Skip to content
Awesomelist
Type at least 2 letters

Search entries, descriptions and list names. Press Esc to close.

Arrow keys move, Enter opensFull search page

Entry

Cerberus

Appears in 4 awesome lists

Lightweight, extensible data validation library for Python.

Open github.compyeve/cerberus

Found in these lists

Awesome Data Analysis

Section: Useful Python Tools for Data Analysis · Data validation through schemas.

FreshScore 80

Awesome MLOps

Section: Data Validation · Lightweight, extensible data validation library for Python.

FreshScore 80

Best Of Python

Section: cerberus (29 · 3.3K) - Lightweight, extensible data validation library for Python. ISC · (👨‍💻 67 · 🔀 240 · 📦 18K):

FreshScore 88

awesome-python

Section: Serialization and Formats · Lightweight, extensible data validation library for Python

FreshScore 81

Dask

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

In 11 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

Pandas

(label: good first issue) 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

Vaex

Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted).

In 9 listsDetails

Numba

is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support…

In 8 listsDetails

cleanlab

Standard data-centric AI package for data quality and machine learning, automatically detecting label errors, outliers, and dataset issues to improve scientific dataset reliability and model performance (11K+ stars, MIT License)

In 8 listsDetails

Modin

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

In 8 listsDetails

CuPy

An implementation of NumPy-compatible multi-dimensional array on CUDA. CuPy consists of the core multi-dimensional array class, cupy.ndarray, and many functions on it.

In 8 listsDetails