Skip to main content

Cloudknot: a python library designed to run your existing python code on AWS Batch

Project description

Build Status Coverage Status Code style: black License: MIT DOI

cloudknot

A knot is a collective noun for a group of snakes. Cloudknot is a python library designed to run your existing python code on AWS Batch.

Cloudknot takes as input a python function, Dockerizes it for use in an Amazon ECS instance, and creates all the necessary AWS Batch constituent resources to submit jobs. You can then use cloudknot to submit and view jobs for a range of inputs.

To get started using cloudknot, please see the cloudknot documentation

This is the cloudknot development site. You can view the source code, file new issues, and contribute to cloudknot's development. If you are just getting started, you should look at the cloudknot documentation.

Contributing

We love contributions! Cloudknot is open source, built on open source, and we'd love to have you hang out in our community.

We have developed some guidelines for contributing to cloudknot.

Imposter syndrome disclaimer: We want your help. No, really.

There may be a little voice inside your head that is telling you that you're not ready to be an open source contributor; that your skills aren't nearly good enough to contribute. What could you possibly offer a project like this one?

We assure you - the little voice in your head is wrong. If you can write code at all, you can contribute code to open source. Contributing to open source projects is a fantastic way to advance one's coding skills. Writing perfect code isn't the measure of a good developer (that would disqualify all of us!); it's trying to create something, making mistakes, and learning from those mistakes. That's how we all improve, and we are happy to help others learn.

Being an open source contributor doesn't just mean writing code, either. You can help out by writing documentation, tests, or even giving feedback about the project (and yes - that includes giving feedback about the contribution process). Some of these contributions may be the most valuable to the project as a whole, because you're coming to the project with fresh eyes, so you can see the errors and assumptions that seasoned contributors have glossed over.

Citing cloudknot

If you use cloudknot in a scientific publication, please see our citation instructions.

Credits

Cloudknot development is supported through a grant from the Gordon and Betty Moore Foundation and from the Alfred P. Sloan Foundation to the University of Washington eScience Institute, as well as NIH Collaborative Research in Computational Neuroscience grant R01EB027585-01 through the National Institute of Biomedical Imaging and Bioengineering to Eleftherios Garyfallidis (Indiana University) and Ariel Rokem (University of Washington).

This package was created with shablona.

The imposter syndrome disclaimer was originally written by Adrienne Lowe for a PyCon talk, and was adapted based on its use in the README file for the MetPy project.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cloudknot-0.6.1.tar.gz (270.1 kB view details)

Uploaded Source

Built Distribution

cloudknot-0.6.1-py3-none-any.whl (93.0 kB view details)

Uploaded Python 3

File details

Details for the file cloudknot-0.6.1.tar.gz.

File metadata

  • Download URL: cloudknot-0.6.1.tar.gz
  • Upload date:
  • Size: 270.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for cloudknot-0.6.1.tar.gz
Algorithm Hash digest
SHA256 c2503c99ab62bf44c462e09bb86408be9242c2bf82d19ddd5775c3849d2ad329
MD5 2493974ef183f389cbba054206744d59
BLAKE2b-256 d9348d925e99a33a55625c4b3eb9bd7b6569e9dae97caad1f934f3f1d1413d62

See more details on using hashes here.

File details

Details for the file cloudknot-0.6.1-py3-none-any.whl.

File metadata

  • Download URL: cloudknot-0.6.1-py3-none-any.whl
  • Upload date:
  • Size: 93.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for cloudknot-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 977f5236e1509c2aa3e6ebd852a826110168dc315eec9e7456790e848ea1074f
MD5 c3e5dcbca39e248e487bb4d6e61352c2
BLAKE2b-256 d3806625a138dc3b787de40cda29cc6663d470c5677fb9af74f6c143b5b425b4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page