📚 Parameterize, execute, and analyze notebooks
- jupyter
- notebooks
- notebook-generator
- nteract
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📚 Parameterize, execute, and analyze notebooks
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
A tool for analyzing the size of compiled Go binaries, offering cross-platform support, detailed breakdowns, and multiple output formats.
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
AWStats Log Analyzer project (official sources)
Edalitics is an open-source business intelligence platform that lets you build interactive dashboards, analyze data from multiple sources, and connect AI assistants to your business data in minutes.
Schema and data analyzer for MongoDB written in Go.
RShiny app to upload and analyze trend and seasonality of transit ridership data
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
Functions for the input/output and visualization of medical imaging data that follow either the ANALYZE, NIfTI or AFNI formats.