--- title: "edsl vs MiroFish-Offline" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/expectedparrot-edsl-vs-nikmcfly-mirofish-offline" tools: ["expectedparrot-edsl", "nikmcfly-mirofish-offline"] --- # edsl vs MiroFish-Offline *GraphCanon updated Aug 25, 2026* ## Verdict Pick edsl if edsl stands out for designing AI-powered surveys and experiments in social science and market research by letting users simulate large-scale studies involving multiple AI agents and LLMs; pick MiroFish-Offline if miroFish-Offline is an offline simulation and prediction engine for multi-agent systems that uses Neo4j and Ollama framework locally. [edsl](https://docs.expectedparrot.com) reports 491 GitHub stars, 79 forks, and 51 open issues, last pushed Aug 23, 2026. [MiroFish-Offline](https://x.com/nikmcfly69/status/2033147482331390328) has 2.5k stars, 653 forks, and 50 open issues, last pushed Mar 24, 2026. Figures are from public GitHub metadata via [edsl's repository](https://github.com/expectedparrot/edsl) and [MiroFish-Offline's repository](https://github.com/nikmcfly/MiroFish-Offline). | | [edsl](/tools/expectedparrot-edsl.md) | [MiroFish-Offline](/tools/nikmcfly-mirofish-offline.md) | | --- | --- | --- | | Tagline | Framework for designing and analyzing AI-powered surveys and experiments | Offline multi-agent simulation and prediction engine with Neo4j and Ollama local stack | | Stars | 491 | 2,468 | | Forks | 79 | 653 | | Open issues | 51 | 50 | | Language | Python | Python | | Adopt for | edsl stands out for designing AI-powered surveys and experiments in social science and market research by letting users simulate large-scale studies involving multiple AI agents and LLMs. | MiroFish-Offline is an offline simulation and prediction engine for multi-agent systems that uses Neo4j and Ollama framework locally. | | Persona | - | - | | Runtime | - | - | | License | MIT | AGPL-3.0 | | Categories | AI Agents, Evaluation & Observability, Model Training | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [edsl](/tools/expectedparrot-edsl.md) | [MiroFish-Offline](/tools/nikmcfly-mirofish-offline.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 142d | | Open issues (now) | 51 | 50 | | Stars delta | +8 (30d) | Unknown | | Open issues delta | +9 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/expectedparrot-edsl/trust.md) | [trust report](/tools/nikmcfly-mirofish-offline/trust.md) | ## Decision facts: edsl - **Adopt for:** edsl stands out for designing AI-powered surveys and experiments in social science and market research by letting users simulate large-scale studies involving multiple AI agents and LLMs. ## 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 edsl if… - License: edsl is MIT, MiroFish-Offline is AGPL-3.0. - Tags unique to edsl: anthropic, data-labeling, domain-specific-language, llm-agent. - Also covers Model Training. - When conducting complex simulations of social science studies that require the use of multiple AI agents or interactions with LLMs. ### Choose MiroFish-Offline if… - License: MiroFish-Offline is AGPL-3.0, edsl is MIT. - Requirements: Min 16 GB RAM; Requires Docker. - Tags unique to MiroFish-Offline: ai, multi-agent, neo4j, offline. - MiroFish-Offline ships Docker support for self-hosted deployment. - 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 edsl - If your project requires real human responses and feedback in experiments, edsl is a system designed around AI agents rather than living participants. - In cases where the scope of the experiment does not involve social science or require significant simulation capabilities with large numbers of AI entities. ## 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 edsl and MiroFish-Offline? edsl: Framework for designing and analyzing AI-powered surveys and experiments. 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 edsl over MiroFish-Offline? Choose edsl over MiroFish-Offline when License: edsl is MIT, MiroFish-Offline is AGPL-3.0; Tags unique to edsl: anthropic, data-labeling, domain-specific-language, llm-agent; Also covers Model Training; When conducting complex simulations of social science studies that require the use of multiple AI agents or interactions with LLMs. ### When should I choose MiroFish-Offline over edsl? Choose MiroFish-Offline over edsl when License: MiroFish-Offline is AGPL-3.0, edsl is MIT; Requirements: Min 16 GB RAM; Requires Docker; Tags unique to MiroFish-Offline: ai, multi-agent, neo4j, offline; MiroFish-Offline ships Docker support for self-hosted deployment; 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 edsl? If your project requires real human responses and feedback in experiments, edsl is a system designed around AI agents rather than living participants. In cases where the scope of the experiment does not involve social science or require significant simulation capabilities with large numbers of AI entities. ### 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 edsl or MiroFish-Offline more popular on GitHub? MiroFish-Offline has more GitHub stars (2,468 vs 491). Stars measure visibility, not whether either tool fits your constraints. ### Are edsl and MiroFish-Offline open source? Yes - both are open-source projects on GitHub (edsl: MIT, MiroFish-Offline: AGPL-3.0). ### Where can I find alternatives to edsl or MiroFish-Offline? GraphCanon lists graph-backed alternatives at [edsl alternatives](/tools/expectedparrot-edsl/alternatives) and [MiroFish-Offline alternatives](/tools/nikmcfly-mirofish-offline/alternatives) ([edsl markdown twin](/tools/expectedparrot-edsl/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/expectedparrot-edsl-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, edsl or MiroFish-Offline? edsl: Very 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 edsl and MiroFish-Offline? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [edsl trust report](/tools/expectedparrot-edsl/trust); [MiroFish-Offline trust report](/tools/nikmcfly-mirofish-offline/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=expectedparrot-edsl`](/api/graphcanon/graph?tool=expectedparrot-edsl) - 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/_