Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
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Apache Superset is a Data Visualization and Data Exploration Platform
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 :bar_chart:
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!
🕸️ Web apps in pure Python 🐍
Translated🔥 An open-source BI tool anyone can use, a powerful data visualization tool. An open-source BI tool alternative to Tableau.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
TranslatedWeFlow - a local WeChat chat history export and annual report application
OpenRefine is a free, open source power tool for working with messy data and improving it
Statsmodels: statistical modeling and econometrics in Python
cuDF - GPU DataFrame Library
Open Source Feature Flags, Experimentation, and Product Analytics
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Automatically visualize your pandas dataframe via a single print! 📊 💡
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
A Grammar of Graphics for Python
Next generation of automated data exploratory analysis and visualization platform.
Missing data visualization module for Python.
Java dataframe and visualization library
Beautiful, open source, WebGPU-based charting library
Visualize and compare datasets, target values and associations, with one line of code.
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/