patrickjs/evals — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2023-03-16
Confirm that a newer OpenAI model actually answers your specific customer support questions better than an older one.
Build a no-code eval using existing templates and correctly formatted data files.
Contribute a new benchmark dataset to the public registry to help improve model quality.
Log and track eval results over time in Snowflake instead of storing them locally.
| patrickjs/evals | 0verflowme/alarm-clock | 0verflowme/seclists | |
|---|---|---|---|
| Language | — | CSS | — |
| Last pushed | 2023-03-16 | 2022-10-03 | 2020-05-03 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | moderate | easy | easy |
| Complexity | 2/5 | 2/5 | 1/5 |
| Audience | developer | vibe coder | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires an OpenAI API key and correctly formatted YAML/data files to run an eval.
A toolkit for testing how well OpenAI language models perform on specific tasks, letting you compare models like a report card system.
Dormant — no commits in 2+ years (last push 2023-03-16).
License is not stated in the available content.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Don't trust strangers blindly. Verify against the repo.