--- title: "eval-view vs langfuse-java" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hidai25-eval-view-vs-langfuse-langfuse-java" tools: ["hidai25-eval-view", "langfuse-langfuse-java"] --- # eval-view vs langfuse-java *GraphCanon updated Sep 20, 2026* ## Verdict Pick eval-view if eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and; 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. [eval-view](https://evalview.com) reports 134 GitHub stars, 24 forks, and 2 open issues, last pushed Sep 5, 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 [eval-view's repository](https://github.com/hidai25/eval-view) and [langfuse-java's repository](https://github.com/langfuse/langfuse-java). | | [eval-view](/tools/hidai25-eval-view.md) | [langfuse-java](/tools/langfuse-langfuse-java.md) | | --- | --- | --- | | Tagline | Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI | Auto-generated Java Client for Langfuse API | | Stars | 134 | 73 | | Forks | 24 | 14 | | Open issues | 2 | 10 | | Language | Python | Java | | Adopt for | Eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and | 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 | Apache-2.0 | MIT | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [eval-view](/tools/hidai25-eval-view.md) | [langfuse-java](/tools/langfuse-langfuse-java.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 13d | 0d | | Open issues (now) | 2 | 10 | | Stars delta | +8 (30d) | +2 (30d) | | Open issues delta | -1 (30d) | +2 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/hidai25-eval-view/trust.md) | [trust report](/tools/langfuse-langfuse-java/trust.md) | ## Decision facts: eval-view - **Adopt for:** Eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and ## 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 eval-view if… - eval-view is primarily Python; langfuse-java is Java. - License: eval-view is Apache-2.0, langfuse-java is MIT. - Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents. - Also covers AI Agents. - eval-view ships Docker support for self-hosted deployment. - When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic. ### Choose langfuse-java if… - langfuse-java is primarily Java; eval-view is Python. - License: langfuse-java is MIT, eval-view is Apache-2.0. - 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 eval-view - If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic. - When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes. - If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag. - If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this. ## 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 eval-view and langfuse-java? eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. langfuse-java: Auto-generated Java Client for Langfuse API. See the comparison table for live GitHub stats and shared categories. ### When should I choose eval-view over langfuse-java? Choose eval-view over langfuse-java when eval-view is primarily Python; langfuse-java is Java; License: eval-view is Apache-2.0, langfuse-java is MIT; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents; Also covers AI Agents; eval-view ships Docker support for self-hosted deployment; When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic. ### When should I choose langfuse-java over eval-view? Choose langfuse-java over eval-view when langfuse-java is primarily Java; eval-view is Python; License: langfuse-java is MIT, eval-view is Apache-2.0; 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 eval-view? If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic. When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes. If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag. If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this. ### 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 eval-view or langfuse-java more popular on GitHub? eval-view has more GitHub stars (134 vs 73). Stars measure visibility, not whether either tool fits your constraints. ### Are eval-view and langfuse-java open source? Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, langfuse-java: MIT). ### Where can I find alternatives to eval-view or langfuse-java? GraphCanon lists graph-backed alternatives at [eval-view alternatives](/tools/hidai25-eval-view/alternatives) and [langfuse-java alternatives](/tools/langfuse-langfuse-java/alternatives) ([eval-view markdown twin](/tools/hidai25-eval-view/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/hidai25-eval-view-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, eval-view or langfuse-java? eval-view: Active. 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 eval-view and langfuse-java? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [eval-view trust report](/tools/hidai25-eval-view/trust); [langfuse-java trust report](/tools/langfuse-langfuse-java/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hidai25-eval-view`](/api/graphcanon/graph?tool=hidai25-eval-view) - 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/_