DeepEval alternatives: 12 tools compared (October 2026)

Giskard tests conversational AI agents for security and quality problems before and after launch, with the enterprise Giskard Hub for continuous red teaming and an open-source library for developers.

Key functions

• More than 50 automated adversarial probes including multi-turn attacks
• Detection of hallucinations, prompt injection, data disclosure and sycophancy
• Evaluation of RAG applications with quality metrics

Compared with DeepEval

• Can store data in the EU; DeepEval states no EU option.
• Built for larger organizations than DeepEval's smallest customers.
• Strongest elsewhere: France.

Check before buying: Choose EU hosting or on-premises installation if test conversations contain personal data, and sign a data processing agreement. Giskard Hub is priced on request. Tests call your agent through its API, which creates load and model costs on your side.

Langfuse is an open-source platform for teams building LLM applications, combining prompt management with tracing, evaluations and analytics. It can be used as a managed cloud with US, EU or Japan regions or self-hosted for free.

Key functions

• Versioned prompts with labels such as production, cached in the SDK
• Playground for testing prompts in the browser
• Experiments on datasets with scoring of results

Compared with DeepEval

• Can store data in the EU; DeepEval states no EU option.
• Names 2 security certificates, DeepEval 0.
• Starts lower: from $29 per month, DeepEval from $200 per month.

Check before buying: Choose the EU region if traces contain personal data from EU users, and sign the data processing addendum, which ClickHouse now publishes and which names Langfuse Cloud. Subprocessors are listed on the ClickHouse subprocessor page. SSO requires the Teams add-on on Pro or Enterprise. When traces include employee prompts, check co-determination rules in Germany.

Braintrust helps AI product teams evaluate and observe agents: they run experiments against datasets before release, monitor traces in production and turn failures into new test cases.

Key functions

• Experiments compare models and prompts with LLM, code or human scoring
• Loop generates improved prompts, scorers and datasets
• Natural language analysis of production traces with pattern detection

Compared with DeepEval

• Starts higher: from $249 per month, DeepEval from $200 per month.
• Strongest elsewhere: United States.

Check before buying: Data retention is 14 days on Starter and 30 days on Pro, so plan exports if you need longer history. Overage for data and scores is billed on top. SAML SSO is available on Enterprise only. Ask for data location and a data processing agreement, since neither is published.

Prolific connects AI developers, researchers and companies with verified participants who provide human data, from preference judgments for model training to evaluations of AI agents and academic studies.

Key functions

• Human feedback for preference tuning and safety evaluations of AI models
• Domain experts such as healthcare and software engineering for demanding tasks
• Evaluation of AI agents and models with representative participants

Compared with DeepEval

• Strongest elsewhere: United Kingdom.

Check before buying: Budget both participant rewards and the platform fee, which is 42.8 percent for companies. Specialized tasks need higher pay to attract qualified people. Avoid putting personal or confidential data into tasks unless your agreement covers it, and request the data processing terms.

Scale AI provides training data, human feedback and evaluations for companies that build AI models, and develops AI applications for large enterprises and government agencies.

Key functions

• Data Engine delivers labeled training data and human feedback for model builders
• Evaluation services and private leaderboards for model capabilities
• GenAI Platform for enterprise AI applications

Compared with DeepEval

• Built for larger organizations than DeepEval's smallest customers.
• Names 4 security certificates, DeepEval 0.
• Strongest elsewhere: United States.

Check before buying: Scale publishes no prices, so request a quote per project and clarify how contributor work is quality-checked. Clarify where data is stored and who among the global contributor network can see it. Request the SOC 2 report through the trust center and a data processing agreement before sharing personal data.

Arize Phoenix is an open-source observability and evaluation tool for LLM applications. Developers trace model calls, score outputs and compare prompt or model versions on their own infrastructure.

Key functions

• Tracing of model calls, retrieval and tool use via OpenTelemetry and OpenInference
• Evaluation with LLM-as-a-judge, code checks or human labels
• Datasets, experiments and a prompt playground for comparing versions

Compared with DeepEval

• Starts lower: from $50 per month, DeepEval from $200 per month.
• Strongest elsewhere: United States.

Check before buying: Check the Elastic License 2.0, which allows internal use but restricts offering Phoenix as a managed service to third parties. Traces can contain user prompts and personal data, so define retention and access. Self-hosting means your team operates the database and updates.

Galileo evaluates and monitors generative AI applications and agents, from offline tests to production guardrails, for AI engineering teams that need to measure and control model quality.

Key functions

• More than 20 out-of-the-box evaluations for RAG, agents, safety and security
• Luna models evaluate all traffic at low latency and cost
• Protect turns evaluation scores into runtime guardrails and agent controls

Compared with DeepEval

• Strongest elsewhere: United States.

Check before buying: The SaaS service processes data in the United States, so check the transfer basis for EU personal data or consider VPC or on-premises deployment on Enterprise. SSO is Enterprise-only. A public data processing agreement was not found, so request one.

GSM8K is a widely used evaluation dataset of 8,500 English math word problems at grade school level. It checks whether a language model can reason through several calculation steps.

Key functions

• Problems need two to eight reasoning steps with basic arithmetic
• Natural-language solutions show each intermediate step

Compared with DeepEval

• Strongest elsewhere: United States.

Check before buying: Many current models score very high on GSM8K, and the test problems are likely part of some training data, so the dataset separates weak models better than strong ones. Use it as a basic check and add harder or company-specific tests. The problems are in English only.