Compare
Langfuse vs Manifest
Langfuse offers observability for LLM apps, but Manifest also handles request routing, autofix and provider fallback.
.png?width=96)
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️
ManifestA complete backend in a single YAML fileWhich to pick
Pick Langfuse if you want…
- LLM observability & analytics
- Integrations with Python, TypeScript or Go (on Langfuse's list, not Manifest's)
Pick Manifest if you want…
- Auto-fixing LLM requests
- The lower starting price: $19/month against $29/month
- Integrations with Google, DeepSeek or AWS Bedrock (on Manifest's 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.
- Manifest:Manifest is an LLM gateway that routes requests, auto-fixes bad calls, provides fallbacks and observability.
- Best for
- Langfuse:LLM observability & analytics
- Manifest:Auto-fixing LLM requests
- Who it’s for
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Manifest:Developers building AI-enabled apps who need reliable LLM routing and monitoring.
- Pricing
- Langfuse:Freemium
- Manifest:Freemium
- Plans
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Manifest:Free $0/month · Pro $19/month
- Open source
- Langfuse:Yes, 35,097 GitHub stars
- Manifest:Yes
- Works with
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- Manifest:OpenAI, Anthropic, Google, DeepSeek, AWS Bedrock, Claude, Gemini, Mistral
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.
Manifest features
- Single-endpoint routing. Access all models and providers through one unified endpoint.
- Autofix. Automatically repairs malformed or failed LLM requests on the fly.
- Fallback handling. Routes to alternative providers when the primary model is down.
- Observability dashboard. Tracks request count, tokens, cost and success rates per model.
- Provider agnostic. Connect any usage-based or subscription LLM provider via API keys.
- Self-hostable Docker image. MIT-licensed Docker image lets you run Manifest on-premise with no request limits.
Langfuse vs Manifest FAQ
Is Langfuse or Manifest free?+
Langfuse has a free plan (Hobby); paid plans start at $29/month (Core). Manifest has a free plan; paid plans start at $19/month (Pro).
Which is cheaper, Langfuse or Manifest?+
Manifest is cheaper to start with: Manifest's Pro plan ($19/month) against Langfuse's Core plan ($29/month).
Is Langfuse or Manifest open source?+
Yes, both are open source: Langfuse (langfuse/langfuse on GitHub) and Manifest (mnfst/manifest on GitHub).
Do Langfuse and Manifest integrate with the same tools?+
Partly. Both list OpenAI and Anthropic. Langfuse also lists Python, TypeScript, Go, Java and 8 more; Manifest also lists Google, DeepSeek, AWS Bedrock, Claude and 7 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.