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Langfuse vs PromptOps
Observability for LLM apps, but does not provide git-native prompt versioning
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LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️
PromptOpsGit-native prompt management and testing frameworkWhich to pick
Pick Langfuse if you want…
- LLM observability & analytics
- Integrations with Python, TypeScript or Go (on Langfuse's list, not PromptOps')
Pick PromptOps if you want…
- Version-controlled prompt management
- A free, open-source tool
- Integrations with OpenTelemetry, LangSmith or Git (on PromptOps' list, not Langfuse's)
Side by side
- What it is
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- PromptOps:Git-native tool to version, bundle, promote and attribute LLM prompts, policies and model configs.
- Best for
- Langfuse:LLM observability & analytics
- PromptOps:Version-controlled prompt management
- Who it’s for
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- PromptOps:LLM developers and ops teams that need version control and observability for prompt artifacts.
- Pricing
- Langfuse:Freemium
- PromptOps:Open source
- Plans
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- PromptOps:—
- Open source
- Langfuse:Yes, 35,097 GitHub stars
- PromptOps:Yes, 31 GitHub stars
- Works with
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- PromptOps:OpenAI, Anthropic, OpenTelemetry, LangSmith, Git
Langfuse features
- Hierarchical Traces. Capture every LLM call, tool invocation and retrieval step with filters for user, session, cost and latency.
- Prompt Management. Version, fetch, release and cache prompts separately from code with one-click deployments.
- Evaluation Engine. Run LLM-as-judge, heuristic or human-review evaluations on production data or experiments.
- Experiments & Datasets. Define test cases, run experiments and create golden datasets for continuous improvement.
- Dashboards & Alerts. Monitor cost, latency and quality via custom dashboards and automated alerts.
- Human Annotation. Collaborative human-in-the-loop workflows with annotation queues.
- Extensive Integrations. Supports Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift and 100+ agent frameworks and model providers.
- Self-hosted & Cloud Options. Available as hosted SaaS or self-hosted under MIT license.
PromptOps features
- Prompt versioning. Write prompts as YAML, commit to git and get automatic semantic version bumps.
- Release bundling. Bundle versioned prompts with policies and model configs into immutable SHA-256 artifacts.
- Promotion & rollback. Promote bundles through environments and rollback with a single command, all audited.
- Attribution tracing. Trace agent behavior back to specific prompt lines or policy rules with confidence scores.
- Analytics & comparison. Aggregate latency, token usage and other metrics per version and compare across versions.
- Observability integration. Inject release metadata into OpenTelemetry and LangSmith traces.
Langfuse vs PromptOps FAQ
Is Langfuse or PromptOps free?+
Langfuse has a free plan (Hobby); paid plans start at $29/month (Core). PromptOps is free and open source.
Which is cheaper, Langfuse or PromptOps?+
PromptOps is free, so it costs less. Langfuse starts at $29/month (Core).
Is Langfuse or PromptOps open source?+
Yes, both are open source: Langfuse (langfuse/langfuse on GitHub) and PromptOps (llmhq-hub/promptops on GitHub, MIT license).
Do Langfuse and PromptOps integrate with the same tools?+
Partly. Both list OpenAI and Anthropic. Langfuse also lists Python, TypeScript, Go, Java and 8 more; PromptOps also lists OpenTelemetry, LangSmith and Git.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.