--- title: "eval-view vs langevals" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hidai25-eval-view-vs-langwatch-langevals" tools: ["hidai25-eval-view", "langwatch-langevals"] --- # eval-view vs langevals *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 langevals if langEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect. [eval-view](https://evalview.com) reports 134 GitHub stars, 24 forks, and 2 open issues, last pushed Sep 5, 2026. [langevals](https://langwatch.ai/) has 72 stars, 10 forks, and 0 open issues, last pushed Feb 15, 2026. Figures are from public GitHub metadata via [eval-view's repository](https://github.com/hidai25/eval-view) and [langevals's repository](https://github.com/langwatch/langevals). | | [eval-view](/tools/hidai25-eval-view.md) | [langevals](/tools/langwatch-langevals.md) | | --- | --- | --- | | Tagline | Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI | Provides a platform for evaluating and benchmarking LLM models using various evaluators | | Stars | 134 | 72 | | Forks | 24 | 10 | | Open issues | 2 | 0 | | Language | Python | - | | 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 | LangEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | 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) | [langevals](/tools/langwatch-langevals.md) | | --- | --- | --- | | Maintenance | Active (82%) | Archived (8%) | | Days since push | 13d | 209d | | Archived on GitHub | No | Yes | | Open issues (now) | 2 | 0 | | Stars delta | +8 (30d) | 0 (30d) | | Open issues delta | -1 (30d) | -18 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/hidai25-eval-view/trust.md) | [trust report](/tools/langwatch-langevals/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: langevals - **Pricing:** unknown - **Adopt for:** LangEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease. ## Choose when ### Choose eval-view if… - 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 langevals if… - Tags unique to langevals: evaluation, guardrails, llm, openai. - When you need a singular point of access to multiple LLM evaluation tools - Leaner open-issue backlog (0). ## 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 langevals - If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option - When needing to customize evaluation processes extensively beyond what the provided standard interface allows ## Common questions ### What is the difference between eval-view and langevals? eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. langevals: Provides a platform for evaluating and benchmarking LLM models using various evaluators. See the comparison table for live GitHub stats and shared categories. ### When should I choose eval-view over langevals? Choose eval-view over langevals when 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 langevals over eval-view? Choose langevals over eval-view when Tags unique to langevals: evaluation, guardrails, llm, openai; When you need a singular point of access to multiple LLM evaluation tools; Leaner open-issue backlog (0). ### 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 langevals? If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option When needing to customize evaluation processes extensively beyond what the provided standard interface allows ### Is eval-view or langevals more popular on GitHub? eval-view has more GitHub stars (134 vs 72). Stars measure visibility, not whether either tool fits your constraints. ### Are eval-view and langevals open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to eval-view or langevals? GraphCanon lists graph-backed alternatives at [eval-view alternatives](/tools/hidai25-eval-view/alternatives) and [langevals alternatives](/tools/langwatch-langevals/alternatives) ([eval-view markdown twin](/tools/hidai25-eval-view/alternatives.md), [langevals markdown twin](/tools/langwatch-langevals/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-langwatch-langevals.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, eval-view or langevals? eval-view: Active. langevals: Archived. 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 langevals? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [eval-view trust report](/tools/hidai25-eval-view/trust); [langevals trust report](/tools/langwatch-langevals/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/_