Apache Superset is a Data Visualization and Data Exploration Platform
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- apache
- apache-superset
- data-visualization
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Apache Superset is a Data Visualization and Data Exploration Platform
scikit-learn: machine learning in Python
Translated⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 Say goodbye to information overload, your AI public opinion monitoring assistant and trending topic filtering tool! Aggregates trending topics from multiple platforms + RSS subscriptions, and supports precise keyword filtering. AI smart news filtering + AI translation + AI analysis briefings pushed straight to your phone, and it can also connect to the MCP architecture, enabling AI natural language conversational analysis, sentiment insight, trend prediction, and more. Supports Docker, with data kept locally or in the cloud under your own control. Integrates smart push notifications through channels such as WeChat/Feishu/DingTalk/Telegram/email/ntfy/bark/slack.
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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!
Translated微舆 (Weiyu, "micro public opinion"): a multi-Agent public opinion analysis assistant that anyone can use. It breaks information cocoons, restores the original picture of public opinion, predicts future trends, and assists decision-making! Implemented from scratch, without relying on any framework.
🕸️ Web apps in pure Python 🐍
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
TranslatedAKShare is an elegant and simple financial data interface library for Python, built for human beings! Open-source financial data interface library
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Always know what to expect from your data.
Statsmodels: statistical modeling and econometrics in Python
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Open Machine Learning Course
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Automatically visualize your pandas dataframe via a single print! 📊 💡
A Grammar of Graphics for Python
Missing data visualization module for Python.
Visualize and compare datasets, target values and associations, with one line of code.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.