data-visualization

The fastest path to AI-powered full stack observability, even for lean teams.

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

Apache Superset is a Data Visualization and Data Exploration Platform

Apache ECharts is a powerful, interactive charting and data visualization library for browser

The HTML5 Creation Engine: Create beautiful digital content with the fastest, most flexible 2D WebGL renderer.

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!

The flexible backend for all your projects 🐰 Turn your DB into a headless CMS, admin panels, or apps with a custom UI, instant APIs, auth & more.

:memo: An awesome Data Science repository to learn and apply for real world problems.

🕸️ Web apps in pure Python 🐍

Data Apps & Dashboards for Python. No JavaScript Required.

🔥 人人可用的开源 BI 工具，数据可视化神器。An open-source BI tool alternative to Tableau.

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

🏆 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.

🐯 visx | visualization components

Turns Data and AI algorithms into production-ready web applications in no time.

Open-source JavaScript charting library behind Plotly and Dash