https://github.com/pycondor/pycondor
Build and submit workflows to HTCondor in Python
https://github.com/pycondor/pycondor
distributed-computing high-throughput-computing htcondor python workflow
Last synced: 4 months ago
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Build and submit workflows to HTCondor in Python
- Host: GitHub
- URL: https://github.com/pycondor/pycondor
- Owner: pycondor
- License: mit
- Created: 2017-01-24T03:48:30.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2023-08-30T18:51:55.000Z (over 2 years ago)
- Last Synced: 2025-10-21T20:57:03.019Z (4 months ago)
- Topics: distributed-computing, high-throughput-computing, htcondor, python, workflow
- Language: Python
- Homepage: https://pycondor.github.io/pycondor
- Size: 6.67 MB
- Stars: 25
- Watchers: 6
- Forks: 17
- Open Issues: 20
-
Metadata Files:
- Readme: README.md
- Contributing: docs/contributing.rst
- License: LICENSE
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README
# PyCondor
[](https://github.com/pycondor/pycondor/actions/workflows/test.yml)
[](https://codecov.io/gh/pycondor/pycondor)



PyCondor (Python HTCondor) is a tool to help build and submit workflows to HTCondor in a straight-forward manner with minimal hassle.
## Documentation
The documentation for PyCondor can be found at https://pycondor.github.io/pycondor.
## Installation
PyCondor can be installed using `pip`
```
pip install pycondor
```
or `conda`
```
conda install -c conda-forge pycondor
```
For more information see the [installation instructions](https://pycondor.github.io/pycondor/installation.html) in the [documentation](https://pycondor.github.io/pycondor).
## Contributing
To contribute to PyCondor, please see the [contributing guide](https://pycondor.github.io/pycondor/contributing.html) in the documentation.
## License
[MIT License](LICENSE)
Copyright (c) 2018 James Bourbeau