<img class="r5py_logo" align="right" src="https://github.com/r5py/r5py/raw/main/docs/_static/images/r5py_blue.svg" alt="r5py logo" style="width:180px; max-width:30vW;">
# r5py: Rapid Realistic Routing with R5 in Python
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<br />
**R5py** is a Python library for rapid realistic routing on multimodal transport
networks (walk, bike, public transport and car). It provides a simple and
friendly interface to R<sup>5</sup>, the Rapid Realistic Routing on Real-world
and Reimagined networks, the [routing engine][r5-github] developed by Conveyal.
**r5py** is inspired by [r5r, a wrapper for R][r5r-vignette], and the library is
designed to interact with [GeoPandas][geopandas] GeoDataFrames.
**R5py** offers a simple way to run R5 locally with Python. It allows users to
calculate travel time matrices and accessibility by different travel modes. To
get started, see a detailed demonstration of the **r5py** ‘in action’ from the
[Usage][rtd-quickstart] section of its documentation. Over time, **r5py** will
be expanded to incorporate other functionalities from R5.
## Installation
**R5py** is available from conda-forge and PyPi. You can use `mamba`, `pip` or
`conda` to install it. To quickstart your use of **r5py**, we also provide an
[`environment.yml` file ][env-file], using which you can [quickly set up a
development environment][conda-create-env-from-yml] and are ready to go.
For more details and alternative installation options, read the dedicated
[installation section][rtd-installation] of the r5py documentation.
## Usage
You can find detailed installation instructions, example code, documentation and
API reference at [r5py.readthedocs.io][rtd-link].
## Acknowledgements
The [R<sup>5</sup> routing engine][r5-github] is developed at
[Conveyal][conveyal] with contributions from several people.
R5py draws a lot of inspiration from [r5r][r5r-github], an interface to R5 from
the R language that is developed at the Institute for Applied Economic Research
(Ipea), Brazil.
## Citation
If you use *r5py* for scientific research, please cite it in your publications:
Fink, C., Klumpenhouwer, W., Saraiva, M., Pereira, R., & Tenkanen, H., 2022:
*r5py: Rapid Realistic Routing with R5 in Python*.
[DOI:10.5281/zenodo.7060437][doi-link]
## License
This work is dual-licensed under GNU General Public License v3.0 or later and
MIT License. You can choose between the two depending on which license fits
your project better.
`SPDX-License-Identifier: GPL-3.0-or-later OR MIT`
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[binder-badge]: https://img.shields.io/badge/Try%20r5py%20with-binder-F5A252.svg?logo=data:image/png;base64,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[build-status-badge]: https://github.com/r5py/r5py/actions/workflows/build-merged-pull-requests.yml/badge.svg
[build-status-link]: https://github.com/r5py/r5py/actions/workflows/build-merged-pull-requests.yml
[coverage-badge]: https://codecov.io/gh/r5py/r5py/branch/main/graph/badge.svg?token=WG8RBMZBK6
[coverage-link]: https://codecov.io/gh/r5py/r5py
[doi-badge]: https://zenodo.org/badge/DOI/10.5281/zenodo.7060437.svg
[doi-link]: https://doi.org/10.5281/zenodo.7060437
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[downloads-conda-forge-link]: https://anaconda.org/conda-forge/r5py
[downloads-pypi-badge]: https://static.pepy.tech/personalized-badge/r5py?period=total&units=international_system&left_color=grey&right_color=orange&left_text=Downloads%20(pypi)
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[conveyal]: https://www.conveyal.com/
[env-file]: https://github.com/r5py/r5py/blob/main/ci/r5py_distro.yaml
[geopandas]: https://geopandas.org/
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