Statistics for topic data-analysis
RepositoryStats tracks 579,129 Github repositories, of these 656 are tagged with the data-analysis topic. The most common primary language for repositories using this topic is Python (199). Other languages include: Jupyter Notebook (173), TypeScript (29), C++ (27), JavaScript (27), Java (23), HTML (22), R (19), Go (13)
Stargazers over time for topic data-analysis
Most starred repositories for topic data-analysis (view more)
Trending repositories for topic data-analysis (view more)
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Skore lets you "Own Your Data Science." It provides a user-friendly interface to track and visualize your modeling results, and perform evaluation of your machine learning models with scikit-learn.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Cloudberry Database - Open source alternative to Greenplum Database. Created by the original Greenplum developers.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Skore lets you "Own Your Data Science." It provides a user-friendly interface to track and visualize your modeling results, and perform evaluation of your machine learning models with scikit-learn.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Cloudberry Database - Open source alternative to Greenplum Database. Created by the original Greenplum developers.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Apache Superset is a Data Visualization and Data Exploration Platform
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Skore lets you "Own Your Data Science." It provides a user-friendly interface to track and visualize your modeling results, and perform evaluation of your machine learning models with scikit-learn.
An automated bot for trading on PancakeSwap, created for DeFi enthusiasts and investors who want to optimize their returns on BSC (Binance Smart Chain). It supports risk management features, trailing ...
All-in-one Analytics Solution. Setup in 30 seconds. Display all your data on an AI-powered dashboard. Fully self-hostable and GDPR compliant.
Big data computing platform based on Spark <至轻云-超轻量级大数据计算平台/数据中台>
Dashboards and notebooks in a single place. Create powerful and flexible dashboards using code, or build beautiful Notion-like notebooks and share them with your team.
Visual Data Transformation with Python Code Generation. Low-Code Python-based ETL.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Apache Superset is a Data Visualization and Data Exploration Platform
Streamlit — A faster way to build and share data apps.
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Dashboards and notebooks in a single place. Create powerful and flexible dashboards using code, or build beautiful Notion-like notebooks and share them with your team.
Chat with your data, modify it, visualize it, create and test machine learning models all in plain English. DataHorse makes data analysis and data science conversational using LLMs.
A code-first agent framework for seamlessly planning and executing data analytics tasks.
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...