Awesome AI in Finance
Section: Traditional Market · AI-powered opensource research and analytics workspace.
Entry
Appears in 5 awesome lists
Financial data platform for analysts, quants and AI agents. Open-source investment research infrastructure with extensive data integrations. AGPL-3.0 licensed.
Section: Traditional Market · AI-powered opensource research and analytics workspace.
Section: 11. Specialized Domains · Financial data platform for analysts, quants and AI agents. Open-source investment research infrastructure with extensive data integrations. AGPL-3.0 licensed.
Section: Data Ingestion / ETL · A financial data platform for analysts, quants and AI agents.
Section: Market Data & Data Sources · Python - Open-source financial data platform with extensible provider integrations, a Python interface, a command-line interface, and a local REST API.
Section: Data Science and Analytics · Open Data Platform for analysts, quants and AI agents.
Modern, comprehensive probabilistic programming framework in Python. Bayesian modeling with advanced MCMC sampling, variational inference, and seamless integration with ArviZ for visualization. Apache 2.0 licensed.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Features 350+ connectors with always-in-sync data from SharePoint, Google Drive, S3, Kafka, PostgreSQL and more. BSL 1.1 license (becomes Apache 2.0 after 4 years).
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Quantitative finance: multi-agent AI hedge fund trading system featuring native JevLLM integration to execute fast typed decisions without parsing fragility.
FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.
Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API.