njc | netperf-wrapper JSON to CSV converter
kandi X-RAY | njc Summary
kandi X-RAY | njc Summary
njc is a Python library. njc has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However njc build file is not available. You can download it from GitHub.
netperf-wrapper JSON to CSV converter
netperf-wrapper JSON to CSV converter
Support
Quality
Security
License
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Support
njc 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.
njc has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of njc is current.
Quality
njc has no bugs reported.
Security
njc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
njc is licensed under the GPL-2.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
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njc releases are not available. You will need to build from source code and install.
njc 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.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of njc
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of njc
njc Key Features
No Key Features are available at this moment for njc.
njc Examples and Code Snippets
No Code Snippets are available at this moment for njc.
Community Discussions
No Community Discussions are available at this moment for njc.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install njc
You can download it from GitHub.
You can use njc 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 njc 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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