Promptfoo alternatives: DeepEval, Opik, Phoenix, Langfuse
Updated By Agent Radar5 min read
Short answer
Promptfoo alternatives compared: DeepEval, Opik, Phoenix and Langfuse, ranked by documented evaluation, CI, and deployment fit.
Top pick: DeepEval. DeepEval is an open-source LLM evaluation framework that unit-tests LLM outputs with Pytest-style assertions. It is local-first, so evaluations run in your own environment.
Quick comparison
| Pick | License | Pricing | Source |
|---|---|---|---|
| 1.DeepEval | Apache-2.0 | Not stated | GitHub |
| 2.Opik | Apache-2.0 | Free to self-host the full platform | GitHub |
| 3.Phoenix | Open source | Not stated | GitHub |
| 4.Langfuse | Open source | Managed cloud has a free tier; limits not stated | GitHub |
As of 2026-10-22, the four options in our sources are DeepEval, Opik, Phoenix and Langfuse. DeepEval is a code-first, Pytest-style evaluation framework. Opik, Phoenix and Langfuse are broader platforms that combine tracing, datasets and evaluation. The cited sources do not describe promptfoo, so this page compares only these four.
Quick comparison
| Tool | Best fit (from sources) | License | Pricing as stated | Primary source |
|---|---|---|---|---|
| DeepEval | Unit-testing LLM outputs with Pytest-style assertions, run locally | Apache-2.0 | not stated | GitHub |
| Opik | Test suites built from traces, plus a PyTest integration for CI/CD | Apache-2.0 | Free to self-host the full platform | GitHub |
| Phoenix | OpenTelemetry-based tracing with datasets, experiments and evaluators | not stated (GitHub API reports no recognized license) | not stated | GitHub |
| Langfuse | One platform for tracing, prompt management, evaluation and experiments | not stated (GitHub API reports no recognized license) | Managed cloud has a free tier; other pricing not stated | GitHub |
How the options differ
Evaluation style: tests in code versus platform workflows
DeepEval describes itself as an open-source evaluation framework that unit-tests LLM outputs with Pytest-style assertions (DeepEval docs). Its quickstart has you create a test case and run it with deepeval test run.
Opik's README lists a PyTest integration to test LLM pipelines on every commit (Opik README). Its docs also describe turning a bad trace into a test case through the UI, the SDK or Ollie (Opik docs).
Phoenix lets you attach evaluators to datasets so they run automatically during experiments (Phoenix docs). Langfuse says evaluators can run on production data or during experiments, using LLM-as-a-judge, heuristic functions or human review (Langfuse site).
Deployment, license and cost
DeepEval is described as local-first, with evaluations running in your own environment (DeepEval docs). Its repository reports Apache-2.0.
Opik's README says it is Apache-2.0 licensed and free to self-host the full platform. That statement covers self-hosting only. The README does not state hosted pricing.
Langfuse's README says it can be self-hosted, and it shows a docker compose up route. It also mentions a managed deployment with a free tier and no credit card required (Langfuse README). Its GitHub repository metadata reports no recognized license, so check the repository's license files yourself before depending on it.
Phoenix's README says it runs on a local machine, in a container or in the cloud (Phoenix README). Its repository metadata also reports no recognized license. The README mentions Arize AX as a managed production option, but gives no prices.
Agent workflows and integrations
Phoenix uses OpenTelemetry-based instrumentation. It lists framework support including LangGraph, CrewAI and LlamaIndex, and providers including OpenAI, Anthropic and AWS Bedrock. It also offers a remote MCP server for clients such as Claude Code and Cursor.
Opik documents an MCP server for Claude Code, Cursor, VS Code Copilot, Codex and opencode. DeepEval offers a Skill for Cursor, Claude Code and Codex, and evaluates MCP clients.
DeepEval is not tied to one platform. The Phoenix docs say you can bring evaluators from Ragas, Deepeval or Cleanlab. That means a code-first DeepEval setup and a Phoenix workspace are not mutually exclusive, according to the Phoenix docs.
