papy
The papy package provides an implementation of the flow-based programming paradigm in Python
Science Score: 23.0%
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
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○DOI references
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○Academic publication links
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✓Committers with academic emails
2 of 3 committers (66.7%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.9%) to scientific vocabulary
Repository
The papy package provides an implementation of the flow-based programming paradigm in Python
Basic Info
- Host: GitHub
- Owner: mcieslik-mctp
- License: mit
- Language: Python
- Default Branch: master
- Homepage: http://mcieslik-mctp.github.io/papy/
- Size: 528 KB
Statistics
- Stars: 34
- Watchers: 4
- Forks: 7
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
PaPy - Parallel Pipelines in Python
The papy package provides an implementation of the flow-based
programming paradigm in Python that enables the construction and
deployment of distributed workflows.
The NuMap package is a parallel (thread- or process-based, local or
remote), buffered, multi-task, itertools.imap or
multiprocessing.Pool.imap function replacment. Like imap it
evaluates a function on elements of a sequence or iterable, and it does
so lazily. Laziness can be adjusted via the \"stride\" and \"buffer\"
arguments. Unlike imap, NuMap supports multiple pairs of
function and iterable tasks. The tasks are not queued rather
they are interwoven and share a pool or worker \"processes\" or
\"threads\" and a memory \"buffer\".
Documentation can be found here
The package is tested on Python 2.7.6
Owner
- Login: mcieslik-mctp
- Kind: user
- Repositories: 17
- Profile: https://github.com/mcieslik-mctp
GitHub Events
Total
- Watch event: 5
- Push event: 4
Last Year
- Watch event: 5
- Push event: 4
Committers
Last synced: 12 months ago
Top Committers
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 1
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: 4 minutes
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 1.0
- Average comments per pull request: 1.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
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
- letmaik (1)
Pull Request Authors
- dimlev (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 21 last-month
- Total dependent packages: 0
- Total dependent repositories: 3
- Total versions: 10
- Total maintainers: 1
pypi.org: papy
flow-based, parallel and distributed computational pipelines, includes a lazy, parallel, remote, multi-task map function
- Homepage: http://mcieslik-mctp.github.io/papy/
- Documentation: https://papy.readthedocs.io/
- License: BSD
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Latest release: 1.0.8
published over 11 years ago