# Mosqlimate client
[](https://github.com/Mosqlimate-project/mosqlimate-client/actions?query=workflow%3Aci)
[](https://api.mosqlimate.org/docs/)
[](https://pypi.org/project/mosqlient)
[](https://gitter.im/mosqlimate-client/community)
[](https://github.com/psf/black)
client library for the Mosqlimate project data platform.
## Requirements
Mosqlimate client requires Python 3.10 or above.
## Installation
```bash
pip install mosqlient
```
## Using from R
Despite `mosqlient` being a Python library, it can be used from R using the `reticulate` package. Here is an example of how to use `mosqlient` from R:
In the examples folder, you can find an [R jupyter notebook](/examples/Using%20Mosqlient%20from%20R.ipynb) of how to use `mosqlient` from R.
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