Comparison
eval-view vs imcodes
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 imcodes if imcodes provides shared context and memory for AI agents with supervised execution across multiple providers like Claude, Codex, Gemini, and OpenAI.
Markdown twin · eval-view alternatives · imcodes alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | eval-view | imcodes |
|---|---|---|
| Maintenance | Active (13d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) 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, snapshots behavior, diffs tool calls, catches regressions in CI
- imcodes
- Shared Agent Context & Memory with Supervised Execution
Stars
- eval-view
- 134
- imcodes
- 973
Forks
- eval-view
- 24
- imcodes
- 121
Open issues
- eval-view
- 2
- imcodes
- 2
Language
- eval-view
- Python
- imcodes
- TypeScript
Adopt for
- 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
- imcodes
- imcodes provides shared context and memory for AI agents with supervised execution across multiple providers like Claude, Codex, Gemini, and OpenAI.
Persona
- eval-view
- -
- imcodes
- -
Runtime
- eval-view
- -
- imcodes
- -
License
- eval-view
- Apache-2.0
- imcodes
- Available under the MIT License, permitting free use, modification, distribution, but not liable for any damages or problems derived from its usage.
Last pushed
- eval-view
- Sep 5, 2026
- imcodes
- Sep 20, 2026
Categories
- eval-view
- AI Agents, Evaluation & Observability
- imcodes
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- eval-view
- Active (82%)
- imcodes
- Very active (96%)
Days since push
- eval-view
- 13d
- imcodes
- 0d
Stars delta
- eval-view
- +8 (30d)
- imcodes
- -43 (30d)
Open issues delta
- eval-view
- -1 (30d)
- imcodes
- +2 (30d)
Full report
- eval-view
- Trust report
- imcodes
- Trust report
Choose eval-view if…
- eval-view is primarily Python; imcodes is TypeScript.
- License: eval-view is Apache-2.0, imcodes is MIT.
- Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, anthropic.
- 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.
Choose imcodes if…
- imcodes is primarily TypeScript; eval-view is Python.
- License: imcodes is MIT, eval-view is Apache-2.0.
- Requirements: Developed using TypeScript, potentially requiring a development team familiar with TypeScript and node.js ecosystems..
- Tags unique to imcodes: automation, claude, codex, cross-agent-audit.
- imcodes ships an MCP server manifest.
- When you need to manage unified memory and context across different AI agent providers for consistent performance evaluation and inter-agent cooperation.
When NOT to use imcodes
- If your project strictly requires proprietary tooling that does not allow cross-provider usage or if you aim to avoid external memory management for security reasons.
- When the integration complexity of supporting multiple providers is a barrier, and you prefer simpler, single-provider solutions with less overhead in terms of setup and maintenance.
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 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 (im4codes/imcodes) · observed Sep 20, 2026
- GitHub forks (im4codes/imcodes) · observed Sep 20, 2026
- Last push (im4codes/imcodes) · observed Sep 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: eval-view 134 · imcodes 973 (synced Sep 20, 2026).
Common questions
- What is the difference between eval-view and imcodes?
- eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. imcodes: Shared Agent Context & Memory with Supervised Execution. See the comparison table for live GitHub stats and shared categories.
- When should I choose eval-view over imcodes?
- Choose eval-view over imcodes when eval-view is primarily Python; imcodes is TypeScript; License: eval-view is Apache-2.0, imcodes is MIT; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, anthropic; 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 imcodes over eval-view?
- Choose imcodes over eval-view when imcodes is primarily TypeScript; eval-view is Python; License: imcodes is MIT, eval-view is Apache-2.0; Requirements: Developed using TypeScript, potentially requiring a development team familiar with TypeScript and node.js ecosystems.; Tags unique to imcodes: automation, claude, codex, cross-agent-audit; imcodes ships an MCP server manifest; When you need to manage unified memory and context across different AI agent providers for consistent performance evaluation and inter-agent cooperation.
- 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 imcodes?
- If your project strictly requires proprietary tooling that does not allow cross-provider usage or if you aim to avoid external memory management for security reasons. When the integration complexity of supporting multiple providers is a barrier, and you prefer simpler, single-provider solutions with less overhead in terms of setup and maintenance.
- Is eval-view or imcodes more popular on GitHub?
- imcodes has more GitHub stars (973 vs 134). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and imcodes open source?
- Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, imcodes: MIT).
- Where can I find alternatives to eval-view or imcodes?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and imcodes alternatives (eval-view markdown twin, imcodes 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 imcodes?
- eval-view: Active. imcodes: Very 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 eval-view and imcodes?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; imcodes trust report.