Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
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Updated
Apr 1, 2026 - Python
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale
R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.
R package: Simulate Expression data from igraph network using mvtnorm (CRAN; JOSS)
CRBHits - a reimplementation of the Conditional Reciprocal Best Hit algorithm in R.
Docker image to build paper PDFs
SotA Lens maps scholarly corpora into citation networks for exploratory state-of-the-art and scoping reviews.
build and validate a paper.md, and generate a pdf preview for a JOSS submission
Open Research Experiments
Streamline building MyST articles in docker containers.
Reproducible, uncertainty-aware geospatial suitability pipeline for agriculture — Ordinary Kriging + LOOCV variogram selection, Monte-Carlo score CIs, Sobol/Morris sensitivity, spatial block CV, deterministic run fingerprints
snapmyenv is a tool designed to enhance computational reproducibility for data scientists and educators. Unlike traditional package managers, it embeds the full environment definition directly into the .ipynb file, ensuring your code travels with its context. It features specific support for Google Colab and requires zero external dependencies.
Manual operativo del laboratorio: cómo desarrollar y publicar software de investigación en la era de la IA generativa.
A Python package for two-dimensional plane-wave fitting of internal gravity waves (JOSS paper pending)
JOSS language interpreter in Typescript
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