OpenLIT provides observability and evaluation for AI agents and coding agents, tracing models, tools, prompts, costs, and workflows.
Open source
24 alternativesLangfuse
Langfuse provides open-source evaluation and observability tools for tracing and improving AI agents.
About Langfuse
Langfuse is a platform for tracing, evaluating, and managing AI agents using production data. It combines observability, prompt management, evaluation, experiments, and human annotation in one workflow.
It records LLM calls, tool invocations, and retrieval steps with filtering by user, session, cost, latency, or custom metadata. It also supports prompt versioning with deployments and rollbacks, side-by-side testing, cost and latency dashboards with alerts, OTel-based instrumentation, and self-hosting options.
Key features
- Hierarchical traces for LLM calls, tool invocations, retrieval steps
- Filter traces by user, session, cost, latency, custom metadata
- Run LLM-as-a-judge, heuristic, or human evaluations
- Separate prompts from code with deployments and rollbacks
- Compare prompts and models side-by-side in playground
- Monitor cost, latency, quality with dashboards and alerts
Best for: Teams developing AI agents that need tracing, prompt management, evaluation, and cost monitoring together.
Good for
- Supports self-hosting with Docker Compose, Kubernetes Helm, and Terraform for AWS, GCP, and Azure
- Works with OTel instrumentation plus native Python and TypeScript SDKs and 100+ integrations
- Product features described as MIT licensed with REST APIs and S3 export
Langfuse at a glance
- Website
- langfuse.com
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Langfuse alternatives
Tools and sites you could use instead, ranked by how closely they match.
Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.
Deepchecks evaluates and monitors AI agents using testing, tracing, dataset scoring, and production observability tools.
Comet's Opik platform provides AI observability, agent testing, evaluation, and monitoring for developers.
TensorZero builds open-source tools for production-grade LLM applications: LLM gateway, observability, optimization, evaluations, and experimentation.
PromptLayer supports prompt versioning, LLM evaluations, and production monitoring with traces, logs, and regression sets.
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Langfuse FAQ
Can Langfuse be self-hosted?
Yes, using Docker Compose, Kubernetes with Helm, or Terraform for AWS, GCP, or Azure.
What languages and frameworks are supported?
Any language or framework supporting OTel instrumentation, with native Python and TypeScript SDKs and 100+ integrations.
What evaluation methods does it support?
LLM-as-a-judge, heuristic functions, and human review on production data or during experiments.
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