Streamlit — A faster way to build and share data apps.
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Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Data Apps & Dashboards for Python. No JavaScript Required.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
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.
Turns Data and AI algorithms into production-ready web applications in no time.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Visualize and compare datasets, target values and associations, with one line of code.
No-code in the front, Python in the back. An open-source framework for creating data apps.
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.