Apache Superset is a Data Visualization and Data Exploration Platform
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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!
10 Weeks, 20 Lessons, Data Science for All!
🕸️ Web apps in pure Python 🐍
Data Apps & Dashboards for Python. No JavaScript Required.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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.
WebGL2 powered visualization framework
Statistical data visualization in Python
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
Python Data. Leaflet.js Maps.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
A curated list of awesome Jupyter projects, libraries and resources
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.
Vizro is a low-code toolkit for building high-quality data visualization apps.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Visualize and compare datasets, target values and associations, with one line of code.
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
App to easily query, script, and visualize data from every database, file, and API.
No-code in the front, Python in the back. An open-source framework for creating data apps.