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)
A numerical inversion of Laplace transforms library implemented in C++ library with Python bindings.
Manuscript-as-software: the manubot pattern, ergonomically, on Quarto. Design phase.
Reproducible, uncertainty-aware geospatial suitability pipeline for agriculture + optional GeoAI engine (terraflow geoai {fields,landcover,canopy}) — Ordinary Kriging + LOOCV variogram, Monte-Carlo CIs, Sobol/Morris sensitivity, spatial block CV, deterministic run fingerprints
Open-source citation-network toolkit and browser explorer for exploratory state-of-the-art reviews.
CRBHits - a reimplementation of the Conditional Reciprocal Best Hit algorithm in R.
Docker image to build paper PDFs
build and validate a paper.md, and generate a pdf preview for a JOSS submission
Streamline building MyST articles in docker containers.
Manual operativo del laboratorio: cómo desarrollar y publicar software de investigación en la era de la IA generativa.
Open Research Experiments
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.
A Python package for two-dimensional plane-wave fitting of internal gravity waves (JOSS paper pending)
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