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Awesome Systematic Trading

A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资

5.2k stars695 forks321 entriesLast push Sep 29, 2026 (today)License MIT

This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.

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AI Powered Systematic Trading Systems

DepthSight

| Python TypeScript | - Self-hosted visual algo-trading platform featuring a drag-and-drop strategy builder, an AI co-pilot for automated strategy design, and integrated billing.

In 2 lists

TradeSight

| Python | - AI-powered trading intelligence platform with automated strategy tournaments, multi-market scanning (stocks + prediction markets), 15+ technical indicators, paper trading, and web dashboard. Self-evolving strategies via overnight optimization cron.

In 3 lists

AI Hedge Fund

| Python | - An AI Hedge Fund Team

In 8 listsDetails

FinRL

| Python | - FinRL is the first open-source framework to demonstrate the great potential of applying deep reinforcement learning in quantitative finance.

In 5 listsDetails

FinGPT

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

In 6 listsDetails

QLib (Microsoft)

| Python, Cython | - Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An…

In 5 listsDetails

Qbot

| Python | - AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform.

In 2 lists

VARRD

| Python | - AI-powered trading research platform that validates any trading idea with event studies, statistical tests, and real market data across 15,000+ instruments. CLI, Python SDK, and MCP server.

InvicTrade

AI-powered trading signals with 74% historical win rate, combining strategies from legendary investors using multi-model AI intelligence.

In 2 lists

BullBear

| TypeScript | - Open-source AI agent stock trading battle platform. AI agents get $100K virtual cash, trade real US stock prices, and compete on a public leaderboard with social feed.

FinClaw

| Python | - AI-native quantitative finance engine with genetic algorithm strategy evolution. 484 built-in factors, walk-forward validation, multi-market support (A-shares, US, crypto). Strategies evolve themselves via GA — no manual parameter tuning needed.

In 2 lists

OpenFinClaw

| TypeScript | - AI-native systematic trading framework. Natural language strategy generation, multi-market execution (US/HK/CN/Crypto), self-evolving strategy pipeline with community leaderboard. Built on OpenClaw (68K+ stars).

In 2 lists

StockKit

(GitHub) | TypeScript | - Free AI-powered stock research reports delivered daily. Wall Street-grade analysis for US, China & HK stocks using Claude Opus and multi-model AI engine. 20+ technical indicators, automated email delivery.

In 2 lists

stock-analysis

| Python | - Evidence-driven market recap CLI for A/HK/US stocks and funds, producing Markdown reports and JSON Evidence Packs for AI agent workflows.

In 3 lists

oracle3

| Python | - Autonomous trading agent for Kalshi, Polymarket, and Solana DFlow with Wang Transform pricing engine calibrated on 291,309 resolved contracts (λ̂ = 0.183), eight constraint-based arbitrage strategies, hierarchical MLE, model Greeks, and Kelly-sized execution. Backed by SSRN working…

In 3 lists

Eterna

| MCP | - Launch your own autonomous perp trading AI via Claude Code in 60 seconds. Hybrid exchange MCP with $10B+ aggregated liquidity across 500+ pairs — Claude executes your strategies 24/7. Endpoint: https://mcp.eterna.exchange/mcp

Inalpha

| Python TypeScript | - AI agent framework for quant research: agents pick the factors working now to time entries (time-series rank IC), write full Python strategies audited in sandboxes, and evolve them under multi-objective fitness. Every order passes machine approval — the LLM has no direct…

In 2 lists

TraderHarness

| Python | - Contamination-resistant A-share backtesting environment for LLM trading agents: point-in-time masking, entity/date anonymization, progressive 5-minute execution, fingerprinted replay, and full-fidelity trajectory (SFT) export.

In 3 lists

Algorier

| AI No-code Vibe-Trading | - Describe a strategy in English, get generated algorithm code plus a backtest and forward test, then run it live on your own broker account (15 brokers across forex, crypto, metals, indices, CFDs and equities) — or sell it on the AlgoNetwork marketplace, where buyers…

In 2 lists

Backtest + live trading >General purpose

the0

| Python, TypeScript, Rust, C++, C#, Scala, Haskell, Live Trading | - Self-hosted execution engine for algorithmic trading bots. Each bot runs in an isolated container. No framework imposed — your bot is just normal code.

In 4 listsDetails

aat

| Python, C++, Live Trading| - an asynchronous, event-driven framework for writing algorithmic trading strategies in python with optional acceleration in C++. It is designed to be modular and extensible, with support for a wide variety of instruments and strategies, live trading across (and…

In 3 lists

* barter-rs

| Rust | - Open-source Rust framework for building event-driven live-trading & backtesting systems. Algorithmic trade with the peace of mind that comes from knowing your strategies have been backtested with a near-identical trading Engine.

In 3 lists

* bt

| Python | - Flexible backtesting for Python based on Algo and Strategy Tree

In 3 lists

Better Quant

| C++, Live Trading | - Better quant today, best quant tomorrow. 💪

Botvana

| Rust | - high-performance and event-driven trading system built using Rust

backtrader

| Python, Live Trading | - Event driven Python Backtesting library for trading strategies

In 5 listsDetails

backtesting.py

| Python | - Backtesting.py is a Python framework for inferring viability of trading strategies on historical (past) data. Improved upon the vision of Backtrader, and by all means surpassingly comparable to other accessible alternatives, Backtesting.py is lightweight, fast, user-friendly,…

In 3 lists

FlashFunk

| Rust | - High Performance Runtime in Rust

In 2 lists

QuantFabric

| C++ | - QuantFabric是基于Linux/C++开发的中高频量化交易系统,支持中金所、郑商所、大商所、上期所、上海国际能源中心的期货业务品种交易,支持上交所、深交所的股票、债券品种交易。

In 2 lists

gobacktest

| Go | - A Go implementation of event-driven backtesting framework

In 2 lists

Hikyuu

| C++, Python| - Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架

In 5 listsDetails

Investing Algorithm Framework

| Python | - Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.

