Stars
Turns Data and AI algorithms into production-ready web applications in no time.
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or exte…
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Hydra is a framework for elegantly configuring complex applications
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Robyn is a Super Fast Async Python Web Framework with a Rust runtime.
Make awesome display tables using Python
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
Official repository for the Boltz-1 biomolecular interaction model
Fast and customizable framework for automatic ML model creation (AutoML)
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
🧬 gget enables efficient querying of genomic reference databases
Dynamiq is an orchestration framework for agentic AI and LLM applications
A comprehensive toolkit and benchmark for tabular data learning, featuring 30 deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
A data modelling layer built on top of polars and pydantic
IbisML is a library for building scalable ML pipelines using Ibis.