Comparison
edsl vs MiroFish-Offline
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.
Markdown twin · edsl alternatives · MiroFish-Offline alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | edsl | MiroFish-Offline |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Slowing (142d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- edsl
- 483
- MiroFish-Offline
- 2.5k
Forks
- edsl
- 76
- MiroFish-Offline
- 653
Open issues
- edsl
- 42
- MiroFish-Offline
- 50
Language
- edsl
- Python
- MiroFish-Offline
- Python
Adopt for
- edsl
- 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
- MiroFish-Offline is an offline simulation and prediction engine for multi-agent systems that uses Neo4j and Ollama framework locally.
Persona
- edsl
- -
- MiroFish-Offline
- -
Runtime
- edsl
- -
- MiroFish-Offline
- -
License
- edsl
- MIT
- MiroFish-Offline
- AGPL-3.0
Last pushed
- edsl
- Jul 25, 2026
- MiroFish-Offline
- Mar 24, 2026
Categories
- edsl
- AI Agents, Evaluation & Observability, Model Training
- MiroFish-Offline
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- edsl
- Very active (96%)
- MiroFish-Offline
- Slowing (36%)
Days since push
- edsl
- 0d
- MiroFish-Offline
- 142d
Open issues (now)
- edsl
- 42
- MiroFish-Offline
- 50
Owner type
- edsl
- Organization
- MiroFish-Offline
- User
OSV dependency advisories
- edsl
- No lockfile (source not queried)
- MiroFish-Offline
- Published findings
Full report
- edsl
- Trust report
- MiroFish-Offline
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (expectedparrot/edsl) · observed Jul 25, 2026
- GitHub forks (expectedparrot/edsl) · observed Jul 25, 2026
- Last push (expectedparrot/edsl) · observed Jul 25, 2026
- License file (MIT) · observed Jul 25, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (nikmcfly/MiroFish-Offline) · observed Aug 14, 2026
- GitHub forks (nikmcfly/MiroFish-Offline) · observed Aug 14, 2026
- Last push (nikmcfly/MiroFish-Offline) · observed Mar 24, 2026
- License file (AGPL-3.0) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: edsl 483 · MiroFish-Offline 2.5k (synced Jul 25, 2026).
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 483). 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 and MiroFish-Offline alternatives (edsl markdown twin, MiroFish-Offline markdown twin), 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 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; MiroFish-Offline trust report.