# lizrice/ebpf-beginners

The beginner's guide to eBPF

Repository: https://github.com/lizrice/ebpf-beginners
Canonical: https://ross.abutalabs.com/products/ebpf-beginners
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2023-05-08T14:59:28+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2137, "days_push": 1213, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1730, forks 131 (observed 2026-08-28T04:05:28.585788+00:00)

## What it is
A beginner's guide to eBPF programming, collecting slides, talk recordings, and Python/C example code from Liz Rice's conference presentations. It serves as a curated starting point for learning how to write and load eBPF programs.

## Use cases
- learn eBPF programming from scratch
- find beginner eBPF code examples
- understand how eBPF programs are loaded into the kernel
- watch introductory eBPF conference talks
- get started writing eBPF tools in Python
- find resources for learning about eBPF networking

## When to choose
- you are new to eBPF and want a gentle, talk-driven introduction
- you want curated links to slides, videos, and sample code in one place
- you prefer learning by following along with live-coded examples

## When to avoid
- you need production-ready eBPF tooling or libraries
- you want comprehensive reference documentation rather than tutorials
- you need advanced eBPF topics beyond introductory material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, networking, security
- domain: developer-tools, tutorials, operating-systems, networking
- platform: python, cli
- tags: ebpf, tutorial, talks, code-samples, beginner-friendly, kernel-programming, linux

## Member repositories
- lizrice/ebpf-beginners (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:28.585788+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:31:45.314130+00:00, confidence not recorded.
  - readme: https://github.com/lizrice/ebpf-beginners (fetched 2026-08-28T04:05:28.585788+00:00, sha 71724b4dc399)
- Data as of 2026-08-30T08:39:29.467469+00:00.