Apache Superset is a Data Visualization and Data Exploration Platform
Repository Index
47,133 repositories indexed
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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!
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
🕸️ Web apps in pure Python 🐍
Data Apps & Dashboards for Python. No JavaScript Required.
matplotlib: plotting with Python
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.
The interactive graphing library for Python :sparkles:
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Network Analysis in Python
Statistical data visualization in Python
Python GUIs for Humans! Create any GUI simple or complicated in a way that's intuitive. Launched in 2018. NEW for 2026 - the LGPL3 Version 6. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.
Scapy: the Python-based interactive packet manipulation program & library.
An open access book on scientific visualization using python and matplotlib
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Python Data. Leaflet.js Maps.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Automatically visualize your pandas dataframe via a single print! 📊 💡
Fast data visualization and GUI tools for scientific / engineering applications
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.