In 3 lists

lumibot

| Python | - A very simple yet useful backtesting and sample based live trading framework (a bit slow to run...)

In 3 lists

* nautilus_trader

| Python, Cython, Rust, Live Trading | - A high-performance algorithmic trading platform and event-driven backtester

In 6 listsDetails

PyBroker

| Python | - Algorithmic Trading in Python with Machine Learning

In 4 listsDetails

QuantConnect

| C#, .NET, Live Trading | - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

In 4 listsDetails

QUANTAXIS

| Python, Rust, Live Trading | - QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

In 2 lists

Rqalpha

| Python | - A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

In 5 listsDetails

quanttrader

| Python | - Backtest and live trading in Python. Event based. Similar to backtesting.py.

In 2 lists

qf-lib

| Python | - Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.

In 3 lists

sdoosa-algo-trade-python

| Python | - This project is mainly for newbies into algo trading who are interested in learning to code their own trading algo using python interpreter.

In 2 lists

* vnpy

| Python, Stock, Futures, Crypto, Live Trading | - Python-based open source quantitative trading system development framework, officially released in January 2015, has grown step by step into a full-featured quantitative trading platform

In 4 listsDetails

WonderTrader

| C++, Python | - WonderTrader——量化研发交易一站式框架

In 3 lists

zvt

| Python, Stock, Backtest | - Modular quant framework

In 4 listsDetails

zipline

| Python | - Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting.

In 6 listsDetails

PandoraTrader

| C++ | - CTP 高频量化交易平台 C++ Trade Platform for quant developer

In 4 listsDetails

hftbacktest

| Python, numba | - A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.

In 3 lists

flashalpha-fill-simulator

| Python, Options | - Realistic limit-order fill simulator for options credit/debit spreads. Models post-and-wait limits, stale-quote guards, deterministic same-bar tiebreaks, and a patient-then-cross exit. Engine-agnostic per-bar primitive that embeds in QuantConnect / Backtrader / custom loops;…

In 2 lists

Cipher

| Python | - Backtesting library with focus on position adjustment that allows testing complicated setups. Pythonic, extensible, well-structured, documented.

Gunbot Quant

| Python | - Standalone application for market screening and backtesting. Supports multi-asset, multi-strategy backtests. Includes user interface and CLI options.

In 3 lists

PythonTradingFramework

| Python | - Python algorithmic trading bot framework for Kubernetes: backtesting, hyperparameter optimization, 150+ technical analysis indicators (RSI, MACD, Bollinger Bands, ADX), portfolio management, PostgreSQL integration, Helm deployment, CronJob scheduling. Minimal overhead,…

In 2 lists

Tradingview Screener API

| TypeScript | - Query TradingView's financial data with a type-safe, fluent TypeScript API. Screen stocks, crypto, forex, bonds, and futures using 13,000+ data fields. The library includes a Model Context Protocol (MCP) server that lets you query financial markets using natural language in Claude…

QTradeX

| Python, Live Trading | - A powerful and flexible Python framework for designing, backtesting, optimizing, and deploying algotrading bots

In 4 listsDetails

FinHack

| Python | - 一个易于拓展的量化金融框架,它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作

pysystemtrade

| Python, Live Trading | - Systematic Trading in python from book by Rob Carver

In 2 lists

finmarketpy

| Python | - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

In 4 listsDetails

vectorbt

| Python, numba | - vectorbt takes a novel approach to backtesting: it operates entirely on pandas and NumPy objects, and is accelerated by Numba to analyze any data at speed and scale. This allows for testing of many thousands of strategies in seconds.

In 3 lists

fund-strategy

| TypeScript | - 一个简单实用的基金投资策略分析,基金回测工具

fastquant

| Python | - Backtest and optimize your ML trading strategies with only 3 lines of code

In 2 lists

Manifold-BT

| Python, Rust | - High-performance Rust-powered backtesting engine: strategies are written as vectorized signal expressions and run with realistic per-bar fills (fees, slippage and look-ahead handled), testing hundreds of thousands of parameter combinations in seconds, plus walk-forward and Monte…

In 2 lists

Backtest + live trading >Crypto currency focus

basana

| Python | - A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.

In 3 lists

c-binance-future-quant

| Python | - 低成本,高效率,简单实现的币安合约量化系统架构

triangular-arbitrage2

| TypeScript | - a server side application for perform triangular arbitrage.

bTrader

| Rust | - Triangle arbitrage trading bot for Binance

In 3 lists

crypto-crawler-rs

| Rust | - Crawl orderbook and trade messages from crypto exchanges

In 2 lists

cryptotrader-core

| Rust | - Simple to use Crypto Exchange REST API client in rust.

In 2 lists

openlimits

| Rust | - A Rust high performance cryptocurrency trading API with support for multiple exchanges and language wrappers.

In 2 lists

Freqtrade

| Python | - Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning.

In 5 listsDetails

* Hummingbot

| Python, Cython, Live Trading | - A client for crypto market making

In 3 lists

Jesse

| Python | - Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies.

In 5 listsDetails

* OctoBot

| Python, Cython, Live Trading| - Cryptocurrency trading bot for TA, arbitrage and social trading with an advanced web interface

In 6 listsDetails

DeepAlpha

Python | AI crypto trading bot for Bybit with 70.9% walk-forward validated accuracy. LightGBM + XGBoost ensemble with 72 ML features.

