Tracely-ai alternatives
Curated alternatives to Tracely-ai — and why you'd switch.
deepeval
Pytest for LLM apps: 40+ research-backed metrics — G-Eval, RAG suite, agent task completion, hallucination — as unit tests you run in CI, judged by any LLM including local ones.
Why switchBoth gate LLM behaviour in CI, from opposite directions. DeepEval is pytest: you author the dataset and pick from 40+ metrics. Tracely inverts it — production traces become the cases automatically and replay from recorded fixtures, so CI costs nothing but you need real traffic first.
Full comparison →LangSmith
Trace, test and monitor LLM apps in production.
Why switchThe same trace-to-test loop, different ownership. LangSmith is the hosted incumbent for tracing, testing and monitoring; Tracely is MIT and self-hosted end to end, and pushes past the dashboard — a regression does not move a chart, it blocks the pull request.
Full comparison →future-agi
Self-hostable platform for the whole agent-quality loop: tracing, evals, simulations, datasets, guardrails and an LLM gateway — one feedback loop from prototype to production. Apache 2.0.
Why switchBoth are self-hostable platforms for the whole agent-quality loop. Future AGI is broader — simulations, datasets, guardrails and an LLM gateway; Tracely is narrower and sharper: everything derives from the trace and the output is a PR verdict, not a score.
Full comparison →