Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.
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!
Data Apps & Dashboards for Python. No JavaScript Required.
matplotlib: plotting with Python
Turns Data and AI algorithms into production-ready web applications in no time.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
Statistical data visualization in Python
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Python Data. Leaflet.js Maps.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
🍊 📊 💡 Orange: Interactive data analysis
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Convert Jupyter Notebooks to Web Apps
Missing data visualization module for Python.
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Make your own running home page
The open source repository for Electricity Maps App and data parsers that enables a real-time visualisation of the CO2 emissions of electricity consumption
🙌 Welcome open-source Python mini-project contributions!
Visualize and compare datasets, target values and associations, with one line of code.
Created by Charles Joseph Minard