In 3 lists

Kelp

| Go, Live Trading | - Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges

In 3 lists

exc

| Rust | - The abstraction layer of exchanges.

MyCryptoBot

| Python, Js | - Automated, open source crypto trading and backtesting platform

godzilla.dev

| C++, Python | - Open-source framework for crypto quant trading, funding rate arbitrage and ultra-low-latency market making. GitHub

In 2 lists

Backtest + live trading >Machine Learning / Reinforcement Learning Focused

ml-quant-trading

| Python, PyTorch | - Research stack for multi-factor ML experiments with 213 mask-aware factors, bias correction, portfolio optimization, and vectorized backtesting.

In 4 listsDetails

TradingGym

| Python, Live Trading | - Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

In 3 lists

Stock Trading Bot using Deep Q-Learning

| Python | - Stock Trading Bot using Deep Q-Learning

In 2 lists

Alpha Collections >General Alpha

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte…

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

In 3 lists

analyzingalpha

Implementation of simple strategies

In 2 lists

Finance

| Python | - 150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

In 2 lists

ThetaGang

ThetaGang is an IBKR bot for collecting money

In 2 lists

https://www.reddit.com/r/options/comments/a36k4j/the_wheel_aka_triple_income_strategy_explained/

PyTrendFollow

| Python | - PyTrendFollow - systematic futures trading using trend following

In 2 lists

czsc - 缠中说禅技术分析工具

| Python | - 缠中说禅技术分析工具;缠论;股票;期货;Quant;量化交易

In 2 lists

volest

| Python | - A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

In 2 lists

一个中文策略合集

| Python |

一个实盘的股票趋势策略

| Python | -

Quantitative-analysis

| Python | - 量化研究-券商金工研报复现

Alpha Collections >Expression based alpha

torchquantum

| Cython, C, Python | - TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.

OpenAlpha

| C++ | - An open source equity statistical arbitrage backtest simulator, use the same API as WorldQuant's WebSim

stock

| Python | - 一些因子挖掘的代码 A 股

AlphaGen

| Python | - Automatic formulaic alpha generation with reinforcement learning.

Genetic-Alpha

A genetic programming algorithm used for generating alpha factors in the multi-factor investment strategy

alpha_examples

An expression based alpha demo using Polars

Alpha Collections >Stock picking

InvesTool

| Go | - Golang实现财报分析、个股基本面检测、基本面选股、4433法则基金筛选与检测、基金持仓相似度、股票选基、基金经理筛选

Sequoia选股系统

| Python | - A股自动选股程序,实现了海龟交易法则、缠中说禅牛市买点,以及其他若干种技术形态

ValueInvest

| Python | - A modular Python library for comprehensive stock valuation using multiple methodologies (Graham, DCF, EPV, DDM, etc.) with real-time data fetching and news sentiment analysis

Alpha Collections >Orderbook

The Microprice

An estimator of the fair price, given the state of the order book.

Alpha Collections >Arbitrage (Crypto)

Blackbird

| C++ | - Blackbird Bitcoin Arbitrage: a long/short market-neutral strategy

In 3 lists

bitcoin-arbitrage

| Python | - Bitcoin arbitrage - opportunity detector

In 3 lists

R2 Bitcoin Arbitrager

| TypeScript | - R2 Bitcoin Arbitrager is an automatic arbitrage trading system powered by Node.js + TypeScript.

In 3 lists

polymm

| Python | - Market-making and arbitrage bot for Polymarket sports markets. De-vigs sportsbook odds to a fair price, quotes passively on the CLOB, and hedges the opposite side. Includes wallet analytics scripts that run against any public Polymarket wallet.

In 2 lists

Basic Components >Fundamental libraries

Cvxpy

| Python, C++ | - A Python-embedded modeling language for convex optimization problems.

In 3 lists

jax

| Python | - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

In 6 listsDetails

Numpy

| Python, C | - The fundamental package for scientific computing with Python

In 6 listsDetails

trade-frame

| C++ | - C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. Some support for Alpaca & Phemex. Notifications via…

In 3 lists

Scipy

| Python, C | - Fundamental algorithms for scientific computing in Python

In 6 listsDetails

statsmodels

Python module that allows users to explore data, estimate statistical models, and perform statistical tests.

In 7 listsDetails

PyMC

| Python | - Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

In 10 listsDetails

DEAP

|Python| - Distributed Evolutionary Algorithms in Python

In 7 listsDetails

Pandas

| Python, Cython | - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

In 9 listsDetails

Polars

| Rust, Python | - Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as memory model.

In 10 listsDetails

FireDucks

Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API

Hugging Face

The AI community building the future.

In 2 lists

LangChain

Building applications with LLMs through composability

In 20 listsDetails

Sikit-learn

| Python, Cython | - Machine learning in Python

In 10 listsDetails

Pytorch

| Python | - Tensors and Dynamic neural networks in Python with strong GPU acceleration

In 16 listsDetails

Keras

| Python | - The most user friendly Deep Learning for humans in Python

In 9 listsDetails

TensorFlow

| Python, C++ | - More low level Deep Learning framework

In 23 listsDetails

Rustworkx

| Rust, Python | - A high performance Python graph library implemented in Rust.

In 4 listsDetails

Networkx

| Python | - Network Analysis in Python

In 6 listsDetails

Basic Components >Computation

Ray

| Python, C++ | - An open source framework that provides a simple, universal API for building distributed applications.

