--- title: "eval-view vs latitude-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hidai25-eval-view-vs-latitude-dev-latitude-llm" tools: ["hidai25-eval-view", "latitude-dev-latitude-llm"] --- # eval-view vs latitude-llm *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 latitude-llm if latitude-LLM is an open-source AI monitoring platform that provides real-time observability capabilities for autonomous agents and large language models. [eval-view](https://evalview.com) reports 134 GitHub stars, 24 forks, and 2 open issues, last pushed Sep 5, 2026. [latitude-llm](https://latitude.so) has 4.6k stars, 387 forks, and 61 open issues, last pushed Sep 9, 2026. Figures are from public GitHub metadata via [eval-view's repository](https://github.com/hidai25/eval-view) and [latitude-llm's repository](https://github.com/latitude-dev/latitude-llm). | | [eval-view](/tools/hidai25-eval-view.md) | [latitude-llm](/tools/latitude-dev-latitude-llm.md) | | --- | --- | --- | | Tagline | Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI | Open-source AI monitoring platform | | Stars | 134 | 4,633 | | Forks | 24 | 387 | | Open issues | 2 | 61 | | Language | Python | TypeScript | | 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 | Latitude-LLM is an open-source AI monitoring platform that provides real-time observability capabilities for autonomous agents and large language models. | | Persona | - | developer harness | | Runtime | - | - | | License | Apache-2.0 | Latitude-LLM offers its code under the MIT License, enabling developers to freely integrate, modify, and distribute the software provided they adhere to license terms. | | 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) | [latitude-llm](/tools/latitude-dev-latitude-llm.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 13d | 0d | | Open issues (now) | 2 | 61 | | Stars delta | +8 (30d) | +65 (30d) | | Open issues delta | -1 (30d) | -70 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/hidai25-eval-view/trust.md) | [trust report](/tools/latitude-dev-latitude-llm/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: latitude-llm - **Pricing:** freemium - Latitude provides a freemium model with initial credits for monitoring capabilities without up-front costs. - **Adopt for:** Latitude-LLM is an open-source AI monitoring platform that provides real-time observability capabilities for autonomous agents and large language models. - **License detail:** Latitude-LLM offers its code under the MIT License, enabling developers to freely integrate, modify, and distribute the software provided they adhere to license terms. - **Persona:** developer harness ## Choose when ### Choose eval-view if… - eval-view is primarily Python; latitude-llm is TypeScript. - License: eval-view is Apache-2.0, latitude-llm is MIT. - Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents. - Also covers AI Agents. - When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic. ### Choose latitude-llm if… - latitude-llm is primarily TypeScript; eval-view is Python. - License: latitude-llm is MIT, eval-view is Apache-2.0. - Pricing: Latitude provides a freemium model with initial credits for monitoring capabilities without up-front costs.. - Tags unique to latitude-llm: agent-monitoring, ai-observability, llm-observability. - When you require comprehensive error tracing specifically for LLMs (large language models) without the cost barriers, Latitude offers initial credits along with being MIT licensed. ## 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 latitude-llm - Consider other platforms if you need more than the included 20K credits per month as additional costs may apply. - If ease of use is paramount over advanced features or flexibility in deployment, Latitude might require a steeper learning curve and involve more setup effort. ## Common questions ### What is the difference between eval-view and latitude-llm? eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. latitude-llm: Open-source AI monitoring platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose eval-view over latitude-llm? Choose eval-view over latitude-llm when eval-view is primarily Python; latitude-llm is TypeScript; License: eval-view is Apache-2.0, latitude-llm is MIT; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents; Also covers AI Agents; 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 latitude-llm over eval-view? Choose latitude-llm over eval-view when latitude-llm is primarily TypeScript; eval-view is Python; License: latitude-llm is MIT, eval-view is Apache-2.0; Pricing: Latitude provides a freemium model with initial credits for monitoring capabilities without up-front costs.; Tags unique to latitude-llm: agent-monitoring, ai-observability, llm-observability; When you require comprehensive error tracing specifically for LLMs (large language models) without the cost barriers, Latitude offers initial credits along with being MIT licensed. ### 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 latitude-llm? Consider other platforms if you need more than the included 20K credits per month as additional costs may apply. If ease of use is paramount over advanced features or flexibility in deployment, Latitude might require a steeper learning curve and involve more setup effort. ### Is eval-view or latitude-llm more popular on GitHub? latitude-llm has more GitHub stars (4,633 vs 134). Stars measure visibility, not whether either tool fits your constraints. ### Are eval-view and latitude-llm open source? Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, latitude-llm: MIT). ### Where can I find alternatives to eval-view or latitude-llm? GraphCanon lists graph-backed alternatives at [eval-view alternatives](/tools/hidai25-eval-view/alternatives) and [latitude-llm alternatives](/tools/latitude-dev-latitude-llm/alternatives) ([eval-view markdown twin](/tools/hidai25-eval-view/alternatives.md), [latitude-llm markdown twin](/tools/latitude-dev-latitude-llm/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-latitude-dev-latitude-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, eval-view or latitude-llm? eval-view: Active. latitude-llm: 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 latitude-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [eval-view trust report](/tools/hidai25-eval-view/trust); [latitude-llm trust report](/tools/latitude-dev-latitude-llm/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/_