Ranking criteria
We ranked by how directly the sources document the test-and-regression workflow that people usually seek when they look for promptfoo alternatives. Three things counted: explicit test or CI language, local or self-hosted operation, and a stated open-source license. We did not use popularity, speed or accuracy, because the sources give no comparable figures. For wider coverage, see DeepEval alternatives and Best LLM evaluation framework for local tests and CI. The Agent infra category lists related tools.
How we compared
We read each tool's GitHub repository metadata, its README and its product or docs page, all checked on 2026-10-22. We took licenses from repository metadata and README text. We did not install or run any tool, benchmark any tool, or verify any claim hands-on. Source statements are reported as the projects state them.
Limitations
- The cited sources say nothing about promptfoo, so we cannot say which features these tools match or lack compared with it.
- Pricing for DeepEval, Phoenix and hosted Opik is not stated in the cited sources. Langfuse's free tier is described only as "generous", with no limits given.
- A repository license does not mean hosted services are free.
- The Reddit-style comparisons implied by the query are not covered, because we used only primary sources.
- Langfuse and Phoenix have no GitHub-reported license, and the cited sources do not resolve that.
Explore the hubs for DeepEval, Opik, Phoenix and Langfuse. Latest launches: DeepEval setup wizard, Opik 2.2.105, Phoenix 20.23 and Langfuse 4.64.0.
The picks
DeepEval is an open-source LLM evaluation framework that unit-tests LLM outputs with Pytest-style assertions. It is local-first, so evaluations run in your own environment.
Pros
- Pytest-style assertions and a `deepeval test run` command for running tests
- Evaluates black-box apps, agent trajectories and individual spans
- Repository reports Apache-2.0
Cons
- Pricing not stated in the cited sources
- Production monitoring is handled by the separate Confident AI product, whose pricing is not stated
Opik is an open-source LLM observability and evaluation platform from Comet. It lists a PyTest integration for CI/CD and can turn traces into test cases.
Pros
- PyTest integration to test LLM pipelines on every commit
- Apache-2.0 licensed and free to self-host the full platform
- Documents an MCP server for coding assistants
Cons
- Hosted pricing not stated in the cited sources
- Broader platform scope than a pure test runner
Arize Phoenix is an open-source AI observability platform for experimentation, evaluation and troubleshooting. It uses OpenTelemetry-based tracing and supports datasets, experiments and evaluators.
Pros
- Dataset evaluators run automatically during experiments
- Can use evaluators from Ragas, Deepeval or Cleanlab
- Runs locally, in containers or in the cloud
Cons
- GitHub API reports no recognized license
- Pricing not stated in the cited sources
Langfuse is an open-source LLM engineering platform covering tracing, prompt management, evaluations, datasets and a playground. It can be self-hosted or used as a managed cloud.
Pros
- Evaluations support LLM-as-a-judge, code evaluators and manual labeling
- Self-hostable, with a docker compose route
- Managed cloud has a free tier, no credit card required
Cons
- GitHub API reports no recognized license
- Free-tier limits and other pricing not stated in the cited sources
Questions
What are the main promptfoo alternatives?
Four options in our sources are DeepEval, Opik, Phoenix and Langfuse. DeepEval is a Pytest-style framework, while the other three are platforms that combine tracing, datasets and evaluation. The cited sources do not mention promptfoo.
Are there promptfoo alternatives that run locally?
DeepEval describes itself as local-first, with evaluations running in your own environment. Opik says the full platform is free to self-host. Phoenix says it runs locally, in a container or in the cloud. Langfuse can be self-hosted.
Which promptfoo alternative has a PyTest-style or CI workflow?
DeepEval documents Pytest-style assertions and a `deepeval test run` command. Opik's README lists a PyTest integration for testing LLM pipelines on every commit.
Do the sources include promptfoo alternatives Reddit threads?
No. This page uses only repository metadata, READMEs and product docs, so community opinions are not covered.