In 13 listsDetails

csp (Point72)

| Python, C++ | - csp is a high performance reactive stream processing library, written in C++ and Python

In 2 lists

Dask

| Python | - Parallel computing with task scheduling in Python with a Pandas like API

In 11 listsDetails

Spark

| Scala | - Apache Spark - A unified analytics engine for large-scale data processing

In 8 listsDetails

Hamilton

| Python | - A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spark, airflow, jupyter, fastapi, python scripts, etc.

In 10 listsDetails

Incremental (JaneStreet)

| Ocaml | - Incremental is a library that gives you a way of building complex computations that can update efficiently in response to their inputs changing, inspired by the work of Umut Acar et. al. on self-adjusting computations. Incremental can be useful in a number of applications

In 2 lists

Joblib

| Python | - running Python functions as pipeline jobs

In 5 listsDetails

Tributary

| Python | - Streaming reactive and dataflow graphs in Python

In 3 lists

GraphKit(No activity)

| Python | - A lightweight Python module for creating and running ordered graphs of computations.

In 2 lists

Man MDF (No activity)

| Python | - Data-flow programming toolkit for Python

In 2 lists

Anchors - C++(No activity)

| C++ | - C++ library for incremental computing

Anchors - Rust(No activity)

| Rust | - self adjusting computations in rust

Loman (No activity)

| Python | - Loman is a Python library designed to allow quantitative researchers to control complex live updating calculation processes

Basic Components >Python Performance Booster

cython

Cython is a Python compiler that makes writing C extensions for Python as easy as Python itself. Cython is based on Pyrex, but supports more cutting edge functionality and optimizations.

In 5 listsDetails

numba

NumPy aware dynamic Python compiler using LLVM

In 8 listsDetails

pybind11

Seamless operability between C++11 and Python

In 6 listsDetails

pyo3

Rust bindings for the Python interpreter

In 3 lists

CuPy

| Python, C++, Cython, Cuda | - CuPy is an open-source array library for GPU-accelerated computing with Python. 100x Boost for some operations

In 8 listsDetails

CuDF

| Python | - cuDF - GPU DataFrame Library. No-code-change accelerator for pandas.

In 5 listsDetails

codon

| C++ | - A high-performance, zero-overhead, extensible Python compiler using LLVM

In 4 listsDetails

Bottleneck

| Python, C | - Fast NumPy array functions written in C

In 2 lists

NumExpr

| Python, C++ | - Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more

In 3 lists

pandarallel

| Python | - A simple and efficient tool to parallelize Pandas operations on all available CPUs

In 3 lists

Basic Components >Python Profilers

py-spy

Sampling profiler for Python programs

In 4 listsDetails

pyinstrument

Call stack profiler for Python. Shows you why your code is slow!

In 5 listsDetails

Memray

Memray is a memory profiler for Python

In 4 listsDetails

Basic Components >Alternative libraries

ndarray

| Rust | - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

In 3 lists

faer

| Rust | - Linear algebra foundation for the Rust programming language

DataFrame

| C++ | - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

In 2 lists

Vaex

| Python, C++ | - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second

In 9 listsDetails

Modin

| Python | - Modin: Speed up your Pandas workflows by changing a single line of code

In 8 listsDetails

Koalas

| Python | - Koalas: pandas API on Apache Spark

In 3 lists

Analytic tools >Metrics computation

alphalens (Fork)

| Python | - Performance analysis of predictive (alpha) stock factors

ffn

| Python | - A financial function library for Python

In 3 lists

honest-signals

| Python | - Scores detected chart patterns against the pattern-free baseline for the same market and timeframe, reporting lift with cluster-robust confidence intervals instead of a hit rate against 50%

In 2 lists

Jacobian

| Python, MCP, CLI | - Composable mathematics for agent-driven quant research, with exact computation and conjecture testing across polynomial maps, linear algebra, and graph algorithms.

In 2 lists

Lacuna

| Python, Rust | - Engine-agnostic quantitative research validation for leakage, overfitting, robustness, costs, and point-in-time evidence.

In 2 lists

quantstats

| Python | - Portfolio analytics for quants, written in Python

In 4 listsDetails

Analytic tools >Indicators

TA-Lib

| C | - Perform technical analysis of financial market data

In 2 lists

Python Wrapper

| Python |

In 3 lists

Go Port

| Go |

Rust Wrapper

| Rust |

ta-rust

| Rust | - Technical analysis library for Rust language

In 3 lists

finta

| Python | - Common financial technical indicators implemented in Pandas

In 5 listsDetails

pandas-ta

| Python | - Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns.

In 3 lists

kand

| Rust & Python | - A blazingly fast technical analysis library in Rust and Python.

chart-patterns

| TypeScript | - Technical analysis library for chart patterns, price action, and volume-based pattern detection.

ChartScout

Real-time crypto chart pattern detection and alerts

In 3 lists

Wickra

| Rust & Python & JavaScript & C++ & C# & Go & Java & R | - Streaming-first technical-analysis library with 514 O(1)-per-tick indicators across 24 families; bit-exact batch and streaming from one Rust core.

In 6 listsDetails

QuantWave

| Python Rust Polars | - Polars-native technical analysis and backtesting with bit-identical batch and streaming parity, plus an agent skill for consistent research-to-live strategy code.

In 3 lists

Analytic tools >Pricing

Quantlib

PyQL

| Python, Cython | - Python wrapper of the famous pricing library QuantLib

In 3 lists

QuantLib.jl

| Julia | - Quantlib implementation in pure Julia.

