1.apache / superset
Apache Superset is a Data Visualization and Data Exploration Platform
Ranked by Attention Score: stars gained over the last 90 complete days
27 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
Apache Superset is a Data Visualization and Data Exploration Platform
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.
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!
matplotlib: plotting with Python
🕸️ Web apps in pure Python 🐍
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Data Apps & Dashboards for Python. No JavaScript Required.
Turns Data and AI algorithms into production-ready web applications in no time.
Statistical data visualization in Python
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Vizro is a low-code toolkit for building high-quality data visualization apps.
Python Data. Leaflet.js Maps.
Spatial Single Cell Analysis in Python
Visualize and compare datasets, target values and associations, with one line of code.
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Missing data visualization module for Python.
No-code in the front, Python in the back. An open-source framework for creating data apps.
Visualize large time series data with plotly.py
Main yt repository
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.
Modern, interactive charts for Jupyter notebooks with Apache ECharts
A python package for animating plots build on matplotlib.
Dash Demo App - New York Oil and Gas
The power of Chart.js with Python
Turn CSV, Excel, and read-only databases into verified, editable business reports.