Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
3 of 17 committers (17.6%) from academic institutions -
✓Institutional organization owner
Organization nrdg has institutional domain (neuroinformatics.uw.edu) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.7%) to scientific vocabulary
Keywords from Contributors
Repository
A python library to run your existing code on AWS Batch
Basic Info
- Host: GitHub
- Owner: nrdg
- License: other
- Language: Python
- Default Branch: master
- Homepage: https://nrdg.github.io/cloudknot/
- Size: 3.87 MB
Statistics
- Stars: 71
- Watchers: 5
- Forks: 17
- Open Issues: 33
- Releases: 14
Metadata Files
README.md
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.
Owner
- Name: NRDG
- Login: nrdg
- Kind: organization
- Location: The University of Washington, Seattle
- Website: http://neuroinformatics.uw.edu/
- Repositories: 13
- Profile: https://github.com/nrdg
Neuroinformatics Research and Development Group
GitHub Events
Total
Last Year
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 845
- Total Committers: 17
- Avg Commits per committer: 49.706
- Development Distribution Score (DDS): 0.293
Top Committers
| Name | Commits | |
|---|---|---|
| Adam Richie-Halford | r****d@u****u | 597 |
| arokem | a****m@g****m | 115 |
| Adam Richie-Halford | r****d@g****m | 75 |
| pyup-bot | g****t@p****o | 16 |
| Adam Richie-Halford | r****d@u****m | 6 |
| Jake VanderPlas | j****p@u****u | 5 |
| John K | j****3@a****t | 4 |
| Jake VanderPlas | j****p@g****m | 4 |
| Christopher Holdgraf | c****f@g****m | 4 |
| Yaroslav Halchenko | d****n@o****m | 4 |
| Andreas Mayer | a****m@g****m | 4 |
| Ben Cipollini | b****i@u****u | 4 |
| Greg Wilson | g****n@t****m | 3 |
| Mark Mandel | m****1@u****m | 1 |
| Andrew Nelson | a****f@g****m | 1 |
| Asier Erramuzpe | a****e@g****m | 1 |
| Matteo Visconti di Oleggio Castello | m****c@u****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 60
- Total pull requests: 50
- Average time to close issues: 10 months
- Average time to close pull requests: 19 days
- Total issue authors: 8
- Total pull request authors: 5
- Average comments per issue: 1.25
- Average comments per pull request: 2.42
- Merged pull requests: 43
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- richford (36)
- arokem (11)
- 36000 (4)
- bloomdt-uw (3)
- akeshavan (2)
- maouw (2)
- ccurtis7 (1)
- DrJohnDale (1)
Pull Request Authors
- richford (32)
- arokem (12)
- maouw (6)
- pyup-bot (3)
- dependabot[bot] (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 143 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 17
- Total maintainers: 2
pypi.org: cloudknot
Cloudknot: a python library designed to run your existing python code on AWS Batch
- Homepage: https://nrdg.github.io/cloudknot
- Documentation: https://cloudknot.readthedocs.io/
- License: MIT
-
Latest release: 0.6.1
published about 2 years ago
Rankings
Dependencies
- boto3 *
- cloudpickle *
- dask *
- docker *
- pytest *
- six *
- boto3 ==1.4.7
- cloudpickle ==0.4.1
- dask ==0.15.3
- docker ==2.5.1
- pytest ==3.2.2
- six ==1.11.0