https://github.com/htcondor/htmap

High-Throughput Computing in Python, powered by HTCondor
https://github.com/htcondor/htmap

distributed-computing high-throughput-computing htcondor python

Last synced: 3 months ago
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High-Throughput Computing in Python, powered by HTCondor

• Host: GitHub
• URL: https://github.com/htcondor/htmap
• Owner: htcondor
• License: apache-2.0
• Created: 2018-07-17T23:54:30.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2024-01-08T20:20:38.000Z (over 2 years ago)
• Last Synced: 2025-09-28T05:23:47.425Z (8 months ago)
• Topics: distributed-computing, high-throughput-computing, htcondor, python
• Language: Python
• Homepage: https://htmap.readthedocs.io
• Size: 1000 KB
• Stars: 33
• Watchers: 14
• Forks: 10
• Open Issues: 30
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# HTMap

[![PyPI version](https://badge.fury.io/py/htmap.svg)](https://badge.fury.io/py/htmap)

[![Anaconda-Server Badge](https://anaconda.org/conda-forge/htmap/badges/version.svg)](https://anaconda.org/conda-forge/htmap)

[![Documentation Status](https://readthedocs.org/projects/htmap/badge/?version=latest)](https://htmap.readthedocs.io/en/latest/?badge=latest)

[![Build Status](https://travis-ci.com/htcondor/htmap.svg?branch=master)](https://travis-ci.com/htcondor/htmap)

![Tests](https://github.com/htcondor/htmap/workflows/Tests/badge.svg)

[![codecov](https://codecov.io/gh/htcondor/htmap/branch/master/graph/badge.svg)](https://codecov.io/gh/htcondor/htmap)

![GitHub issues](https://img.shields.io/github/issues/htcondor/htmap)

![GitHub pull requests](https://img.shields.io/github/issues-pr/htcondor/htmap)

**Jump right in to the tutorials with Binder!**

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/htcondor/htmap/master?urlpath=lab%2Ftree%2Ffirst-steps.ipynb)

HTMap is a library that wraps the process of mapping Python function calls out

to an HTCondor pool.

It provides tools for submitting, managing, and processing the output of

arbitrary functions.

Our goal is to provide as transparent an interface as possible to

high-throughput computing resources so that you can spend more time thinking

about your own code, and less about how to get it running on a cluster.

For tutorials, installation instructions, and more details, see the

[documentation](https://htmap.readthedocs.io/en/latest/).

Please post bug reports and feature requests to

[our issue tracker](https://github.com/htcondor/htmap/issues).