Apache Superset is a Data Visualization and Data Exploration Platform
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Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
🕸️ Web apps in pure Python 🐍
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Missing data visualization module for Python.
Visualize and compare datasets, target values and associations, with one line of code.
Visualize large time series data with plotly.py
cell detection in calcium imaging recordings
High-assurance AI data visualization IDE & analytics workbench. Natural language to charts with local ground-truth table verification.
The power of Chart.js with Python
Turn CSV, Excel, and read-only databases into verified, editable business reports.
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.