--- title: "agentops vs langfuse-java" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-langfuse-langfuse-java" tools: ["agentops-ai-agentops", "langfuse-langfuse-java"] --- # agentops vs langfuse-java *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick langfuse-java if langfuse-java is an auto-generated Java client for Langfuse API that supports observability and monitoring of large language models in a self-hosted setup. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 625 forks, and 184 open issues, last pushed Jun 25, 2026. [langfuse-java](https://github.com/langfuse/langfuse-java) has 73 stars, 14 forks, and 10 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [langfuse-java's repository](https://github.com/langfuse/langfuse-java). | | [agentops](/tools/agentops-ai-agentops.md) | [langfuse-java](/tools/langfuse-langfuse-java.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | Auto-generated Java Client for Langfuse API | | Stars | 5,830 | 73 | | Forks | 625 | 14 | | Open issues | 184 | 10 | | Language | Python | Java | | Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | langfuse-java is an auto-generated Java client for Langfuse API that supports observability and monitoring of large language models in a self-hosted setup. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentops](/tools/agentops-ai-agentops.md) | [langfuse-java](/tools/langfuse-langfuse-java.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 86d | 0d | | Open issues (now) | 184 | 10 | | Stars delta | +59 (30d) | +2 (30d) | | Open issues delta | +8 (30d) | +2 (30d) | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/langfuse-langfuse-java/trust.md) | ## Decision facts: agentops - **Adopt for:** AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. ## Decision facts: langfuse-java - **Adopt for:** langfuse-java is an auto-generated Java client for Langfuse API that supports observability and monitoring of large language models in a self-hosted setup. ## Choose when ### Choose agentops if… - agentops is primarily Python; langfuse-java is Java. - Tags unique to agentops: ai-agents, benchmarking, cost-tracking. - Also covers AI Agents. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose langfuse-java if… - langfuse-java is primarily Java; agentops is Python. - Tags unique to langfuse-java: analytics, java, langfuse, large-language-models. - When your application development environment requires automatic integration with the Langfuse API through the use of Maven Central dependency management. ## When NOT to use agentops - If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI - In case self-hosting of components is impractical due to resource constraints ## When NOT to use langfuse-java - If you require a language-agnostic tool or do not wish to manage dependencies via Maven. - In scenarios where the API's functionalities are too tailored for Langfuse-specific implementations, potentially lacking broader integrations that another competitor might offer directly in their SDK. ## Common questions ### What is the difference between agentops and langfuse-java? agentops: Python SDK for AI agent monitoring and LLM cost tracking. langfuse-java: Auto-generated Java Client for Langfuse API. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over langfuse-java? Choose agentops over langfuse-java when agentops is primarily Python; langfuse-java is Java; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers AI Agents; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose langfuse-java over agentops? Choose langfuse-java over agentops when langfuse-java is primarily Java; agentops is Python; Tags unique to langfuse-java: analytics, java, langfuse, large-language-models; When your application development environment requires automatic integration with the Langfuse API through the use of Maven Central dependency management. ### When should I avoid agentops? If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints ### When should I avoid langfuse-java? If you require a language-agnostic tool or do not wish to manage dependencies via Maven. In scenarios where the API's functionalities are too tailored for Langfuse-specific implementations, potentially lacking broader integrations that another competitor might offer directly in their SDK. ### Is agentops or langfuse-java more popular on GitHub? agentops has more GitHub stars (5,830 vs 73). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and langfuse-java open source? Yes - both are open-source projects on GitHub (agentops: MIT, langfuse-java: MIT). ### Where can I find alternatives to agentops or langfuse-java? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [langfuse-java alternatives](/tools/langfuse-langfuse-java/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [langfuse-java markdown twin](/tools/langfuse-langfuse-java/alternatives.md)), 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](/compare/agentops-ai-agentops-vs-langfuse-langfuse-java.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or langfuse-java? agentops: Steady. langfuse-java: 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 agentops and langfuse-java? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [langfuse-java trust report](/tools/langfuse-langfuse-java/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentops-ai-agentops`](/api/graphcanon/graph?tool=agentops-ai-agentops) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_