Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Apache Superset is a Data Visualization and Data Exploration Platform
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data 📊
Streamlit — A faster way to build and share data apps.
🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。 AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测。支持 Docker 一键部署,数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。⭐
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
10 Weeks, 20 Lessons, Data Science for All!
Roadmap to becoming an Artificial Intelligence Expert in 2022
🔥 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.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域