Stars
A safer complement of R, the legendary programming language for statistic and datasciences !
RMM is an R package designed to handle common ohdsi results data management functions by providing a common API for data model migrations and definitions
An R package containing Shiny modules used by various OHDSI Shiny apps
Health Analytics Data-to-Evidence Suite (HADES): A collection of R packages for performing analytics against the Common Data Model.
A utility framework for the management of genome-scale metabolic models.
An R package for performing self-controlled cohort analyses, a method to estimate risk by comparing time exposed with time unexposed among the exposed cohort.
An R package for connecting to the Common Evidence Model (CEM)
An R package for interfacing with a WebAPI instance
An R package for performing various cohort diagnostics.
ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data
OHDSI WebAPI contains all OHDSI services that can be called from OHDSI applications
Repository of OHDSI Collaborative Research Protocols
Detect the songs playing on your device and play their music videos anywhere
Grid studio is a web-based application for data science with full integration of open source data science frameworks and languages.
Learn to create a desktop app with Python and Qt
The quickest and easiest way to build large web apps and APIs with Flask
memote – the genome-scale metabolic model test suite
Version 2 of the Density Estimation Tool for Enzyme ClassificaTion: scripts for enzyme annotation and pipeline for making the DETECT database
An example for RESTful authentication using nginx, uWSGI, Flask, MongoDB and JSON Web Token(JWT).
NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!
A python package for animating plots build on matplotlib.
Autocomplete from open files for VSCode
EMBL GEMs: A collection of GEnome-scale Models for bacterial species
COBRApy is a package for constraint-based modeling of metabolic networks.