In 2 lists

FinancePy

| Python | - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

In 4 listsDetails

tf-quant-finance

High-performance TensorFlow library for quantitative finance from Google

In 5 listsDetails

vollib

| Python | - Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.

In 2 lists

vanna

| Python | - Black-Scholes and CRR-binomial options pricing with Greek-attributed P&L: every trade decomposed into delta/gamma/theta/vega/vanna/volga via a second-order Taylor expansion, with Greeks cross-checked against finite differences and a live in-browser demo running the real engine via…

Analytic tools >Risk

pyfolio

| Python | - Portfolio and risk analytics in Python

In 5 listsDetails

curistat

| Python | - Futures volatility forecasting for ES/NQ. Daily CVN rating (1-10), regime detection (CRC composite), directional signals, economic event impact analytics. Includes MCP server for AI agent integration.

System R

| Python | - Risk intelligence API for trading agents. Pre-trade gate with position sizing (G-formula/Kelly), drawdown analysis, Monte Carlo simulation, regime detection. REST API and MCP server.

QuantDojo Tools Hub

Free, no-login web calculators for position sizing, Kelly criterion, risk/reward, drawdown recovery, Sharpe ratio, and trading expectancy.

Analytic tools >Optimization

cvxportfolio

| Python | - Portfolio optimization and back-testing.

In 2 lists

skfolio

| Python | - Python library for portfolio optimization built on top of scikit-learn

In 4 listsDetails

Riskfolio-Lib

| C++, Python | - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

In 4 listsDetails

Deepdow

| Python | - Python package connecting portfolio optimization and deep learning. Its goal is to facilitate research of networks that perform weight allocation in one forward pass.

In 4 listsDetails

PyPortfolioOpt

| Python | - Financial portfolio optimizations in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

In 2 lists

empyrial

| Python | - Empyrial is a Python-based open-source quantitative investment library dedicated to financial institutions and retail investors, officially released in March 2021.

In 2 lists

spectre

| Python | - spectre is a GPU-accelerated Parallel quantitative trading library, focused on performance.

In 3 lists

Analytic tools >TimeSeries Analysis

tsfresh

Automatic extraction of relevant features from time series.

In 7 listsDetails

Facebook Prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

In 6 listsDetails

pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

In 4 listsDetails

hurst-calculator

Rescaled Range (R/S) analysis for estimating the Hurst exponent of a time series. Classifies series as mean-reverting, random walk, or trending. NumPy-only, single-file Python.

Visualization

Matplotlib

| Python | - matplotlib: plotting with Python

In 7 listsDetails

Seaborn

| Python | - Statistical data visualization in Python

In 5 listsDetails

Dash

| Python | - Data Apps & Dashboards for Python. No JavaScript Required.

In 7 listsDetails

Perspective

| C++, Python | - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

In 4 listsDetails

Streamlit

| Python | - Streamlit — A faster way to build and share data apps.

In 10 listsDetails

gradio

| Python | - Build and share delightful machine learning apps, all in Python.

In 11 listsDetails

pylatex

| Python | - A Python library for creating LaTeX files

D-Tale (Man Group)

| JavaScript, Python | - D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures.

In 5 listsDetails

mplfinance

| Python | - Financial Markets Data Visualization using Matplotlib

In 3 lists

KLinePic

| TypeScript | - Converts broker and exchange trade records into annotated candlestick review charts with buy/sell markers, batch PNG/ZIP export, and an Agent API. Examples

btplotting

| Python, bokeh | - btplotting provides plotting for backtests, optimization results and live data from backtrader.

In 2 lists

Message Queues

Kafka

| Java | - Mirror of Apache Kafka

In 6 listsDetails

RedPanda

| C++ | - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

In 6 listsDetails

BlazingMQ

| C++ | - A modern high-performance open source message queuing system

In 2 lists

Databases

ArcticDB (Man Group)

| C++, Python | - ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

In 3 lists

DuckDB

| C++, Python | - ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

In 8 listsDetails

pylance

| Rust | - Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow

Arctic (Man Group)

| Python | - High performance datastore for time series and tick data

In 2 lists

PyStore

| Python | - Fast data store for Pandas time-series data

In 2 lists

Marketstore

| Go | - DataFrame Server for Financial Timeseries Data

In 2 lists

Tectonicdb

| Rust | - Tectonicdb is a fast, highly compressed standalone database and streaming protocol for order book ticks.

In 2 lists

Redis

| C | - Redis is an in-memory database that persists on disk.

In 7 listsDetails

kdb

| q | - Companion files to kdb+ and q

Data Source

FilingFirehose

SEC EDGAR JSON API with body-text-classified 8-Ks (catches buried items: 7.3% of Item 8.01 filings flagged), 13D/G with 21+ activist filers tagged, S-3/424B5 ATM detection. Free 72h tier, paid full archive from $29/mo. REST + MCP + Python SDK + GitHub Action.

AltData Atlas

Open directory of alternative data providers for systematic and fundamental investors.

polymarket-canary-tape

Free CC-BY-4.0 prediction-market microstructure tape: 271M CEX trades + 61M Polymarket order-book WebSocket events (Apr-Jul 2026), including a dual-vantage overlap window for latency studies. Companion open-source bot lab: polymarket-bot-lab.

Data Source >Stocks and General

* OpenBB Terminal

| Python | - Investment Research for Everyone, Anywhere.

In 2 lists

FinanceDatabase

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

In 4 listsDetails

FinanceToolkit

Toolkit with 200+ financial metrics including 80+ financial ratios, 30+ technical indicators, 20+ risk and performance metrics and 50+ macro indicators which pulls from Financial Modeling Prep, Yahoo Finance, OECD, GMBD and more.

