No. 17 of 30 ·AI LLM Evaluation Tools

UpTrain

Web · Self-hosted · API

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Freedom report

One barScore 5.5

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely1 of 6 device platforms
DocumentedPlans, terms and facts published

UpTrain is ranked #17 of 30 in AI LLM evaluation tools on Freedom251. 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 Freedom251

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