Comparison
eval-view vs MiroFish-Offline
Verdict
Pick eval-view if regression testing for AI agents to detect behavioral changes and output quality regressions over time; 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 · eval-view alternatives · MiroFish-Offline alternatives
GraphCanon updated Sep 2, 2026
10views this month
vs
Trust & integrity
| Signal | eval-view | MiroFish-Offline |
|---|---|---|
| Maintenance | Active (9d since push) As of Sep 2, 2026 · github_public_v1 | Slowing (142d since push) As of Aug 14, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 2, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 14, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Jul 15, 2026 · 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
- eval-view
- Regression testing for AI agents
- MiroFish-Offline
- Offline multi-agent simulation and prediction engine with Neo4j and Ollama local stack
Stars
- eval-view
- 133
- MiroFish-Offline
- 2.5k
Forks
- eval-view
- 24
- MiroFish-Offline
- 653
Open issues
- eval-view
- 4
- MiroFish-Offline
- 50
Language
- eval-view
- Python
- MiroFish-Offline
- Python
Adopt for
- eval-view
- Regression testing for AI agents to detect behavioral changes and output quality regressions over time.
- MiroFish-Offline
- MiroFish-Offline is an offline simulation and prediction engine for multi-agent systems that uses Neo4j and Ollama framework locally.
Persona
- eval-view
- -
- MiroFish-Offline
- -
Runtime
- eval-view
- -
- MiroFish-Offline
- -
License
- eval-view
- The software uses the Apache-2.0 license, offering permissive terms for use and distribution.
- MiroFish-Offline
- AGPL-3.0
Last pushed
- eval-view
- Aug 23, 2026
- MiroFish-Offline
- Mar 24, 2026
Categories
- eval-view
- AI Agents, Evaluation & Observability
- MiroFish-Offline
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- eval-view
- Active (82%)
- MiroFish-Offline
- Slowing (36%)
Days since push
- eval-view
- 9d
- MiroFish-Offline
- 142d
Open issues (now)
- eval-view
- 4
- MiroFish-Offline
- 50
Stars delta
- eval-view
- +7 (30d)
- MiroFish-Offline
- Unknown
Open issues delta
- eval-view
- +1 (30d)
- MiroFish-Offline
- Unknown
OSV dependency advisories
- eval-view
- No lockfile (source not queried)
- MiroFish-Offline
- Published findings
Full report
- eval-view
- Trust report
- MiroFish-Offline
- Trust report
Choose eval-view if…
- License: eval-view is Apache-2.0, MiroFish-Offline is AGPL-3.0.
- Pricing: Free to use under the terms of the Apache License, Version 2.0..
- Requirements: Python environment is required for installation and usage.; Installation with pip: `pip install evalview`; Offline support means no live API keys necessary for the basic diff functionality..
- Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, regression-testing.
- When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls.
When NOT to use eval-view
- If you do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time.
- When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge.
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 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 (hidai25/eval-view) · observed Sep 2, 2026
- GitHub forks (hidai25/eval-view) · observed Sep 2, 2026
- Last push (hidai25/eval-view) · observed Aug 23, 2026
- License file (Apache-2.0) · observed Sep 2, 2026
- Decision facts (enrichment) · observed Jul 17, 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: eval-view 133 · MiroFish-Offline 2.5k (synced Sep 2, 2026).
Common questions
- What is the difference between eval-view and MiroFish-Offline?
- eval-view: Regression testing for AI agents. 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; Pricing: Free to use under the terms of the Apache License, Version 2.0.; Requirements: Python environment is required for installation and usage.; Installation with pip:
pip install evalview; Offline support means no live API keys necessary for the basic diff functionality.; Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, regression-testing; When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls. - 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 do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time. When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge.
- 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 (2,468 vs 133). 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 and MiroFish-Offline alternatives (eval-view 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, 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; MiroFish-Offline trust report.