Tracely vs Tracely-ai
The two are close in size: 1.2k stars for Tracely, 1.2k for Tracely-ai. Over the days we have tracked them Tracely moved +27% and Tracely-ai +18.6%, so Tracely is growing faster right now.
Tracely-ai leads on model freedom. Tracely does not take any axis by a clear margin.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
Promotes real failing production traces into hermetic, replayable regression tests that run offline in CI and block PRs.
- Stars
- 1.2k
- Tracked growth
- +27%
- Maturity
- ●●●●●
- Last commit
- 5h ago
- Language
- Python
- License
- MIT
- Cost to run
- Self-hosted; CI replays use recorded fixtures (no model spend).
Promotes real failing production traces into hermetic, replayable regression cases that run offline in CI and block PRs, instead of relying on hand-authored datasets.
- Stars
- 1.2k
- Tracked growth
- +18.6%
- Maturity
- ●●●●●
- Last commit
- 5h ago
- Language
- Python
- License
- MIT
- Cost to run
- CI replay $0; live judges use your model API key.
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | Tracely | Tracely-ai |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● No repo context | ●●●●● Per-run only |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Clustering & gating | ●●●●● Clustering & gating |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Extensive rules & prompts | ●●●●● Rich rule & prompts |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Self-hostable / local | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Multiple providers | ●●●●● Bring-your-key |
Setup ease What it takes to get a first useful run out of it. | ●●●●● One-command demo | ●●●●● One-command demo |
Which one to pick
Pick Tracely if…
Production-driven testing — turn exact failing traces into deterministic regression cases that replay in CI with no model spend to prevent regressions.
Pick Tracely-ai if…
Production-driven tests — pick Tracely when you want failing runs promoted from real traces into deterministic, offline regression cases that gate PRs.
- Model freedom: Bring-your-key (5/5 against 3/5)
What people want from each one
Questions people ask
Is Tracely better than Tracely-ai?
Tracely-ai leads on model freedom. Tracely does not take any axis by a clear margin. Tracely is worth picking when production-driven testing — turn exact failing traces into deterministic regression cases that replay in CI with no model spend to prevent regressions.
Which of Tracely and Tracely-ai keeps my code private?
Tracely: Self-hostable / local (5/5). Tracely-ai: Self-hostable (4/5).
What does each one cost to run?
Tracely: Self-hosted; CI replays use recorded fixtures (no model spend).. Tracely-ai: CI replay $0; live judges use your model API key..
Full profiles: Jwuthri/Tracely and Jwuthri/Tracely-ai. Everything else in Observability & tracing.