NumFOCUS promotes open source scientific software.

NumFOCUS supports and promotes world-class, innovative, open source scientific software. Most individual projects, even the wildly successful ones, find the overhead of a non-profit to be too large for their community to bear. NumFOCUS provides a critical service as an umbrella organization for these projects.

The following projects will be participating under the NumFOCUS umbrella:

  • conda-forge - A community led collection of recipes for the conda package manager.
  • Data Retriever - The Data Retriever is a package manager for data. It downloads, cleans, and stores publicly available data, so that analysts spend less time cleaning and managing data, and more time analyzing it.
  • FEniCS Project - The FEniCS Project is a collection of tools with extensive features for the automated and efficient solution of differential equations. Partial differential equations can be specified in near-mathematical notation (as finite element variational problems) and solved automatically.
  • Gensim - Gensim is an open-source Python library for topic modelling, document indexing and similarity retrieval with large corpora.
  • matplotlib - matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.
  • MDAnalysis - MDAnalysis is an object-oriented python toolkit to analyze molecular dynamics trajectories generated by CHARMM, Gromacs, Amber, NAMD, or LAMMPS.
  • nteract - nteract allows users to edit and share interactive notebook documents that contain explanatory text, executive code, and interactive visualizations.
  • PyMC3 - PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning which focuses on advanced Markov chain Monte Carlo and variational fitting algorithms.
  • Stan - Stan is a probabilistic programming language for data analysis, enabling automatic inference for a large class of statistical models.

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Technologies

  • python
  • javascript
  • r
  • c/c++

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NumFOCUS 2017 Projects

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2017