Metadata-Version: 2.1
Name: datoma
Version: 1.0.4
Summary: Library to create, submit and handle Datoma's jobs and workflows from Python
License: MIT
Project-URL: Homepage, https://datoma.cloud
Project-URL: Documentation, https://datoma.readthedocs.io/en/latest/index.html#
Requires-Python: >=3.11
Requires-Dist: requests>=2.31.0
Requires-Dist: boto3>=1.29.0
Requires-Dist: requests-aws4auth>=1.2.3
Requires-Dist: gql>=3.4.1
Requires-Dist: awscrt>=0.19.13
Requires-Dist: botocore>=1.32.0
Requires-Dist: pyyaml>=6.0
Requires-Dist: websockets>=12.0
Requires-Dist: requests_toolbelt>=1.0.0
Requires-Dist: pycognito>=2023.5.0
Requires-Dist: pwinput>=1.0.3
Requires-Dist: jsonpickle>=3.0.2
Description-Content-Type: text/markdown

# Datoma
[Datoma](https://datoma.cloud/) is a cloud computing web service solution that offers experimental scientists a fast and easy way to analyze mass spectrometry-based metabolomics data for free, while giving code developers the opportunity to increase visibility and usability of their code.
This Python module enables users to use the platform programmatically: upload files, launch new jobs and create custom metabolomics workflows from existing tools. Check out the documentation [here](https://datoma.readthedocs.io/en/latest/index.html#).

# Install
The library package is listed on [PyPI](https://pypi.org/project/datoma/).\
You install it by using the following command:\

    pip install datoma

# Configure
This is the step where you can specify if you have developer access. If you don't, please refrain from using the `--dev` flag.

```bash
$ python3 -m datoma login [--email <email>] [--password <password>] [--dev]
