Metadata-Version: 2.1
Name: nnmt
Version: 1.1.0
Summary: Neuronal Network Meanfield Toolbox
Home-page: https://github.com/INM-6/nnmt
Author: see docs/source/authors_and_contributors.rst
Author-email: m.layer@fz-juelich.de
License: GNU GPLv3
Platform: UNKNOWN
Requires-Python: >=3
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: setuptools (>=23.1.0)
Requires-Dist: numpy (>=1.8)
Requires-Dist: scipy (>=0.14)
Requires-Dist: Cython (>=0.20)
Requires-Dist: h5py (>=2.5)
Requires-Dist: matplotlib (>=2.0)
Requires-Dist: pint
Requires-Dist: pyyaml
Requires-Dist: requests
Requires-Dist: mpmath
Requires-Dist: decorator
Requires-Dist: pytest (>=5.4)
Requires-Dist: pytest-mock (>=3.1)

# NNMT - Neuronal Network Meanfield Toolbox

NNMT is an open-source, community centered Python package for collecting
reusable implementations of analytical methods for neuronal network model
analysis based on mean-field theory.

#### Documentation

Please visit our [official documentation](<https://nnmt.readthedocs.io/en/latest/index.html>).

In order to compile the documentation on your own, you have to change your
working directory to `nnmt/` and install and activate the provided conda
environment
```
  conda env create -f environment.yaml
  conda activate nnmt
```
Change you working directory to ``nnmt/docs/`` and run the following commands
```
  make clean
  make html
```
This will compile the documentation and create the folder `build/`.
Now you can access the documentation using your preferred browser by opening
the file `build/html/index.html`.

#### Citation

If you use NNMT for your project, please don't forget to
[cite NNMT](docs/source/citing.rst).

#### License

GNU General Public License v3.0, see [LICENSE](docs/source/license.rst) for
details.

#### Acknowledgments

See [acknowledgments](docs/source/acknowledgments.rst).


