Comparison
edsl vs eval-view
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 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.
Markdown twin · edsl alternatives · eval-view alternatives
GraphCanon updated Sep 20, 2026
7views this month
Trust & integrity
| Signal | edsl | eval-view |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Active (13d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- edsl
- Framework for designing and analyzing AI-powered surveys and experiments
- eval-view
- Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI
Stars
- edsl
- 497
- eval-view
- 134
Forks
- edsl
- 84
- eval-view
- 24
Open issues
- edsl
- 47
- eval-view
- 2
Language
- edsl
- Python
- eval-view
- 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.
- eval-view
- 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
Persona
- edsl
- -
- eval-view
- -
Runtime
- edsl
- -
- eval-view
- -
License
- edsl
- MIT
- eval-view
- Apache-2.0
Last pushed
- edsl
- Sep 18, 2026
- eval-view
- Sep 5, 2026
Categories
- edsl
- AI Agents, Evaluation & Observability, Model Training
- eval-view
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- edsl
- Very active (96%)
- eval-view
- Active (82%)
Days since push
- edsl
- 1d
- eval-view
- 13d
Open issues (now)
- edsl
- 47
- eval-view
- 2
Stars delta
- edsl
- +14 (30d)
- eval-view
- +8 (30d)
Open issues delta
- edsl
- +5 (30d)
- eval-view
- -1 (30d)
Owner type
- edsl
- Organization
- eval-view
- User
Full report
- edsl
- Trust report
- eval-view
- Trust report
Shared compatibility
- Python · edsl: Python runtime · eval-view: Python runtime
Choose edsl if…
- License: edsl is MIT, eval-view is Apache-2.0.
- Tags unique to edsl: data-labeling, domain-specific-language, llm-agent, market-research.
- 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 eval-view if…
- License: eval-view is Apache-2.0, edsl is MIT.
- Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents.
- eval-view ships Docker support for self-hosted deployment.
- When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic.
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.
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 Sep 20, 2026
- GitHub forks (expectedparrot/edsl) · observed Sep 20, 2026
- Last push (expectedparrot/edsl) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (hidai25/eval-view) · observed Sep 20, 2026
- GitHub forks (hidai25/eval-view) · observed Sep 20, 2026
- Last push (hidai25/eval-view) · observed Sep 5, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: edsl 497 · eval-view 134 (synced Sep 20, 2026).
Common questions
- What is the difference between edsl and eval-view?
- edsl: Framework for designing and analyzing AI-powered surveys and experiments. eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. See the comparison table for live GitHub stats and shared categories.
- When should I choose edsl over eval-view?
- Choose edsl over eval-view when License: edsl is MIT, eval-view is Apache-2.0; Tags unique to edsl: data-labeling, domain-specific-language, llm-agent, market-research; 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 eval-view over edsl?
- Choose eval-view over edsl when License: eval-view is Apache-2.0, edsl is MIT; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents; eval-view ships Docker support for self-hosted deployment; When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic.
- 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 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.
- Is edsl or eval-view more popular on GitHub?
- edsl has more GitHub stars (497 vs 134). Stars measure visibility, not whether either tool fits your constraints.
- Are edsl and eval-view open source?
- Yes - both are open-source projects on GitHub (edsl: MIT, eval-view: Apache-2.0).
- Where can I find alternatives to edsl or eval-view?
- GraphCanon lists graph-backed alternatives at edsl alternatives and eval-view alternatives (edsl markdown twin, eval-view 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 eval-view?
- edsl: Very active. eval-view: 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 edsl and eval-view?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: edsl trust report; eval-view trust report.