Comparison
langfuse vs langwatch
Verdict
Pick langfuse if langfuse is an open source AI engineering platform designed to support evaluation and observability functions for large language models; pick langwatch if langWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups.
Markdown twin · langfuse alternatives · langwatch alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | langfuse | langwatch |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- langfuse
- Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets
- langwatch
- The platform for LLM evaluations and AI agent testing
Stars
- langfuse
- 32k
- langwatch
- 3.5k
Forks
- langfuse
- 3.5k
- langwatch
- 340
Open issues
- langfuse
- 709
- langwatch
- 777
Language
- langfuse
- TypeScript
- langwatch
- TypeScript
Adopt for
- langfuse
- Langfuse is an open source AI engineering platform designed to support evaluation and observability functions for large language models.
- langwatch
- LangWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups.
Persona
- langfuse
- -
- langwatch
- -
Runtime
- langfuse
- -
- langwatch
- -
License
- langfuse
- Other
- langwatch
- LangWatch is licensed under Apache-2.0 for its core functionalities, but enterprise modules such as SCIM and audit logging require a commercial license.
Last pushed
- langfuse
- Jul 31, 2026
- langwatch
- Aug 7, 2026
Categories
- langfuse
- Evaluation & Observability
- langwatch
- AI Agents, Evaluation & Observability
Trust and health
Open issues (now)
- langfuse
- 709
- langwatch
- 777
Stars delta
- langfuse
- Unknown
- langwatch
- +152 (30d)
Open issues delta
- langfuse
- Unknown
- langwatch
- +103 (30d)
OSV dependency advisories
- langfuse
- No lockfile (source not queried)
- langwatch
- No published findings from this source as of 2026-07-11
Full report
- langfuse
- Trust report
- langwatch
- Trust report
Typed relationship
langfuse alternative langwatchLangWatch and LangFuse both provide platforms for LLM evaluation, observability, and metrics.
Choose langfuse if…
- License: langfuse is Other, langwatch is Apache-2.0.
- Pricing: Langfuse offers an open-source version under MIT license except for some 'ee' folders, indicating a possible enterprise edition. Specific pricing details are not provided within the repository content.
- Requirements: Requires Docker; Self-hosting options include Docker Compose and Kubernetes for deployment..
- LangWatch and LangFuse both provide platforms for LLM evaluation, observability, and metrics.
- Tags unique to langfuse: open-source, prompt management, self-hosted.
- langfuse ships Docker support for self-hosted deployment.
- Use Langfuse if you need advanced prompt management tools, as it offers comprehensive features specifically tailored for managing prompts efficiently.
When NOT to use langfuse
- Avoid using Langfuse if you prefer a vendor-managed service as it requires self-hosting. This can be less desirable for teams looking to minimize infrastructure management.
- If your development environment is not compatible with Kubernetes, Docker Compose configurations, or major cloud providers (AWS, Azure, GCP) that Langfuse supports via specific templates and Helm, it
- may not be the optimal choice.
Choose langwatch if…
- License: langwatch is Apache-2.0, langfuse is Other.
- Pricing: Open-source editions are free with restrictions on certain advanced features that require a commercial license..
- LangWatch and LangFuse both provide platforms for LLM evaluation, observability, and metrics.
- Tags unique to langwatch: ai, datasets, llm, prompt-engineering.
- Also covers AI Agents.
- You need to evaluate LLMs and test AI agents in a controlled environment.
When NOT to use langwatch
- If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting.
- You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langfuse/langfuse) · observed Aug 1, 2026
- GitHub forks (langfuse/langfuse) · observed Aug 1, 2026
- Last push (langfuse/langfuse) · observed Jul 31, 2026
- License file (Other) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langwatch/langwatch) · observed Aug 8, 2026
- GitHub forks (langwatch/langwatch) · observed Aug 8, 2026
- Last push (langwatch/langwatch) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langfuse 32k · langwatch 3.5k (synced Aug 1, 2026).
Common questions
- What is the difference between langfuse and langwatch?
- langfuse: Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. langwatch: The platform for LLM evaluations and AI agent testing. See the comparison table for live GitHub stats and shared categories.
- When should I choose langfuse over langwatch?
- Choose langfuse over langwatch when License: langfuse is Other, langwatch is Apache-2.0; Pricing: Langfuse offers an open-source version under MIT license except for some 'ee' folders, indicating a possible enterprise edition. Specific pricing details are not provided within the repository content; Requirements: Requires Docker; Self-hosting options include Docker Compose and Kubernetes for deployment.; LangWatch and LangFuse both provide platforms for LLM evaluation, observability, and metrics; Tags unique to langfuse: open-source, prompt management, self-hosted; langfuse ships Docker support for self-hosted deployment; Use Langfuse if you need advanced prompt management tools, as it offers comprehensive features specifically tailored for managing prompts efficiently.
- When should I choose langwatch over langfuse?
- Choose langwatch over langfuse when License: langwatch is Apache-2.0, langfuse is Other; Pricing: Open-source editions are free with restrictions on certain advanced features that require a commercial license.; LangWatch and LangFuse both provide platforms for LLM evaluation, observability, and metrics; Tags unique to langwatch: ai, datasets, llm, prompt-engineering; Also covers AI Agents; You need to evaluate LLMs and test AI agents in a controlled environment.
- When should I avoid langfuse?
- Avoid using Langfuse if you prefer a vendor-managed service as it requires self-hosting. This can be less desirable for teams looking to minimize infrastructure management. If your development environment is not compatible with Kubernetes, Docker Compose configurations, or major cloud providers (AWS, Azure, GCP) that Langfuse supports via specific templates and Helm, it may not be the optimal choice.
- When should I avoid langwatch?
- If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting. You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license.
- Is langfuse or langwatch more popular on GitHub?
- langfuse has more GitHub stars (32,271 vs 3,479). Stars measure visibility, not whether either tool fits your constraints.
- Are langfuse and langwatch open source?
- Yes - both are open-source projects on GitHub (langfuse: Other, langwatch: Apache-2.0).
- Where can I find alternatives to langfuse or langwatch?
- GraphCanon lists graph-backed alternatives at langfuse alternatives and langwatch alternatives (langfuse markdown twin, langwatch markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, langfuse or langwatch?
- langfuse: Very active. langwatch: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for langfuse and langwatch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langfuse trust report; langwatch trust report.