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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open-source agentic AI data assistant for the next generation of AI + Data products.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
📚 Parameterize, execute, and analyze notebooks
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
Windows Events Attack Samples
Visualize Python code execution (line-by-line) in Jupyter Notebook cells.
Hashcat web interface
Jupyterlab extension to show notebook cell completion notifications
Dataset of packed ELF samples
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Accelerated similarity searching of small molecules (bioconductor package)