mortensi/myrobot — explained in plain English
Analysis updated 2026-07-13 · repo last pushed 2023-06-20
Troubleshoot a slow MySQL database by analyzing a captured diagnostics snapshot instead of reading raw logs.
Generate a diagnostic report from a production MySQL instance and review it offline without adding load to the live system.
Help a backend developer or DBA pinpoint performance issues from a minute-long metrics capture during an incident.
| mortensi/myrobot | 0xhassaan/nn-from-scratch | a-little-hoof/dsr | |
|---|---|---|---|
| Stars | — | 0 | 0 |
| Language | Python | Python | Python |
| Last pushed | 2023-06-20 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | easy | moderate | hard |
| Complexity | 2/5 | 4/5 | 5/5 |
| Audience | ops devops | developer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Requires generating a diagnostics file from MySQL first using a built-in procedure before the script can analyze anything.
MyRobot is a Python script that helps you make sense of MySQL database diagnostics. When a database is acting up, running slowly, or behaving unexpectedly, database administrators can generate a detailed diagnostic report using a built-in MySQL procedure. MyRobot reads that report and performs static analysis, meaning it examines the data without running any live queries against your database, to surface useful insights. To use it, you first generate a diagnostics file from your MySQL database. This is done by running a specific command inside MySQL that captures about a minute's worth of system metrics, query activity, and performance data, and saves it all to a text file. You then hand that text file to MyRobot by running it from the command line with Python. The script parses the file and presents the findings in a more digestible format, as shown in the project's demo. This tool is aimed at database administrators, backend developers, or site reliability engineers who manage MySQL environments. For example, if your web application starts experiencing slow response times, you might generate a diagnostics snapshot to figure out what is going wrong. Instead of manually reading through a massive, dense log file full of raw metrics, you can run MyRobot to help highlight the important parts of that data and guide your troubleshooting. The README does not go into detail about exactly which specific metrics or issues the tool flags, nor does it list what the final analyzed output looks like beyond an animated demonstration. The core tradeoff of this approach is that the analysis is entirely offline. Because it works on a saved text file rather than connecting directly to a live database, it is safe to run without risking any additional load on a production system, but it also means it can only tell you about what happened during the specific minute you captured.
MyRobot is a Python tool that reads MySQL diagnostic reports and highlights important findings so you can troubleshoot slow or misbehaving databases without manually parsing dense log files.
Mainly Python. The stack also includes Python, MySQL.
Dormant — no commits in 2+ years (last push 2023-06-20).
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
Verify against the repo before relying on details.