# facebookarchive/libphenom

An eventing framework for building high performance and high scalability systems in C.

Repository: https://github.com/facebookarchive/libphenom
Canonical: https://ross.abutalabs.com/products/libphenom
Homepage: http://facebook.github.io/libphenom
Language: C
License: Apache-2.0
License Family: permissive
Archived: true
Last push: 2019-03-08T18:48:08+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5015, "days_push": 2735, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1663, forks 351 (observed 2026-08-28T04:05:18.806808+00:00)

## What it is
libPhenom is a C eventing framework from Facebook for building high-performance, scalable systems, offering job scheduling, buffered streaming I/O, data structures, and JSON serialization. It was deprecated and archived in March 2019, with Facebook recommending folly as a successor.

## Use cases
- build a high-performance network server in C
- schedule concurrent jobs across cores without contention
- serialize and deserialize JSON in a C application
- stream I/O with buffered sockets
- track memory usage with counters in a C program

## When to choose
- you must work in C on Linux/macOS and need an event-driven job framework
- you are maintaining an existing codebase already built on libPhenom

## When to avoid
- starting any new project, since it is archived and unmaintained
- you can use C++ and want an actively maintained alternative like folly
- you need Windows support

## Facets
- artifact type: library
- maturity: abandoned
- function: concurrency, serialization, logging, http-server
- domain: developer-tools, performance, microservices
- platform: cpp, c
- tags: event-driven, c-library, deprecated, facebook, job-scheduler, memory-management, high-performance, linux, macos

## Member repositories
- facebookarchive/libphenom (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:18.806808+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 2026-08-30T03:44:31.641389+00:00, confidence not recorded.
  - readme: https://github.com/facebookarchive/libphenom (fetched 2026-08-28T04:05:18.806808+00:00, sha 556d5a1b2e96)
- Data as of 2026-08-30T08:39:29.467469+00:00.