DeepEval

Visit site Alternatives

Score7.1

Rank#5 of 30

PriceFree

Free planYes

Runs onLinux, macOS, Self-hosted, Windows

Summary

DeepEval is a free, open-source framework for creating evaluation pipelines that test AI systems. Its Pytest-native evaluations can run in CI/CD or as Python scripts, and it lists more than 50 metrics, including checks for hallucination, faithfulness, answer relevancy, summarization, toxicity, and bias. The framework evaluates text, images, and audio, including conversational and voice interactions, using methods such as G-Eval, DAG, QAG, and JevEval. It can generate synthetic goldens from a knowledge base and simulate conversations with different user personas. For agent applications, DeepEval traces steps that can be graded and inspected in the terminal or test runner. Integrations cover agent frameworks and a broad set of model providers. By default, it sends basic telemetry to PostHog; the maker says this excludes personally identifiable information and stored results, and users can opt out through an environment variable. The maker describes DeepEval OS as intended for pre-production testing, with results in local files and an engineer-owned test runner. Enterprise capabilities are offered through Confident AI Evals.

Who it is for

DeepEval suits developers building repeatable AI evaluations in Python or CI/CD, especially those testing multiple modalities or agent workflows. Its free OS offering is for pre-production testing rather than production evaluation.

What is good

Free, open-source framework
Pytest-native evaluations for CI/CD
Supports text, images, and audio
Traces agent steps for inspection

What to know first

DeepEval OS is limited to pre-production testing
Results are stored in local files
Basic telemetry is enabled by default

Verdict

DeepEval offers a free framework with a broad set of evaluation metrics and testing methods. Keep its pre-production scope and default telemetry behavior in mind when deciding whether it fits your workflow.

DeepEval plans and pricing

All plans

DeepEval Free Open-source LLM evaluation framework · Apache 2.0 licensed · local and CI/CD test runner deepeval.com · 28 Sept 2026

Compared on AI LLM evaluation tools

Free plan: Yesdeepeval.com
Evaluation methods: modeldeepeval.com
Tool-call checks: Yesdeepeval.com
Trace ingestion: Yesdeepeval.com
Safety evaluations: Yesdeepeval.com
Regression runs: Yesdeepeval.com
SDK language support: bothdeepeval.com

Facts

Purpose: DeepEval is an open-source LLM evaluation framework for building evaluation pipelines to test AI systems.deepeval.com · 28 Sept 2026
Testing: It provides Pytest-native evaluations that run in CI/CD or as Python scripts.deepeval.com · 28 Sept 2026
Metrics: The site lists 50+ research-backed metrics, including hallucination, faithfulness, answer relevancy, summarization, toxicity, and bias.deepeval.com · 28 Sept 2026
Modalities: The framework supports evaluation of text, images, and audio, including conversational and voice evaluations.deepeval.com · 28 Sept 2026
Synthetic data: DeepEval can generate synthetic goldens from a knowledge base and simulate conversations across user personas.deepeval.com · 28 Sept 2026
Tracing: DeepEval traces agent steps so they can be graded and inspected in the terminal and test runner.deepeval.com · 28 Sept 2026
Integrations: Listed integrations include LangChain, Pydantic AI, OpenAI Agents, LangGraph, AWS AgentCore, Strands, Google ADK, LlamaIndex, and CrewAI.deepeval.com · 28 Sept 2026
Model providers: Evaluation model integrations include OpenAI, Azure OpenAI, Ollama, OpenRouter, Anthropic, Amazon Bedrock, Gemini, DeepSeek, Vertex AI, Grok, Moonshot, Portkey, vLLM, LM Studio, and LiteLLM.deepeval.com · 28 Sept 2026
Local telemetry: By default, DeepEval sends basic telemetry to PostHog, excludes personally identifiable information and stored results, and supports opting out with DEEPEVAL_TELEMETRY_OPT_OUT=1.deepeval.com · 28 Sept 2026
Cloud data: The maker says data sent to Confident AI is stored in databases in its private AWS cloud, except for organizations on the VIP plan.deepeval.com · 28 Sept 2026
Enterprise security: The enterprise page lists SSO, role-based access control, granular permissions, audit logs, SOC 2 Type II, GDPR compliance, and custom data retention.deepeval.com · 28 Sept 2026
Enterprise deployment: The enterprise offering is available on Confident AI Evals and can be self-hosted on a customer's infrastructure or run in the maker's cloud.deepeval.com · 28 Sept 2026
Support and collaboration: The enterprise page invites prospective customers to book a demo and describes shared workspaces, no-code evaluation workflows, and annotation queues.deepeval.com · 28 Sept 2026
Notable limit: The maker describes DeepEval OS as limited to pre-production testing, with results in local files and an engineer-owned test runner.deepeval.com · 28 Sept 2026