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Langfuse vs Braintrust

Trust Score comparison · March 2026

Langfuse
85
Trust
Good
View profile
VS
Trust Score Δ
15
🏆 Langfuse wins
Braintrust
70
Trust
Fair
View profile

Signal Comparison

160k / wknpm downloads12k / wk
310 commitsCommits (90d)120 commits
10k ★GitHub stars1.2k ★
60 q'sStack Overflow10 q's
GrowingCommunityMedium
LangfuseBraintrust

Key Differences

FactorLangfuseBraintrust
LicenseMITProprietary
LanguageTypeScriptTypeScript / Python
HostedSelf-hostedSelf-hosted
Free tier
Open Source✓ Yes
TypeScript

Pick Langfuse if…

  • You need full visibility into LLM call traces, costs, and latency
  • Running evals and A/B testing different prompts or models
  • Self-hosting observability data for compliance or privacy

Pick Braintrust if…

  • Systematic eval-driven development — score outputs across test datasets
  • You want a managed product with a polished eval UI
  • Running A/B prompt experiments with statistical rigor

Side-by-side Quick Start

Langfuse
import Langfuse from 'langfuse';

const langfuse = new Langfuse({ secretKey: process.env.LANGFUSE_SECRET_KEY });

const trace = langfuse.trace({ name: 'chat-completion' });
const span = trace.span({ name: 'openai-call' });

// ... make your LLM call ...

span.end({ output: responseText });
await langfuse.flushAsync();
Braintrust
import * as braintrust from 'braintrust';

const experiment = braintrust.init('my-project', {
  apiKey: process.env.BRAINTRUST_API_KEY,
  experiment: 'gpt-4o-baseline',
});

experiment.log({
  input: 'What is 2+2?',
  output: '4',
  expected: '4',
  scores: { accuracy: 1.0 },
});

Community Verdict

Based on upvoted notes
🏆
Langfuse wins this comparison
Trust Score 85 vs 70 · 15-point difference

Langfuse leads on Trust Score with stronger signal data across downloads and community health. That said, the other tool is worth considering if your use case matches its specific strengths above.