In 4 listsDetails

AkShare

|Python| - AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

In 5 listsDetails

多因子模型数据

获取经典的量化多因子模型数据

findatapy

|Python| - findatapy creates an easy to use Python API to download market data from many sources including Quandl, Bloomberg, Yahoo, Google etc. using a unified high level interface.

In 3 lists

FXMacroData

|Python| - Real-time forex macroeconomic data API serving central bank announcements, policy rates, inflation, employment, and GDP for 18 currencies. Includes MCP server and OAuth support.

yfinance

|Python| - yfinance offers a threaded and Pythonic way to download market data from Yahoo!Ⓡ finance.

In 5 listsDetails

pandas-datareader

|Python| - Up to date remote data access for pandas, works for multiple versions of pandas.

In 5 listsDetails

Wallstreet

|Python| - Wallstreet: Real time Stock and Option tools

In 3 lists

TuShare

|Python| - TuShare is a utility for crawling historical data of China stocks

In 4 listsDetails

Investpy

Financial Data Extraction from Investing.com with Python

In 3 lists

awesome-data

Awesome-data shows most interesting data-source around the financial world

Fundamental Analysis Data

| Python | - Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 20.000+ companies.

In 2 lists

Financial Data

Stock Market and Financial Data API

In 4 listsDetails

StockAInsights

Institutional-grade financial statements API with AI extraction from SEC filings — not XBRL. Covers domestic and foreign filers (20-F, 6-K, 40-F), normalized quarterly and annual data.

In 3 lists

Insider Alerts

SEC Form 4 insider buying and selling alert platform with watchlists, searchable filings, and Telegram notifications for public insider activity.

goMacro.ai

AI-powered economic calendar with institutional-grade macro insights and scenario planning for NFP, CPI, PPI and other data releases.

Chart Library

|Python| - Historical chart pattern similarity search engine. 24M+ pre-computed embeddings (pgvector) across 15K+ symbols and 10 years of minute-bar data. Returns forward returns (1/3/5/10 day) for pattern-based strategy development. Also available as MCP server.

In 2 lists

Helium MCP

| REST API, MCP | - Free REST + MCP API providing ML-derived options pricing (per-symbol fair value, prob_ITM, Greeks), real-time market data, and AI-ranked trading strategies. Also includes 31-dim news bias scoring across 3.2M+ articles for sentiment overlays. 50 free queries/IP, no signup. Source

In 3 lists

The Stall

| MCP, x402 | - Pay-per-call MCP server with 191 financial market data capabilities: US stocks, ETFs, equity fundamentals, analyst ratings, earnings surprises, insider trades, hedge fund holdings, options chains, treasury yields, macro indicators, DeFi, crypto, and prediction markets. Pays in USDC…

In 3 lists

AlphaAI

| REST API, MCP | - Relevance-scored, ticker-linked financial news (GDELT + SEC EDGAR): every article gets a 1-10 relevance score, a category, and per-ticker impact at ingest, and SEC Form 4 insider filings become scored structured events. Free tier: 20 req/min and 100/day, no card. MCP

In 2 lists

BDE Score™

| Python, MCP | - AI-powered multi-market stock analysis with transparent multi-factor scoring for 73 stocks across US, HK, and A-share markets. EU AI Act Art.50 compliant. MCP server + REST API.

In 4 listsDetails

Data Source >Alternative

Adanos Market Sentiment API

| REST API | - Cross-platform market sentiment API for equities using Reddit, X/Twitter, and Polymarket signals; returns trending tickers, buzz scores, and sentiment snapshots for quant workflows.

In 3 lists

13F Insight

AI-powered platform for tracking institutional investor 13F holdings; covers 5,000+ managers with position change alerts, concentration analysis, and quarterly filing summaries. Free tier available.

In 3 lists

SEC EDGAR Filing API

edgartools

|Python| - SEC EDGAR data for quant strategies — fundamentals, institutional holdings (13F), insider transactions, and corporate events (8-K). Includes MCP server for AI workflows.

In 5 listsDetails

AlphaSMO

| CLI, MCP, REST API | - SEC 13F institutional holdings, Form 4 insider trading, and a "smart money convergence" signal (tickers where institutions and insiders are both buying). Free anonymous tier, no signup required.

In 2 lists

CongressionalStockBrain

AI-powered STOCK Act disclosure tracker that converts U.S. lawmaker trade filings into machine-scored signals for retail investors. Alternative data source for equity quant strategies. Free tier available.

In 3 lists

Helium MCP

| REST API, MCP | - Real-time stock, ETF, and crypto data with AI bull/bear cases and price forecasts; ML options fair value (probability ITM, full Greeks); top-ranked options strategies (short vol, long vol); and news sentiment from 5,000+ sources. MCP server with REST endpoints. Free tier: 50…

In 4 listsDetails

Data Source >Crypto

Cryptofeed

|Python| - Cryptocurrency Exchange Websocket Data Feed Handler with Asyncio

In 2 lists

Orderflow

| TypeScript, NestJS, TimescaleDB | - Builds real-time Footprint Candles from WebSocket trade data across crypto exchanges.

Agent Gateway

| REST API | - Free unified REST API providing real-time prices for 500+ crypto tokens via Hyperliquid. No API key required for price data. OpenAPI spec at /openapi.json.

In 4 listsDetails

tessera-api

| Python | - Official client for Tessera: order-flow-enriched OHLCV, funding-rate, and positioning datasets built from raw Hyperliquid trades, read straight into Polars or DuckDB over a REST API. Website

CoinPaprika

| REST API | - Crypto market data API with prices, volume, market cap, OHLCV, and exchange data for 12,000+ coins. No API key required; free tier is 20,000 calls/month.

