LLM report cards that explain the bad grades
UpTrain grades generative AI applications with 20+ automated checks and diagnoses why they fail.

What it does UpTrain is an open-source Python platform for evaluating and improving generative AI applications. It runs 20+ preconfigured checks across language, code, and embedding use cases and assigns grades. When checks fail, it performs root-cause analysis and suggests how to resolve the issue.
The interesting bit Most evaluation tools hand back a score and leave you to debug; UpTrain treats the grade as the beginning of the investigation. That is a useful shift for teams tired of staring at failing prompts with no obvious culprit.
Key highlights
- 20+ built-in evaluations covering language, code, and embedding scenarios
- Root-cause analysis with remediation guidance for failure cases
- Interactive dashboards for visualizing results
- Explicit checks for hallucinations, jailbreaks, and retrieved-context quality
Verdict Worth a look if you need structured, repeatable diagnostics for LLM features in production or staging. Skip it if you just want a lightweight, one-off prompt comparator.
Frequently asked
- What is uptrain-ai/uptrain?
- UpTrain grades generative AI applications with 20+ automated checks and diagnoses why they fail.
- Is uptrain open source?
- Yes — uptrain-ai/uptrain is open source, released under the Apache-2.0 license.
- What language is uptrain written in?
- uptrain-ai/uptrain is primarily written in Python.
- How popular is uptrain?
- uptrain-ai/uptrain has 2.4k stars on GitHub.
- Where can I find uptrain?
- uptrain-ai/uptrain is on GitHub at https://github.com/uptrain-ai/uptrain.