HPC Rocket - A tool to run Slurm jobs from CI pipelines

This page summarizes the projects mentioned and recommended in the original post on /r/Python

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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  1. hpc-rocket

    And finally, a link to the GitHub repo: https://github.com/SvenMarcus/hpc-rocket

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. ZnTrack

    Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.

    This looks really interesting! I have a similar scenario but haven't looked into it yet. Have you looked at dvc.org - I'm planning on using it together with slurm and what they call CML for my projects. On that context I also wrote a tool that makes DVC more pythonic https://github.com/zincware/ZnTrack altough I'm currently restructuring it a bit but having backwards compatibility in mind.

  4. dvc

    🦉 Data Versioning and ML Experiments

    This looks really interesting! I have a similar scenario but haven't looked into it yet. Have you looked at dvc.org - I'm planning on using it together with slurm and what they call CML for my projects. On that context I also wrote a tool that makes DVC more pythonic https://github.com/zincware/ZnTrack altough I'm currently restructuring it a bit but having backwards compatibility in mind.

  5. jacamar-ci

    If you get the chance take a look at Jacamar CI, it is a Gitlab custom executor for Slurm developed by the Exascale Computing Project. While this doesn't address your specific problem set, needs installation on a login node, maybe you can get some inspiration.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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