UpTrain

6.5easy start · #17 of 30
in AI LLM Evaluation Tools

Free to practise onnot on record
Free trialnot on record
Well documentedyes
Runs where you worknot on record

Runs on api, self-hosted, Web.

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UpTrain is ranked #17 of 30 in AI LLM evaluation tools on The Geeks Club. It runs on API, Self-hosted, Web.

Compared on AI LLM evaluation tools

Evaluation methods: preconfigured checks; custom prompt evaluations; custom Python evaluations; model-graded evaluations; classification; chain-of-thought classification; regression testing; experiments
Model support: OpenAI; Azure; Claude; Mistral; Together AI; Anyscale; Ollama; Hugging Face; Replicate; custom endpoints
Safety evaluations: Yes
Deployment: hybrid
Prompt versioning: Yes
API access: Yes

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The record

Product: UpTrain describes itself as an open-source platform for evaluating and improving LLM applications.
Evaluations: It provides scores for 20+ preconfigured evaluations and supports custom evaluations.
Failure analysis: UpTrain performs root cause analysis on failure cases and offers insights on how to resolve them.
Experimentation: The product supports systematic experiments with different configurations to help prevent regressions.
Security checks: Its listed checks include prompt injection and jailbreak detection.
Data handling: The repository says evaluations and analysis run locally, except for LLM calls when using model-grading checks.
License: The repository is published under the Apache 2.0 license.
Integrations: The repository lists integrations including OpenAI Evals, LlamaIndex, Ollama, Langfuse, Qdrant, and Chroma.
LLM providers: The documentation lists support for OpenAI, Azure, Claude, Mistral, Together AI, Anyscale, and Ollama.
Support: The documentation directs users to its Slack community for questions and requests.
Intended users: The homepage describes the platform as serving developers, product managers, and business leaders.
Regression testing: UpTrain says it automates testing after prompt, configuration, or code changes and supports prompt version rollback.
Error analysis: The site says UpTrain isolates error cases, finds common patterns, and provides root cause analysis.
Datasets: UpTrain says it can create diverse test sets and enrich existing datasets with edge cases captured in production.

Where it ranks on The Geeks Club

Best AI LLM Evaluation Tools in 2026#17 of 30

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Sources

docs.uptrain.ai/getting-started/introduction· checked 2 Oct 2026
github.com/uptrain-ai/uptrain· checked 2 Oct 2026
docs.uptrain.ai· checked 2 Oct 2026
uptrain.ai· checked 2 Oct 2026
uptrain.ai/privacy-policy· checked 3 Oct 2026
cbinsights.com/company/uptrain-ai· checked 3 Oct 2026