NetBench CI
Reproducible XDP/eBPF performance regression testing for Linux.
NetBench CI is an early-stage open-source project designed to make Linux networking benchmarks repeatable and help detect performance regressions in XDP/eBPF workloads.
Current Status
NetBench CI is under active development.
The initial release provides a basic environment diagnostic command. Benchmark execution, baseline comparison, and CI integration are planned features and are not yet implemented.
Requirements
- Python 3.11 or newer
- Linux recommended for XDP/eBPF development
- Clang, iproute2, and bpftool for future benchmarking functionality
Installation
python -m pip install netbench-ci
Usage
Display the installed version:
netbench --version
Check your environment:
netbench doctor
Planned Features
- XDP/eBPF benchmark orchestration
- Repeatable performance measurements
- Baseline comparison and regression detection
- JSON benchmark reports
- CI pipeline integration
- Linux kernel and environment metadata
Development
Clone the repository and install the package in editable mode:
git clone https://github.com/Ali-Raza-Arain/netbench-ci
cd netbench-ci
python -m pip install -e .
License
Apache-2.0 License
1 maintainer
Metadata
1 maintainer
Release files for netbench-ci 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| netbench_ci-0.1.0.tar.gz | 1.5 kB | Without provenance | Details for netbench_ci-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| netbench_ci-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for netbench_ci-0.1.0-py3-none-any.whl |
Total release size: 4.0 kB
Release files / netbench_ci-0.1.0.tar.gz
| Download URL | netbench_ci-0.1.0.tar.gz |
|---|---|
| Size | 1.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/7.0.0 CPython/3.12.3
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Release files / netbench_ci-0.1.0-py3-none-any.whl
| Download URL | netbench_ci-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
|
Security for netbench-ci 0.1.0
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