Langfuse vs TruLens
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Tagline
Langfuse
Open-source LLM observability, prompt management, and evaluation in one platform.TruLens
Open-source evaluation and tracing framework for LLM apps and agents, built on OpenTelemetry.Pricing
Langfuse
FreemiumΒ· Free self-host & Hobby tier; Core $29/mo, Pro $199/mo, Enterprise $2,499/moTruLens
FreeΒ· Free, open source (Apache-licensed Python package)Free trial
Langfuse
YesTruLens
YesAPI
Langfuse
YesTruLens
YesPlatforms
Langfuse
api
TruLens
apicliweb
Open source
Langfuse
Yes Β· NOASSERTIONTruLens
Yes Β· MITGitHub stars
Langfuse
35,207
checked 2026-09-29
TruLens
3,579
checked 2026-09-29
Last GitHub push
Langfuse
2026-09-29TruLens
2026-09-29First commit
Langfuse
2023-05TruLens
2020-11Company
Langfuse
βTruLens
TruEraModel used
Langfuse
Model-agnosticTruLens
Multi-model (LLM-as-judge)Best for
Langfuse
Pick Langfuse if you want production-grade LLM tracing, prompt versioning, and evals in one open-source tool you can self-host.TruLens
Pick TruLens if you want a code-first, open-source way to trace and score LLM apps or agents without sending eval data to a hosted vendor.Not for
Langfuse
Skip it if you just need a no-code prompt playground or you're not yet running LLM calls in production worth instrumenting.TruLens
Skip it if you need a turnkey managed eval SaaS with a hosted UI, non-Python SDKs, or zero infra work.Editorial score
Langfuse
7.3 / 10TruLens
8.1 / 10Use cases
Langfuse
llm-observabilityprompt-managementllm-evaluationagent-tracingrag-debugging
TruLens
llm-evaluationrag-evaluationagent-tracingregression-testingobservability
Pros
Langfuse
- Fully open source and self-hostable at no cost
- Tracing, prompts, and evals in one platform instead of three
- Built on OpenTelemetry with SDKs for Python and JS
- Integrates with OpenAI SDK, LangChain, LlamaIndex, and 100+ libraries
- Generous free Hobby tier with no credit card required
TruLens
- Free and open source, no vendor lock-in on eval data
- OpenTelemetry-native tracing plugs into existing observability stacks
- Broad library of benchmarked feedback functions plus custom metrics
- Framework-agnostic: works with LangChain, LlamaIndex, or raw SDK calls
- Backed by Snowflake with active maintenance
Cons
Langfuse
- Cloud pricing by 'units' is opaque until you instrument and measure
- Self-hosting Postgres + ClickHouse stack is non-trivial to operate
- Pro/Enterprise jump ($29 to $199 to $2,499) leaves a gap for mid-size teams
TruLens
- Self-hosted library, no managed dashboard or hosted storage
- LLM-as-judge metrics rack up model API costs you pay separately
- Python-only SDK, no first-party JS/TS client
Editorial score: rule-based, 0β10, from AI-assisted profile inputs (see /methodology) β not a user rating; βββ means unscored. βNot listedβ means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.
Pick Langfuse if
- β Fully open source and self-hostable at no cost
- β Tracing, prompts, and evals in one platform instead of three
- β Built on OpenTelemetry with SDKs for Python and JS
- β Integrates with OpenAI SDK, LangChain, LlamaIndex, and 100+ libraries
Pick TruLens if
- β Free and open source, no vendor lock-in on eval data
- β OpenTelemetry-native tracing plugs into existing observability stacks
- β Broad library of benchmarked feedback functions plus custom metrics
- β Framework-agnostic: works with LangChain, LlamaIndex, or raw SDK calls