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Covalent is a Pythonic workflow tool for computational scientists, AI/ML software engineers, and anyone who needs to run experiments on limited or expensive computing resources including quantum computers, HPC clusters, GPU arrays, and cloud services.

Covalent enables a researcher to run computation tasks on an advanced hardware platform – such as a quantum computer or serverless HPC cluster – using a single line of code.

Installation	Getting started
Covalent is developed using Python version 3.8 on Linux and macOS. The easiest way to install Covalent is using the PyPI package manager:	Ready to try it? Refer to the Quick Start guide for quick setup instructions, or to the First Experiment guide for a more thorough approach. For a full list of supported platforms, see the Covalent compatibility matrix. For a more in-depth description of Covalent's features and how they work, see the Concepts page in the documentation.

For a more in-depth description of Covalent's features and how they work, see the Concepts page in the documentation.

To contribute to Covalent, refer to the Contribution Guidelines. We use GitHub's issue tracking to manage known issues, bugs, and pull requests. Get started by forking the develop branch and submitting a pull request with your contributions. Improvements to the documentation, including tutorials and how-to guides, are also welcome from the community. For more more information on adding tutorials, check the Tutorial Guidelines Participation in the Covalent community is governed by the Code of Conduct.

Please use the following citation in any publications

https://doi.org/10.5281/zenodo.5903364

Covalent is licensed under the Apache 2.0 License. See the LICENSE file or contact the support team for more details.

For a detailed history of changes and new features, see the Changelog.