Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Create powerful Hydra applications without the yaml files and boilerplate code.

A curated list of reproducible research case studies, projects, tutorials, and media

ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.

High performance spatial analysis in a web browser and across programming languages and hardware architectures

SEER, reimplemented in python 🐍🔮

Everware is about re-useable science, it allows people to jump right in to your research code.

VisTrails is an open-source data analysis and visualization tool. It provides a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the computational processes that derive these produ…

Scipion is an image processing framework to obtain 3D models of macromolecular complexes using Electron Microscopy (3DEM)

Source code for the CERN Analysis Preservation portal

unit-testing for a collection of jupyter notebooks using nbconvert

ukbREST: efficient and streamlined data access for reproducible research of large biobanks

👜 Easily pick a place to store data for your Python code.

Open Source Photometric classification https://supernnova.readthedocs.io

Unleash the true power of scheduling

A framework and toolkit for analytical/research projects, with an emphasis on reproducibility.

Seamless is a framework to set up reproducible computations (and visualizations) that respond to changes in cells. Cells contain the input data as well as the source code of the computations, and all cells can be edited interactively.

Unmap data from a pseudocolor image, with or without knowing the colormap.

Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your personal computer!

Code for Probabilistic Sequential Matrix Factorization