pyebpf | A bcc-based Python eBPF
kandi X-RAY | pyebpf Summary
kandi X-RAY | pyebpf Summary
pyebpf is a Python library. pyebpf has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pyebpf' or download it from GitHub, PyPI.
Extended-Berkeley-Packet-Filters are a superset of BPF filters (traditionally available for packet-filtering), that lets you write small kernel-routines, using a dedicated eBPF instruction set. To use eBPF, one needs to compile a routine, call the bpf(2) syscall, and attach a kernel-probe. bpf(2) will make sure to take your compiled routine, statically analyze and jit it, and then copy it to kernel space for later use. You attach a probe to a kernel trace event (such as a syscall invocation), and once your probe is attached, your eBPF routine will be invoked appropriately. Sharing data between eBPF routines, or between an eBPF routine and user-space, is possible via eBPF maps, which operate on top of a FD that lets one communicate between those two ends.
Extended-Berkeley-Packet-Filters are a superset of BPF filters (traditionally available for packet-filtering), that lets you write small kernel-routines, using a dedicated eBPF instruction set. To use eBPF, one needs to compile a routine, call the bpf(2) syscall, and attach a kernel-probe. bpf(2) will make sure to take your compiled routine, statically analyze and jit it, and then copy it to kernel space for later use. You attach a probe to a kernel trace event (such as a syscall invocation), and once your probe is attached, your eBPF routine will be invoked appropriately. Sharing data between eBPF routines, or between an eBPF routine and user-space, is possible via eBPF maps, which operate on top of a FD that lets one communicate between those two ends.
Support
Quality
Security
License
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Support
pyebpf has a low active ecosystem.
It has 28 star(s) with 5 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pyebpf is 1.0.4
Quality
pyebpf has 0 bugs and 0 code smells.
Security
pyebpf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pyebpf code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pyebpf is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
pyebpf releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 388 lines of code, 23 functions and 5 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pyebpf and discovered the below as its top functions. This is intended to give you an instant insight into pyebpf implemented functionality, and help decide if they suit your requirements.
- Read data from the buffer pool
- Assert that kwargs are of the expected type
Get all kandi verified functions for this library.
pyebpf Key Features
No Key Features are available at this moment for pyebpf.
pyebpf Examples and Code Snippets
No Code Snippets are available at this moment for pyebpf.
Community Discussions
No Community Discussions are available at this moment for pyebpf.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyebpf
You can install using 'pip install pyebpf' or download it from GitHub, PyPI.
You can use pyebpf 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 pyebpf 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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