#data-science

Feature engineering and selection open-source Python library compatible with sklearn.

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)

Pure Rust HDF5 implementation

[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.

Brain of Bolster, Be Ware

Distributed High-Performance Symbolic Regression in Julia

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

STUMPY is a powerful and scalable Python library for modern time series analysis

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

Run Pine Script® anywhere. PineTS is LuxAlgo's open-source Pine Script® runtime for Node.js and the browser.

Algorithmic Trading in Python with Machine Learning

💫 Industrial-strength Natural Language Processing (NLP) in Python

A collaborative learning framework for empowering biomedical research

One command turns CSV, JSON, or benchmark data into interactive, self-contained HTML charts. 8 types (Bar, Line, Scatter, Heatmap, Sankey, Chord, Pie, Radar) with 3D. Local CLI, Docker, and CI/CD.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Statistical Machine Intelligence & Learning Engine

Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

sportsdataverse python package

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

A Julia package for probability distributions and associated functions.

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

Single repository regrouping IO connectors used in the data world.

Redshift Python Connector. It supports Python Database API Specification v2.0.

Datagrunt is a Python library designed to simplify the way you work with CSV, Excel, Parquet, and PDF files. It provides a streamlined approach to reading, processing, and transforming your data into various formats, making data manipulation efficient and intuitive.

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

A Python toolbox for gaining geometric insights into high-dimensional data

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

A high-level machine learning and deep learning library for the PHP language.