mahmoud / mahmoud/awesome-python-applications
Add project: Gita
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 18k
- Forks
- 2.7k
- PR merge metrics
- No merged PRs in 30d
Description
## Basic info
**Application name**: Gita
**Application repo link**: https://github.com/nosarthur/gita
**Application home link**: https://github.com/nosarthur/gita
**Application description**: Gita is a command-line tool to manage multiple git repos. It can display multiple repos' edit status as well as relationship with remote; It also delegate git command in batch from any working directory.
## Qualifications
There are a ton of great Python projects out there, but what makes an
application "Awesome™"? Please check that all of the following criteria apply:
- [x] Free software with an online source repository.
- [x] Using Python for a considerable part of their functionality.
- [x] Well-known, or at least prominently used in an identifiable niche.
- [x] Maintained or otherwise demonstrably still functional on relevant platforms.
- [x] An application, not a library or framework.
Note that installability via pip/PyPI and a developer-audience focus
may warrant a higher standard for inclusion, in keeping with the
spirit of the list:
http://sedimental.org/awesome_python_applications.html
## Additional notability info
- available on Pypi: https://pypi.org/project/gita/
- 700+ stars on GitHub
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Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing projects.yaml, including its comments and existing examples, to find the appropriate place and format for Gita. Add the project entry using the supplied repository, PyPI, description, and qualification details; it is done when the entry is included consistently with the surrounding list.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 55/100