clip | Simpler Command Line Interfaces to Pipelines
kandi X-RAY | clip Summary
kandi X-RAY | clip Summary
clip is a Python library. clip has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Simpler Command Line Interfaces to Pipelines
Simpler Command Line Interfaces to Pipelines
Support
Quality
Security
License
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Support
clip has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
clip has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of clip is current.
Quality
clip has no bugs reported.
Security
clip has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
clip is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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clip 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 clip
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of clip
clip Key Features
No Key Features are available at this moment for clip.
clip Examples and Code Snippets
No Code Snippets are available at this moment for clip.
Community Discussions
No Community Discussions are available at this moment for clip.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install clip
You can download it from GitHub.
You can use clip 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 clip 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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