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
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 🐍
Data Apps & Dashboards for Python. No JavaScript Required.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
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.
matplotlib: plotting with Python
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
The Cloud Native AI Platform
Statistical data visualization in Python
OpenRefine is a free, open source power tool for working with messy data and improving it
Statsmodels: statistical modeling and econometrics in Python
Fast and Accurate ML in 3 Lines of Code
Modin: Scale your Pandas workflows by changing a single line of code
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A unified framework for machine learning with time series
cuDF - GPU DataFrame Library
A python library for user-friendly forecasting and anomaly detection on time series.
Automatic extraction of relevant features from time series:
Open Source Feature Flags, Experimentation, and Product Analytics
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
An open source python library for automated feature engineering