uptrain

Why we included this project

Teams shipping production LLM applications often have no reliable way to tell whether a model is quietly degrading until users complain. UpTrain gives them a structured answer: more than 20 preconfigured checks that grade responses on correctness, relevance, tone, code quality, and hallucination risk, plus 40 operators for building custom evals. When a check fails, the platform digs into the failure and points at likely root causes, so you are not stuck with a single low score and no idea what went wrong. That suits teams that want evaluation running continuously through development and monitoring instead of manual spot checks. It runs locally with a lightweight setup, which helps when you want evaluation close to your pipeline and data.