c_import | Create C bindings for python
kandi X-RAY | c_import Summary
kandi X-RAY | c_import Summary
c_import is a Python library. c_import has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.
Create C bindings for python automatically with the help of libclang
Create C bindings for python automatically with the help of libclang
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Support
c_import has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
c_import has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of c_import is current.
Quality
c_import has no bugs reported.
Security
c_import has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
c_import is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
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c_import releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of c_import
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of c_import
c_import Key Features
No Key Features are available at this moment for c_import.
c_import Examples and Code Snippets
No Code Snippets are available at this moment for c_import.
Community Discussions
No Community Discussions are available at this moment for c_import.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install c_import
You can download it from GitHub.
You can use c_import 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 c_import 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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