Langfuse vs. evalship Comparison


Langfuse	evalship Garm Tech B.V.	+	+
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About Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications. Observability: Instrument your app and start ingesting traces to Langfuse Langfuse UI: Inspect and debug complex logs and user sessions Prompts: Manage, version and deploy prompts from within Langfuse Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports Evals: Collect and calculate scores for your LLM completions Experiments: Track and test app behavior before deploying a new version Why Langfuse? - Open source - Model and framework agnostic - Built for production - Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents - Use GET API to build downstream use cases and export data	About evalship helps engineering teams test LLM-powered software with a review of their evals at setup and a report on every pull request. The review checks scorers, judges and prompts for flaws, such as a judge that scores 1.0 when its call fails, and gives each flaw a fix with code references. Setup is a prompt for your coding agent: it configures GitHub Actions and opens a setup pull request. On later pull requests, evalship compares results with the default branch, reports the evals a change really broke and the likely cause, sets flaky evals aside, and flags changed prompts or LLM calls that no eval exercises. Its check can block a merge that breaks an eval. It reads results from pytest, Vitest, Jest, promptfoo, Langfuse, Braintrust and LangSmith, with no SDK to add. Evals run in the customer's own GitHub Actions with their own model API keys; evalship only reads the results. Teams get a dashboard with each eval's history and a weekly report by email. Public repositories are free.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Software Engineers, AI Engineers, Data Scientists, Product Managers	Audience Engineering teams and founders shipping LLM features on GitHub.
Support Phone Support Not Supported 24/7 Live Support Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $29/month Generous free tier and Pro Plans starting at USD 29/month. Langfuse is open source so you will always be able to host the software yourself at no cost. Free Version Supported Free Trial Supported	Pricing $19/month Free for all public repositories, plus 1 private repository with 1 user. Team is $19/month (3 users, 2 private repositories), Pro $49/month (10 users, 5 private repositories) and Business $199/month (50 users, 25 private repositories). Yearly billing gets 2 months free. Paid plans come with a 7-day free trial. Free Version Supported Free Trial Supported
Reviews/Ratings Overall 5.0 / 5 ease 4.0 / 5 features 5.0 / 5 design 4.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros I like that this is exclusively designed for LLMs only, so it takes a lot of clutter out of having to deal with features to do with rest of the models. Scores are very comprehensive including the ones related to query/response, ability to find rag relevance, cost related metrics which other tools typically do not offer and comprehensive trace function. Cons There wasn't much but if I have to highlight something here, self hosting was difficult. And the main dashboard can have drill downs to take it to relevant sections in traces/generations etc
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Langfuse Founded: 2023 Germany langfuse.com	Company Information Garm Tech B.V. Founded: 2026 Netherlands evalship.com
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Categories AI Agent Observability Supported AI Observability Supported LLM Evaluation Supported Observability Supported Prompt Management Supported	Categories LLM Evaluation Supported

Integrations Braintrust Not Supported Claude Supported Claude Duet Supported Claude for Legal Supported DocsGPT Supported Dograh Supported GitHub Actions Not Supported Jest Not Supported Langfuse Not Supported LiteLLM Supported LlamaIndex Supported Netguru Omega Supported OpenAI Supported Overmind Supported Reflexio Supported TierZero Supported Voker Supported evalship Supported promptfoo Not Supported pytest Not Supported Show More Integrations View All 21 Integrations	Integrations Braintrust Supported Claude Not Supported Claude Duet Not Supported Claude for Legal Not Supported DocsGPT Not Supported Dograh Not Supported GitHub Actions Supported Jest Supported Langfuse Supported LiteLLM Not Supported LlamaIndex Not Supported Netguru Omega Not Supported OpenAI Not Supported Overmind Not Supported Reflexio Not Supported TierZero Not Supported Voker Not Supported evalship Not Supported promptfoo Supported pytest Supported Show More Integrations View All 8 Integrations
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