In 6 listsDetails

DexPaprika

| REST API | - Free DEX/DeFi data API covering pools, tokens, OHLCV, and trade history across 36 chains and 230+ DEXes. No API key needed; free tier is 200K requests/month.

In 6 listsDetails

PreReason

| TypeScript, REST API, MCP | - Pre-analyzed Bitcoin and macro market briefings. 17 contexts covering BTC, Fed balance sheet, M2, Treasury yields, hash rate, difficulty, mining production costs, and cross-asset correlations (SPY, QQQ, VXX, UUP as BTC relationship signals). Returns trend direction,…

Sharpe

| REST API, MCP | - Crypto market intelligence API and MCP server covering funding rates, options, arbitrage, narratives, exchange listings, and news. Public endpoints work without a required API key. Website

In 3 lists

Coinugget

Real-time RSI signals, price action & volume spikes dashboard for crypto traders. Free, no sign-up required.

In 3 lists

Microverse Systems

Real-time L2 order books from 21 exchanges. Free WebSocket API, historical replay, sub-ms latency.

Market Posture Daily

Daily trend, regime and relative-strength data for ~90 crypto assets and US stocks/ETFs (price vs the 50/200-day trend, momentum, correlation) plus a cointegration pair screener. Free terminal + JSON API.

In 2 lists

BitBank

| REST API | - AI-powered crypto forecasting and predictions API with machine learning models for price movement analysis.

In 2 lists

AgentServices

| REST API, MCP, x402 | - Crypto & market data API platform with 54 services, 97 endpoints, and 37 MCP tools. On-chain payments via x402 (USDC on Base). Covers prices, OHLCV, on-chain metrics, DeFi data, and technical indicators. Server

WealthVille

| REST API, MCP | - DeFi liquidity-pool scoring for LP/yield strategies. Covers ~68,800 Solana pools (Meteora DLMM, Orca Whirlpool, Raydium AMM/CLMM/CPMM) and 575 EVM pools across Ethereum, Arbitrum, Base, Optimism, Polygon and BSC. Returns a 0-100 pool score plus an ENTER/HOLD/EXIT/REDUCE/AVOID…

Shingou

| REST API, MCP | - Hourly news sentiment and typed market events for 30 crypto pairs. Every hourly bucket's hash is committed to a public append-only log at publish time, so point-in-time history can be verified as never rewritten before backtesting, and the log repo ships a one-command verifier.…

In 2 lists

0xArchive

| REST API, WebSocket, MCP | - Real-time and historical Hyperliquid and Lighter market data with order-level depth, funding, open interest, replay, and data-quality endpoints.

ByKaranteli

| TypeScript, REST API, MCP, x402 | - Crypto derivatives and market-structure data: cross-exchange funding rates and funding arbitrage, open interest, exchange-recorded liquidations with cascade forensics, Deribit options snapshot and tape, VPIN order-flow toxicity, Coinbase premium, CFTC…

Data Source >Prediction Markets

Parsec

| Rust, TypeScript, Python | - Prediction market data, execution, and live streams across all major exchanges. Website

ProfitPlay Agent Arena

| Python, JavaScript | - Open prediction market arena where AI agents compete in real-time BTC/ETH/SOL prediction games. Python and Node.js SDKs, 9 live markets, REST + WebSocket APIs. (Demo)

In 2 lists

pykalshi

| Python | - Feature-rich Python client for Kalshi prediction markets with WebSocket streaming, automatic retries, rate limiting, pandas integration, Jupyter rendering, and local orderbook management.

TurbineFi

| Web | - Build, backtest, and deploy automated trading strategies for prediction markets including Kalshi and Polymarket.

TBD Predict

| TypeScript | - Solana-based prediction market for human opinions with an agent CLI (@tbd-vote/cli) and AGENTS.md spec for AI agents to authenticate, list opinion campaigns, and place bets via JSON-friendly commands. Website

In 2 lists

PolyMind

| - Real-time Polymarket trading alerts with multi-AI analysis (Groq, Claude, Gemini). Monitors 200+ markets every 15 seconds across 12 signal types: whale bets, volume spikes, price reversals, coordinated wallets, and more. Free tier available.

In 3 lists

marketlens

| Python, REST API | - Tick-level Polymarket L2 order book history covering the whole catalog (crypto, sports, weather, economics) from March 2026, served as REST or parquet exports, with a backtesting engine that models queue position, latency, slippage and settlement delay. Free tier, then from…

Live Tennis API

| REST API, WebSocket, MCP | - Event-side data feed for trading tennis markets on prediction exchanges: real-time scores with serving and break-point state, model win probabilities, H2H, rankings, and a 1968-2022 point-by-point archive for backtesting. Free tier (30 req/min, 100/day); WebSocket…

In 2 lists

resolvedkit

| Python | - Polymarket backtester that fills orders by walking the historical order book level by level, with Polymarket's taker-fee curve, order latency and settlement at the real resolution. MIT, pip install resolvedkit, runs on a bundled sample without an API key.

Resolved Markets

| REST API, WebSocket, MCP | - Polymarket historical order book snapshots (crypto, sports, weather, economics, equities, social) since March 2026, with trades, settlement results and Hyperliquid perp books, over REST, WebSocket and a hosted MCP server. Free tier (5,000 credits/mo, crypto markets),…

Broker APIs

Ib_insync

| Python | - Python sync/async framework for Interactive Brokers API

In 2 lists

PENDAX

| JavaScript | - A free Javascript library allowing simplified interaction with trading and data commands on a growing list of cryptocurrency exchanges like FTX, OKX, ByBit, & more.

