Analysis updated 2026-07-04 · repo last pushed 2026-03-04
Diagnose why your OBS stream is dropping frames by feeding the log file into this tool for a plain-English summary.
Help someone in a tech support forum by pasting their shared OBS log URL and instantly seeing critical issues.
Check your own recording setup for common mistakes like using MP4 instead of a safer format or maxing out your CPU.
| obsproject/loganalyzer | frayude/throttnux | zqbxdev/webchat2api | |
|---|---|---|---|
| Stars | 63 | 63 | 62 |
| Language | Python | Python | Python |
| Last pushed | 2026-03-04 | — | — |
| Maintenance | Maintained | — | — |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 2/5 | 3/5 | 3/5 |
| Audience | general | ops devops | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires Python and a log file URL or local file, no external services or API keys needed.
OBS Studio is a popular free tool for recording video and live streaming, and this project, loganalyzer, automatically reads the diagnostic logs the software produces and highlights problems. Instead of scrolling through a dense text file looking for clues about why your stream dropped frames or your recording stuttered, you point this tool at a log file and it gives you a plain-English summary of issues like insufficient hardware, rendering lag, or low network bandwidth. Under the hood, it is a Python script that scans a log file for known patterns and error messages. You can use it two ways: through a command-line interface by passing it a URL to a log file (such as one uploaded to GitHub's "gist" service), or through a small local web server that runs on your machine and gives you a browser-based interface. Either way, the output sorts findings into three tiers, Critical, Warning, and Info, and includes short explanations of each issue it finds. The primary audience is anyone trying to troubleshoot OBS performance, from solo streamers to community volunteers helping people in tech support forums. If a streamer posts a log link asking "why does my recording look choppy," a helper can run the log through this tool and immediately see that the person was running the auto-config wizard, using an MP4 format instead of a safer alternative, or pushing their CPU to 100%. The README does not go into much detail beyond basic setup and usage, so the full list of detectable issues and how it decides severity is not documented. What is clear is that the project is designed to be straightforward, a single script plus a small optional web server, written in Python and intentionally kept simple.
A Python tool that reads OBS Studio diagnostic log files and highlights problems like rendering lag, insufficient hardware, or low bandwidth, giving you a plain-English summary of issues sorted by severity.
Mainly Python. The stack also includes Python.
Maintained — commit in last 6 months (last push 2026-03-04).
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.