# LaiFengiOS/LFLiveKit

LaiFeng IOS Live Kit,H264 and AAC Hard coding，support GPUImage Beauty， rtmp transmission，weak network lost frame，Dynamic switching rate

Repository: https://github.com/LaiFengiOS/LFLiveKit
Canonical: https://ross.abutalabs.com/products/lflivekit
Language: Objective-C
License: MIT
License Family: permissive
Last push: 2023-04-07T03:07:30+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3739, "days_push": 1244, "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 4392, forks 1096 (observed 2026-08-28T04:08:48.118829+00:00)

## What it is
LFLiveKit is an open-source RTMP live streaming SDK for iOS written in Objective-C. It provides H264/AAC hardware encoding, GPUImage beauty filters, adaptive bitrate, and weak-network frame dropping for building live broadcast apps.

## Use cases
- stream live video from an iOS app to an RTMP server
- add beauty face filters to a live broadcast
- build a periscope-style live streaming app on iOS
- record and stream in the background with adaptive bitrate
- stream screen capture or external audio/video input over RTMP

## When to choose
- you need RTMP push streaming from an iOS device
- you want hardware H264/AAC encoding with beauty filters out of the box
- you need weak-network resilience like frame dropping and dynamic bitrate switching

## When to avoid
- you need playback or HLS ingestion rather than RTMP publishing
- you target platforms other than iOS
- you need a actively developed solution with recent updates and modern Swift APIs

## Facets
- artifact type: library
- maturity: maintenance
- function: video-processing, audio-processing, streaming, image-processing
- domain: mobile-development, media
- platform: -
- tags: rtmp, live-streaming, h264, aac, gpuimage, beauty-filter, objective-c, broadcasting, ios, mobile, swift

## Member repositories
- LaiFengiOS/LFLiveKit (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:48.118829+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 2026-08-29T18:21:11.464009+00:00, confidence not recorded.
  - readme: https://github.com/LaiFengiOS/LFLiveKit (fetched 2026-08-28T04:08:48.118829+00:00, sha 4caa63f39824)
- Data as of 2026-08-30T08:39:29.467469+00:00.