#data-science

Apache Superset is a Data Visualization and Data Exploration Platform

scikit-learn: machine learning in Python

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

matplotlib: plotting with Python

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Streamlit — A faster way to build and share data apps.

🕸️ Web apps in pure Python 🐍

Annotated data.

The Open Source Feature Store for AI/ML

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

Single-cell analysis in Python. Scales to >100M cells.

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Always know what to expect from your data.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Deep Learning for humans

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Lightning ⚡️ fast forecasting with statistical and econometric models.