Apache Superset is a Data Visualization and Data Exploration Platform
Repository Index
47,133 repositories indexed
1–13 of 13 · Most stars
🕸️ Web apps in pure Python 🐍
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
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.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Visualize and compare datasets, target values and associations, with one line of code.
AI drew your research figure. Tavotto makes it publication-ready: edit matplotlib and AI-generated figures on a canvas, lay out multi-panel pages in mm, check journal rules before export. Scripts stay untouched.
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
基于麦当劳官方 MCP 的对话式 AI Skill，支持餐品推荐、门店比价、优惠查询、营养计算和探索记录，并通过 Python 生成体素风格分享图片。
High performance, editable, stylable datagrids in jupyter and jupyterlab
Turn CSV, Excel, and read-only databases into verified, editable business reports.
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.