python-build-standalone | Produce redistributable builds of Python
kandi X-RAY | python-build-standalone Summary
kandi X-RAY | python-build-standalone Summary
python-build-standalone is a Python library. python-build-standalone has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.
Produce redistributable builds of Python
Produce redistributable builds of Python
Support
Quality
Security
License
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Support
python-build-standalone has a medium active ecosystem.
It has 964 star(s) with 75 fork(s). There are 15 watchers for this library.
It had no major release in the last 12 months.
There are 41 open issues and 97 have been closed. On average issues are closed in 25 days. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of python-build-standalone is 20230507
Quality
python-build-standalone has 0 bugs and 0 code smells.
Security
python-build-standalone has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
python-build-standalone code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
python-build-standalone is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
python-build-standalone releases are available to install and integrate.
Build file is available. You can build the component from source.
python-build-standalone saves you 1867 person hours of effort in developing the same functionality from scratch.
It has 4119 lines of code, 111 functions and 17 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed python-build-standalone and discovered the below as its top functions. This is intended to give you an instant insight into python-build-standalone implemented functionality, and help decide if they suit your requirements.
- Build a CPython entry point
- Read yaml file
- Add common build options
- Add common environment variables
- Write the build files to a directory
- Return the clang toolchain
- Write data to file
- Get an image from a docker image
- Build docker image
- Run a simple build
- Get the contents of a yaml file
- Write target settings to dest_path
- Get an output archive
- Bootstrap the project
- Materialize clang
- Install an artifact archive
- Get the release tag from git
- Build OpenSSL
- Build libedit
- Build libffi
- Install the toolchain
- Build Tix
- Find the path to the Visual Studio version
- Build readline
- Build a docker image
- Compress a Python archive
- Build binutils
- Build musl
Get all kandi verified functions for this library.
python-build-standalone Key Features
No Key Features are available at this moment for python-build-standalone.
python-build-standalone Examples and Code Snippets
No Code Snippets are available at this moment for python-build-standalone.
Community Discussions
No Community Discussions are available at this moment for python-build-standalone.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-build-standalone
You can download it from GitHub.
You can use python-build-standalone 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 python-build-standalone 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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