Langfuse vs OpenLIT
Langfuse
langfuse.comOpenLIT
openlit.ioSide by side
| Figure | Langfuse | OpenLIT |
|---|---|---|
| Price from | $29/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 10 | 3 |
| Spec score · Model Monitoring Software | 9.0 (#3) | 8.4 (#13) |
| Spec score · LLM Observability Tools | 9.0 (#4) | 8.5 (#10) |
| Spec score · Llm Monitoring | 8.9 (#5) | 8.4 (#11) |
| Spec score · AI Agent Observability Tools | 9.0 (#6) | 8.5 (#9) |
| Spec score · AI LLM Observability Tools | 9.0 (#5) | 8.5 (#8) |
| Evaluations | Evaluation supports LLM-as-a-Judge, heuristic or code evaluators, human review, annotation queues, and scoring of production data or experiments. | OpenLIT includes built-in evaluations, programmatic evaluations and LLM-as-a-judge workflows that can run locally or in CI. |
| Integrations | Langfuse lists more than 100 integrations spanning OpenTelemetry, Python and TypeScript, model providers, agent frameworks, gateways, and developer tools. | The home page advertises more than 56 integrations spanning LLMs, agent frameworks, vector databases and GPUs. |
| Licence | Langfuse states that all product features are MIT licensed, while a separate Enterprise license covers governance features such as project RBAC, audit logs, SCIM, and retention policies. | The project is licensed under Apache License 2.0. |
| Prompt management | Prompt Management provides versioning, one-click deployments, rollbacks, prompt labels, and per-version performance metrics. | Prompt Hub provides prompt versioning, dynamic variables, API retrieval and AI-assisted prompt improvement. |
| Rating on G2 | 4.5 out of 5 from 1 review | 5.0 out of 5 from 1 review. |
| SDKs | Official SDKs are Python v5 and JavaScript/TypeScript v6; other languages can use OpenTelemetry instrumentation. | Official SDKs are available for Python, TypeScript and Go; Python installs with pip and TypeScript with npm. |
| Self-hosting | The OSS edition can be deployed with Docker Compose, Kubernetes Helm, or Terraform guides for AWS, GCP, and Azure, including offline or air-gapped installations. | Docker Compose runs the UI on port 3000, OTLP receivers on ports 4317 and 4318, and ClickHouse for traces, metrics and logs; Kubernetes Helm deployment is also documented. |
| Support | Hobby includes community support via GitHub, Core includes in-app support, Pro includes prioritized in-app support, and Enterprise includes support SLA and a named lead support engineer. | The OSS plan includes community support on GitHub. |
| System requirements | The Kubernetes deployment guide requires Kubernetes 1.28 or newer, Helm 3.17 or newer, ClickHouse 25.12 minimum, Postgres 16 recommended, and Redis 7.2 recommended. | The local sandbox requires Docker and Docker Compose; Kubernetes users install the published Helm chart. |
| What it does | Langfuse is an open-source AI engineering platform for tracing, prompt management, evaluations, metrics, and iterative improvement of LLM applications and agents. | OpenLIT is an OpenTelemetry-native platform for tracing, evaluating, guarding and improving AI agents and coding agents. |
Plans
Langfuse
- HobbyFree
- HobbyFree
- Core$29 a month
- Core$29 a month
- Pro$199 a month
- Pro$199 a month
- Teams Add-on$300 a month
- Teams Add-on$300 a month
- Enterprise$2,499 a month
- Enterprise$2,499 a month
In their own words
Langfuse
Langfuse is an open-source AI engineering platform for teams debugging, analyzing, and iterating on AI agent applications. Its tracing records prompts, model responses, token use, latency, tool calls, retrieval steps, and metadata. Prompt Management stores, versions, deploys, and tests prompts, then links them to traces. Evaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments. Integrations include Python and JS/TS SDKs, OpenTelemetry, an API, CLI, MCP Server, and popular AI frameworks. Teams can self-host the MIT-licensed core on customer infrastructure using Docker, with options including Docker Compose, Kubernetes, AWS, and Azure. Langfuse reports annual SOC 2 Type 2 and ISO 27001 audits, external penetration tests, GDPR compliance, a DPA, and a HIPAA-ready region. Its Cloud traffic uses TLS 1.2+ and stored data uses AES-256 encryption. The free Hobby plan is free and includes 50k units per month, 30 days of data access, two users, and community support via GitHub. Core costs $29 a month, billed monthly.
OpenLIT
OpenLIT is an open-source platform for tracing and evaluating LLM activity, managing prompts, and tracking costs. Built on OpenTelemetry, it can capture model calls, tool use, and retrievals, with filters for user, session, cost, latency, and metadata. Evaluations can use an LLM judge, heuristics, or human review on production traffic or experiments. Prompt Hub provides versioning, dynamic variables, API retrieval, unlimited prompt fetching, and AI-assisted improvement. OpenGround supports side-by-side model comparisons for latency, tokens, and cost, including comparisons using a user’s own key. Coding agent monitoring covers sessions, costs, tokens, repository activity, and code impact. The site lists more than 56 integrations across LLMs, agent frameworks, vector databases, and GPUs. OpenLIT accepts OTLP data and can be self-hosted with Docker Compose or Kubernetes Helm. Its Apache 2.0 license and site description note that self-hosting keeps prompts, traces, and secrets in the user’s environment. The OSS plan costs nothing and includes unlimited self-hosted usage, users, projects, and environments.