dunamai | Dynamic versioning library and CLI
kandi X-RAY | dunamai Summary
kandi X-RAY | dunamai Summary
dunamai is a Python library. dunamai has no vulnerabilities, it has a Permissive License and it has low support. However dunamai has 2 bugs and it build file is not available. You can install using 'pip install dunamai' or download it from GitHub, PyPI.
Dunamai is a Python 3.5+ library and command line tool for producing dynamic, standards-compliant version strings, derived from tags in your version control system. This facilitates uniquely identifying nightly or per-commit builds in continuous integration and releasing new versions of your software simply by creating a tag. Dunamai is also available as a GitHub Action.
Dunamai is a Python 3.5+ library and command line tool for producing dynamic, standards-compliant version strings, derived from tags in your version control system. This facilitates uniquely identifying nightly or per-commit builds in continuous integration and releasing new versions of your software simply by creating a tag. Dunamai is also available as a GitHub Action.
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Quality
Security
License
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Support
dunamai has a low active ecosystem.
It has 240 star(s) with 24 fork(s). There are 3 watchers for this library.
There were 5 major release(s) in the last 12 months.
There are 0 open issues and 41 have been closed. On average issues are closed in 15 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of dunamai is 1.21.1
Quality
dunamai has 2 bugs (0 blocker, 0 critical, 2 major, 0 minor) and 27 code smells.
Security
dunamai has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
dunamai code analysis shows 0 unresolved vulnerabilities.
There are 4 security hotspots that need review.
License
dunamai is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
dunamai releases are available to install and integrate.
Deployable package is available in PyPI.
dunamai has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
dunamai saves you 664 person hours of effort in developing the same functionality from scratch.
It has 2444 lines of code, 109 functions and 7 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed dunamai and discovered the below as its top functions. This is intended to give you an instant insight into dunamai implemented functionality, and help decide if they suit your requirements.
- Match a pattern .
- Get the version from the given name .
- Serialize a PEP 440 file .
- Detect the expected VCS .
- Return a mapping from git tags to their tags .
- Parse command line arguments .
- Serialize semver .
- Build argument parser .
- Run a shell command .
- Bump version .
Get all kandi verified functions for this library.
dunamai Key Features
No Key Features are available at this moment for dunamai.
dunamai Examples and Code Snippets
No Code Snippets are available at this moment for dunamai.
Community Discussions
No Community Discussions are available at this moment for dunamai.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dunamai
You can install using 'pip install dunamai' or download it from GitHub, PyPI.
You can use dunamai like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use dunamai like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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