Oss projects by domain: Difference between revisions

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* '''Mathematics'''
 
* '''Mathematics'''
 
** Recommended
 
** Recommended
*** [http://www.sagemath.org/ Sage Math]
+
*** [http://www.sagemath.org/ Sage Math] - a popular software system combining many projects into a common Python-based interface
  +
*** [http://www.gap-system.org/ GAP] - a system for computational discrete algebra
  +
*** [http://cocoa.dima.unige.it/ CoCoA] - a system for computations in commutative algebra
 
** Other
 
** Other
 
** Testimonials
 
** Testimonials
 
** Resources
 
** Resources
 
*** [http://en.wikipedia.org/wiki/Category:Free_mathematics_software Wikipedia article]
 
*** [http://en.wikipedia.org/wiki/Category:Free_mathematics_software Wikipedia article]
  +
*** [http://en.wikipedia.org/wiki/List_of_open-source_software_for_mathematics Another Wiki article]
  +
*** [http://mathoverflow.net/questions/19046/open-source-mathematical-software a list from MathOverflow]
   
 
* '''Neuroscience'''
 
* '''Neuroscience'''

Revision as of 21:21, 12 September 2013

This page contains information on open source projects in different scientific/technology disciplines.

Instructions

Please add information and testimonials wherever you see fit. If a discipline is missing, please add it.

Please format disciplines in the following way:

  • Name of Discipline
    • Recommended
      • OSS that is commonly used within the discipline, that an undergraduate reasonably might know about.
      • There can be multiple projects!
      • Make sure to include a URL to project website, and if possible a brief description of the software.
    • Other
      • This are projects that are less well known or highly specific, but still active and interesting.
      • There can be multiple projects!
    • Testimonials
      • A testimonial should be a brief statement of how using/contributing to an OSS project in your discipline improved your work/career!
      • Feel free to include your name & bibliographical info/url, if you want, or leave it anonymous
    • Resources
      • Links to places to find more info.

For additional projects, you can look through the Wikipedia page on free science software.


Common Departments

  • Biology
    • Recommended
    • Other
    • Testimonials
    • Resources
  • Biochemistry
    • Recommended
      • BioPython - a set of tools for biological computation written in Python
      • BioPerl
      • OpenBabel - allows anyone to search, convert, analyze, or store data from molecular modeling, chemistry, solid-state materials, biochemistry, or related areas
      • ImageJ
    • Other
    • Testimonials
    • Resources
  • Chemistry
    • Recommended
      • OpenBabel - allows anyone to search, convert, analyze, or store data from molecular modeling, chemistry, solid-state materials, biochemistry, or related areas
    • Other
    • Testimonials
    • Resources:
  • Economics
    • Recommended
    • Other
    • Testimonials
    • Resources:
  • Political science
    • Recommended
    • Other
    • Testimonials
    • Resources

Less Common Departments

  • Aeronautics and astronautics
    • Recommended
      • SunPy, a solar physics library actively maintained by NASA GSFC.
    • Other
    • Testimonials
    • Resources:
  • Atmospheric sciences
    • Recommended
      • CMAQ - EPA's development project: a suite of programs for conducting air quality model simulations
      • GEMPAK - soon to be replaced with AWIPS II - a weather forecasting, display and analysis package, lead developer: National Weather Service
    • Other
      • OpenMadrigal - a database for accessing/archiving geospace data (does geospace == atmospheric science?)
    • Testimonials
    • Resources
  • Biomedical Engineering
    • Recommended
      • BioSig - an open source software library for biomedical signal processing of biosignals such as EEG, ECoG, ECG, EOG and EMG
      • OpenSim - tool for modeling and simulation of movement
    • Other
    • Testimonials
    • Resources
  • Materials science
    • Recommended
      • ESPRESSO - a software package for performing and analyzing simulations of “coarse-grained” models as used in soft-matter research
  • Nuclear Engineering
    • Recommended
    • Other
    • Testimonials
    • Resources