#data-science

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+.

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

A tabular data visualization engine from your local to CI/CD pipeline

Excelize is a C# port of Go Excelize library that allow you to write to and read from XLAM / XLSM / XLSX / XLTM / XLTX files.

SciRS2 - Scientific Computing and AI in Rust., providing SciPy-compatible APIs while leveraging Rust's performance, safety, and concurrency features. Unlike traditional scientific libraries

Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir

Data-Driven Astrology 💫 Kerykeion is a Python library for astrology. It generates SVG charts and extracts detailed structured data for birth charts, synastry, transits, composite charts, and more.

Python package for graph statistics

A simple python implementation of Fuzzy C-means algorithm.

Bindings and ADO.NET Provider for DuckDB

:rocket: Metadata tracking and UI service for Metaflow!

A Python library for exploring the Constitution of India.

data science in JavaScript, part of the tangent scientific computing suite

Numo::OpenBLAS builds and uses OpenBLAS as a background library for Numo::Linalg

Yet another portfolio management / asset allocation optimisation python library for quants, intitutes and retrail traders.

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

Impress your boss with interactive Decision Tree visualization

Data Engineering Toolbelt - DB-to-Glass

ETL / ELT / Reverse ETL Framework powered by DuckDB, designed to seamlessly integrate and process data from diverse sources. It leverages Markdown as a configuration medium, where YAML blocks define metadata for each data source, and embedded SQL blocks specify the extraction, transformation, and loading logic.

JupyDeep is an extension app for JupyterLab, your AI partner in Jupyter, powered by Pydantic AI/Agents — and beyond.

A Spring Boot web app that buys and sells cryptocurrencies from API data sources. Its quick trading and other features allow users to leverage computer power to outperform the market.

Parallel Barnes-Hut t-SNE implementation written in Rust.

High-performance delimited data pipeline tools.

Crystallize is a lightweight Python framework for rigorous, reproducible data science experiments. Define modular pipelines, apply treatments as experimental variations, and verify hypotheses with statistical tests, all with built-in caching, immutability, and parallelism for trustworthy, efficient results.

Distributed task execution engine with Girder integration, developed by Kitware