An open, curated collection of Agent Skills for scientific research — clone it, use it, extend it!
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Updated
Mar 12, 2026
An open, curated collection of Agent Skills for scientific research — clone it, use it, extend it!
Cloud-native, service based access to HDF data
A GPU accelerated error-bounded lossy compression for scientific data.
One downloader for many scientific data and code repositories! DOI 👐 Data
Makhber is a free application for Visualization and Analysis of Scientific Data
A Python framework for structuring, processing, packaging and distributing FAIR scientific image datasets
JData: a language-independent data annotation for portable storage and interchange
Python interface to ICAT and IDS
Blaz: a library for frugal matrix computations. Blaz provides compression/uncompression functions for matrices of floating-point numbers and makes it possible to perform basic linear algebra on the compressed matrices, without uncompressing them.
Real-time VSCode extension and standalone Python script for validating mmCIF/CIF files against the PDBx/mmCIF dictionary or any CIF dictionary.
Pure Go library for reading and writing MATLAB .mat files (v5-v7.3+). No CGo, no external dependencies. Full support for numeric types, complex numbers, and multi-dimensional arrays. Cross-platform (Windows/Linux/macOS). Part of SciGoLib ecosystem.
The Analytical Information Markup Language (AnIML) Ontology
A RAG-based framework for constructing scientific knowledge graphs.
Main Pacifica repository contains submodules to all Pacifica core software components
This application is designed to create mmcif files from facilities data.
USA Code.Gov MultiSync API Client for Nim. Get data & code from NASA, LIGO, Fermilab & more on seconds!
VisIt LFS repo for sharing large files
Portable Accelerator Implementation of SZ Lossy Compressor for Scientific Data Using Kokkos
Genesis Preflight is a zero-dependency Rust command-line tool that ensures your scientific datasets are AI-ready for the Genesis Mission by validating them against the full FAIR principles (Findable, Accessible, Interoperable, Reusable) and automatically generating all required documentation.
Modular data engineering pipeline to preprocess large-scale academic data and generate citation and collaboration graphs, enabling network analysis (centrality, PageRank, communities) through reproducible CLI workflows.
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