--- title: "eval-view vs MiroFish-Offline" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hidai25-eval-view-vs-nikmcfly-mirofish-offline" tools: ["hidai25-eval-view", "nikmcfly-mirofish-offline"] --- # eval-view vs MiroFish-Offline *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 MiroFish-Offline if miroFish-Offline is an offline simulation and prediction engine for multi-agent systems that uses Neo4j and Ollama framework locally. [eval-view](https://evalview.com) reports 134 GitHub stars, 24 forks, and 2 open issues, last pushed Sep 5, 2026. [MiroFish-Offline](https://x.com/nikmcfly69/status/2033147482331390328) has 2.5k stars, 659 forks, and 49 open issues, last pushed Mar 24, 2026. Figures are from public GitHub metadata via [eval-view's repository](https://github.com/hidai25/eval-view) and [MiroFish-Offline's repository](https://github.com/nikmcfly/MiroFish-Offline). | | [eval-view](/tools/hidai25-eval-view.md) | [MiroFish-Offline](/tools/nikmcfly-mirofish-offline.md) | | --- | --- | --- | | Tagline | Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI | Offline multi-agent simulation and prediction engine with Neo4j and Ollama local stack | | Stars | 134 | 2,526 | | Forks | 24 | 659 | | Open issues | 2 | 49 | | Language | Python | 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 | MiroFish-Offline is an offline simulation and prediction engine for multi-agent systems that uses Neo4j and Ollama framework locally. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | AGPL-3.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [eval-view](/tools/hidai25-eval-view.md) | [MiroFish-Offline](/tools/nikmcfly-mirofish-offline.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 13d | 179d | | Open issues (now) | 2 | 49 | | Stars delta | +8 (30d) | +58 (30d) | | Full report | [trust report](/tools/hidai25-eval-view/trust.md) | [trust report](/tools/nikmcfly-mirofish-offline/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: MiroFish-Offline - **Requirements:** Min 16 GB RAM; Requires Docker - **Adopt for:** MiroFish-Offline is an offline simulation and prediction engine for multi-agent systems that uses Neo4j and Ollama framework locally. ## Choose when ### Choose eval-view if… - License: eval-view is Apache-2.0, MiroFish-Offline is AGPL-3.0. - Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents. - When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic. ### Choose MiroFish-Offline if… - License: MiroFish-Offline is AGPL-3.0, eval-view is Apache-2.0. - Requirements: Min 16 GB RAM; Requires Docker. - Tags unique to MiroFish-Offline: ai, multi-agent, neo4j, offline. - Use MiroFish-Offline when you require simulations in an offline environment to predict behaviors of multi-agent systems with local data storage options using Neo4j. ## 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 MiroFish-Offline - Avoid MiroFish-Offline if real-time agent interactions are necessary as this tool operates in an offline setup. - Do not use it when your hardware limitations fall below the recommended specifications, such as less than 32 GB RAM and less than 8 cores CPU, especially for efficient LLM inference tasks. ## Common questions ### What is the difference between eval-view and MiroFish-Offline? eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. MiroFish-Offline: Offline multi-agent simulation and prediction engine with Neo4j and Ollama local stack. See the comparison table for live GitHub stats and shared categories. ### When should I choose eval-view over MiroFish-Offline? Choose eval-view over MiroFish-Offline when License: eval-view is Apache-2.0, MiroFish-Offline is AGPL-3.0; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, 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 MiroFish-Offline over eval-view? Choose MiroFish-Offline over eval-view when License: MiroFish-Offline is AGPL-3.0, eval-view is Apache-2.0; Requirements: Min 16 GB RAM; Requires Docker; Tags unique to MiroFish-Offline: ai, multi-agent, neo4j, offline; Use MiroFish-Offline when you require simulations in an offline environment to predict behaviors of multi-agent systems with local data storage options using Neo4j. ### 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 MiroFish-Offline? Avoid MiroFish-Offline if real-time agent interactions are necessary as this tool operates in an offline setup. Do not use it when your hardware limitations fall below the recommended specifications, such as less than 32 GB RAM and less than 8 cores CPU, especially for efficient LLM inference tasks. ### Is eval-view or MiroFish-Offline more popular on GitHub? MiroFish-Offline has more GitHub stars (2,526 vs 134). Stars measure visibility, not whether either tool fits your constraints. ### Are eval-view and MiroFish-Offline open source? Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, MiroFish-Offline: AGPL-3.0). ### Where can I find alternatives to eval-view or MiroFish-Offline? GraphCanon lists graph-backed alternatives at [eval-view alternatives](/tools/hidai25-eval-view/alternatives) and [MiroFish-Offline alternatives](/tools/nikmcfly-mirofish-offline/alternatives) ([eval-view markdown twin](/tools/hidai25-eval-view/alternatives.md), [MiroFish-Offline markdown twin](/tools/nikmcfly-mirofish-offline/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-nikmcfly-mirofish-offline.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, eval-view or MiroFish-Offline? eval-view: Active. MiroFish-Offline: Slowing. 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 MiroFish-Offline? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [eval-view trust report](/tools/hidai25-eval-view/trust); [MiroFish-Offline trust report](/tools/nikmcfly-mirofish-offline/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/_