#reproducibility

Reproducible matplotlib wrapper with mm-precision layouts

A Python library for exploring the Constitution of India.

Open-source engine behind Endstate: reinstall your apps and restore your settings on a fresh machine from one file. Windows via winget (Linux/macOS in progress). Go, Apache 2.0.

This python tool helps managing DBMS benchmarking experiments in a Kubernetes-based HPC cluster environment. It enables users to configure hardware / software setups for easily repeating tests over varying configurations.

A Snakemake workflow for calling small and structural variants under any kind of scenario (tumor/normal, tumor/normal/relapse, germline, pedigree, populations) via the unified statistical model of Varlociraptor.

Verifiable knowledge graph for scientific experiments

An agentic bioinformatics analyst: it runs the analysis on your own compute, self-heals failures, verifies the output, and returns a reproducible result.

An agent that takes a dead research repo and turns it into a callable pipeline component.

AI-ready biological data I/O, validation, and tokenization engine

Crystallize is a lightweight Python framework for rigorous, reproducible data science experiments. Define modular pipelines, apply treatments as experimental variations, and verify hypotheses with statistical tests, all with built-in caching, immutability, and parallelism for trustworthy, efficient results.