Compare
Calljmp vs Langfuse
Observability for LLM apps, not a runtime for agents
CalljmpAI agents as Code, on a managed backend.png?width=96)
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Which to pick
Pick Calljmp if you want…
- Code-native AI agent backend
- The lower starting price: $20/month against $29/month
- Integrations with GraphQL, gRPC or Databases (on Calljmp's list, not Langfuse's)
Pick Langfuse if you want…
- LLM observability & analytics
- Open-source code (langfuse/langfuse on GitHub)
- Integrations with Python, TypeScript or Go (on Langfuse's list, not Calljmp's)
Side by side
- What it is
- Calljmp:Calljmp provides a TypeScript-native, managed backend for building, deploying and scaling AI agents and workflows.
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Best for
- Calljmp:Code-native AI agent backend
- Langfuse:LLM observability & analytics
- Who it’s for
- Calljmp:SaaS product teams, technical founders, and developer agencies building AI features.
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Pricing
- Calljmp:Freemium
- Langfuse:Freemium
- Plans
- Calljmp:Solo $20 per month · Pro $99 per month
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Open source
- Calljmp:—
- Langfuse:Yes, 35,097 GitHub stars
- Works with
- Calljmp:GraphQL, gRPC, Databases
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
Calljmp features
- TypeScript-native agents. Write agents and workflows directly in TypeScript with full type safety.
- Managed execution & scaling. Calljmp handles agent runtime, state, retries, timeouts and HITL without infrastructure.
- Observability dashboard. Unified traces, logs, metrics and cost tracking for all agents.
- Zero-config integrations. Connect to REST/GraphQL/gRPC APIs, databases and services as tools without setup.
- Human-in-the-loop. Add approval flows and manual reviews into any agent workflow.
- Memory & knowledge store. Persistent context and vector/hybrid search for documents, APIs and datasets.
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.
Calljmp vs Langfuse FAQ
Is Calljmp or Langfuse free?+
Calljmp has a free plan; paid plans start at $20/month (Solo). Langfuse has a free plan (Hobby); paid plans start at $29/month (Core).
Which is cheaper, Calljmp or Langfuse?+
Calljmp is cheaper to start with: Calljmp's Solo plan ($20/month) against Langfuse's Core plan ($29/month).
Is Calljmp or Langfuse open source?+
Langfuse is open source (langfuse/langfuse on GitHub). DevHunt has no public source repository on record for Calljmp.
Do Calljmp and Langfuse integrate with the same tools?+
Their integration lists don't overlap: Calljmp lists GraphQL, gRPC and Databases; Langfuse lists Python, TypeScript, Go, Java and 10 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.