python-ftrace | python library to read ftrace data

by manfred-kaiser Python Version: v0.0.1 License: LGPL-3.0

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kandi X-RAY | python-ftrace Summary

python-ftrace is a Python library. python-ftrace 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 install using 'pip install python-ftrace' or download it from GitHub, PyPI.

ftrace is a python library to read ftrace data from the Linux Kernel.

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Support

python-ftrace has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

python-ftrace has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of python-ftrace is v0.0.1

Quality

python-ftrace has no bugs reported.

Security

python-ftrace has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

python-ftrace 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.

Reuse

python-ftrace releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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python-ftrace Key Features

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python-ftrace Examples and Code Snippets

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Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install python-ftrace

You can install using 'pip install python-ftrace' or download it from GitHub, PyPI.
You can use python-ftrace 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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