Description
Submitting Author: Eliot Robson (@eliotwrobson)
All current maintainers: (@eliotwrobson, @caleb531)
Package Name: automata
One-Line Description of Package: A Python library for simulating finite automata, pushdown automata, and Turing machines.
Repository Link: https://github.com/caleb531/automata
Version submitted: v8.2.0
EiC: @isabelizimm
Editor: @sneakers-the-rat
Reviewers: @phildong , @irisdyoung, @NimaSarajpoor
Reviews Expected By: March 28th, 2024
Archive:
Version accepted: 8.4.0 (repo, pypi, archive)
Date accepted (month/day/year): 06/29/2024
Code of Conduct & Commitment to Maintain Package
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Description
- Include a brief paragraph describing what your package does:
Automata is a Python 3 library implementing structures and algorithms for manipulating finite automata, pushdown automata, and Turing machines. The algorithms have been optimized and are capable of processing large inputs. Visualization logic has also been implemented.
Scope
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Please indicate which category or categories.
Check out our package scope page to learn more about our
scope. (If you are unsure of which category you fit, we suggest you make a pre-submission inquiry):- Data retrieval
- Data extraction
- Data processing/munging
- Data deposition
- Data validation and testing
- Data visualization1
- Workflow automation
- Citation management and bibliometrics
- Scientific software wrappers
- Database interoperability
Domain Specific & Community Partnerships
- [ ] Geospatial
- [x] Education
- [ ] Pangeo
Community Partnerships
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- Pangeo
- My package adheres to the Pangeo standards listed in the pyOpenSci peer review guidebook
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For all submissions, explain how the and why the package falls under the categories you indicated above. In your explanation, please address the following points (briefly, 1-2 sentences for each):
- Who is the target audience and what are scientific applications of this package?
This package is suitable for both researchers wishing to manipulate automata and for instructors teaching courses on theoretical computer science. Automata (especially finite automata) are important models in computing that appear in a variety of educational and research contexts, and the ability to manipulate them with this package is valuable to this effort.
- Are there other Python packages that accomplish the same thing? If so, how does yours differ?
There are some smaller packages with similar scope (for example here), but automata is the most popular, best maintained, and most feature-rich.
- If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or
@tag
the editor you contacted:
- Any other questions or issues we should be aware of:
Although I am not the primary repository owner (that is @caleb531), he has given me permission to make this submission and be a long-term point of contact as-needed. Additionally, our documentation page is brand-new, so we anticipate some rough edges, and hope that feedback from this review can be used to improve the usability and add examples. Automata also already appeared in JOSS, so that is why those items have been left blank here even though the writeup is present in the repository.
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- has continuous integration setup, such as GitHub Actions CircleCI, and/or others.
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JOSS Checks
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paper.md
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. - The package is deposited in a long-term repository with the DOI:
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Footnotes
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Please fill out a pre-submission inquiry before submitting a data visualization package. ↩
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