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# Community-driven subject-area research libraries
We do not need to be exhaustive here!
The numbers of contributors just gives an indication (found on Github).
## Astronomy (see for example [LIGO](https://losc.ligo.org))
- [astropy](http://www.astropy.org/) (astronomy, 235 contributors)
- [sunpy](https://github.com/sunpy/sunpy) (solar physics, 87 contributors)
## Biology
- [biopython](https://github.com/biopython/biopython) (molecular biology, 189
contributors on Github)
## Neuroscience
- [MNE](http://martinos.org/mne) and
[mne-python](https://github.com/mne-tools/mne-python) (129 contributors)
- [Nipy](https://github.com/nipy/nipy) (neuroimaging, 30 contributors)
## Seismology
- [obspy](https://github.com/obspy/obspy/wiki) (69 contributors)
## Atmospheric and oceanic sciences
- [cartopy](https://github.com/SciTools/cartopy) (45 contributors)
- [iris](https://github.com/SciTools/iris) (49 contributors)
See also
[this](https://drclimate.wordpress.com/2016/10/04/the-weatherclimate-python-stack/)
and [this](https://sites.google.com/site/pythonforclimatescience/).