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.
- notebooks
- python
- data-science
- machine-learning
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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.
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PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Deep learning library featuring a higher-level API for TensorFlow.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
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ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
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The machine learning toolkit for time series analysis in Python
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
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Elyra extends JupyterLab with an AI centric approach.
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