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.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Session replay, cobrowsing and product analytics you can self-host. Best for reproducing issues and iterating on your product.
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Render bits of R code for sharing, e.g., on GitHub or StackOverflow.
Banana for Solr - A Port of Kibana
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
A tool that supports one-button reproducible workflows with the Jupyter Notebook and Scons.
Avoid the typical working directory pain when using 'knitr'
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Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105
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UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.