In 4 listsDetails

ccxt

| Python, JavaScript | - A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

In 7 listsDetails

Coinnect

| Rust | - Coinnect is a Rust library aiming to provide a complete access to main crypto currencies exchanges via REST API.

In 3 lists

async_rithmic

| Python | - Python async framework for Rithmic Protocol Buffer API

pmxt

| Python, JavaScript | - A JavaScript / Python prediction markets trading API with support for major exchanges. (The ccxt for prediction markets)

In 3 lists

PolyClawster

AI agent skill for trading on Polymarket prediction markets. Non-custodial, whale signal detection, public leaderboard. Works as OpenClaw skill or Telegram Mini App.

NanoStack

| Rust, REST API | - Permissionless cross-chain execution fabric. 86 chains, 8-15 bps fee, no API key required. Direct pool routing, conservation-enforced settlement, sub-millisecond dispatch.

TickerAll

| REST, WebSocket | - Hosted MetaTrader 5 & MT4 broker API. Place trades, stream live ticks, and pull historical candles from your code with no MetaTrader terminal — Python & TypeScript SDKs. Permanent free tier on demo accounts.

In 2 lists

Quant Shops Code and Blog

JaneStreet Tech Blog

In 2 lists

JaneStreet Tech Podcast

Tech Talks

Open Source

Tech stack: Ocaml, C, F#

Man Group Tech Blog

In 2 lists

Podcast

Open Source

Tech stack: Python, JavaScript, Java, C, Go

Open Source

Tech stack: Python, TypeScript, JavaScript, Rust, Nix

Two Signal Engineering

In 2 lists

Open Source

Tech stack: Python, Java, C, Clojure, Rust

HRT Engineering

In 2 lists

Resources >Research

RevenPack - Insight

Alexandria Technology - Insight

Resources >Books

Building Low Latency Applications with C++

Source Code:

Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage (2021)

Algorithmic Trading with Python (2020) by Chris Conlan

Python - Free pandas and scikit-learn resources for trading simulation, backtesting, and machine learning on financial data.

In 3 lists

Python for Algorithmic Trading (2020) by Dr. Yves J. Hilpisch

Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.

In 2 lists

pysystemtrade

| Python, Live Trading | - Systematic Trading in python from book by Rob Carver

In 2 lists

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for…

Code for Machine Learning for Trading (3rd edition), from data sourcing and alpha factor research to live execution

In 3 lists

Advances in Financial Machine Learning

Machine Learning for Asset Managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

In 2 lists

Resources >Blogs

Interested in systematic trading? Check QuantBox

大富翁量化

Proof Engineering: The Algorithmic Trading Platform

KeepRule

Free investment principles knowledge base with 500+ rules from Buffett, Munger, Graham and more, organized by investing scenarios.

In 2 lists

Resources >Tutorials

Algorithmic Trading for Cryptocurrencies in Python

A simple yet practical experiment tutorial for cryto trading.

In 2 lists

Solo Crypto Quant Starter Kit

A 150-page playbook for building a Solana-native signal engine + autonomous trading bot solo on $0/mo infrastructure. Covers universe selection, top-K signal filtering, eighth-Kelly sizing, MEV sandwich defenses, three-tier wallet architecture, Canadian NI 31-103 compliance, and Oracle Cloud…

In 2 lists

Resources >Courses

Hudson and Thames Quantitative Research

Our mission is to promote the scientific method within investment management by codifying frameworks, algorithms, and best practices.

In 2 lists

Relevant Projects

量化交易知识集 @ 泛程序员

Collect knowledge around systematic trading, including software design, trading strategies, statistical skill. 量化交易/系统化交易知识集

Awesome Quant 中文

中国的Quant相关资源索引

awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

Awesome Crypto Trading Bots

CongressionalStockBrain

AI-powered STOCK Act disclosure tracker that converts U.S. lawmaker trade filings into machine-scored signals for retail investors. Alternative data source for equity quant strategies. Free tier available.

In 3 lists

PolyMind

| - Real-time Polymarket trading alerts with multi-AI analysis (Groq, Claude, Gemini). Monitors 200+ markets every 15 seconds across 12 signal types: whale bets, volume spikes, price reversals, coordinated wallets, and more. Free tier available.

In 3 lists

EventTrader

CLOB exchange with 10 AI trading agents running live. Automated market making, epoch keeping, smart order routing. Pre-launch TGE token predictions on Base L2. REST + WebSocket API. API | Platform

ToolsNova

Free browser-based trading calculators for forex and gold traders. Includes XAU/USD pip calculator, margin calculator, position size calculator and 100+ other tools. No signup required.

See category
94

Awesome Rust

rust-unofficial/awesome-rust

A curated list of Rust code and resources.

Fresh★ 60k1833 entriesPushed today
94

Awesome Mac

jaywcjlove/awesome-mac

 This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.

Fresh★ 115k1316 entriesPushed today
94

Awesome Python

vinta/awesome-python

Curated Python frameworks, libraries and resources.

Fresh★ 324k504 entriesPushed today
94

Awesome C++

fffaraz/awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

Fresh★ 74k1358 entriesPushed yesterday
94

Awesome Go

avelino/awesome-go

Curated Go frameworks and libraries.

Fresh★ 186k3119 entriesPushed yesterday
94

Awesome PHP

ziadoz/awesome-php

A curated list of amazingly awesome PHP libraries, resources and shiny things.

Fresh★ 33k87 entriesPushed 2 days ago