Comparison
ECC vs eval-view
Verdict
Pick ECC when eCC is primarily JavaScript; eval-view is Python; pick eval-view when eval-view is primarily Python; ECC is JavaScript.
Markdown twin · ECC alternatives · eval-view alternatives
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Trust & integrity
| Signal | ECC | eval-view |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1d · github_public_v1 | Active (8d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of 1d · mcp_manifest | 1 medium (1 medium) As of today · mcp_manifest@v1 |
Tagline
- ECC
- The agent harness performance optimization system for AI agents
- eval-view
- Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.
Stars
- ECC
- 228k
- eval-view
- 122
Forks
- ECC
- 35k
- eval-view
- 21
Open issues
- ECC
- 93
- eval-view
- 6
Language
- ECC
- JavaScript
- eval-view
- Python
Adopt for
- ECC
- ECC is a performance optimization system for AI agents built to enhance skills, instincts, memory, security, and development processes.
- eval-view
- -
Persona
- ECC
- -
- eval-view
- -
Runtime
- ECC
- -
- eval-view
- -
License
- ECC
- MIT
- eval-view
- Apache-2.0
Last pushed
- ECC
- Jul 9, 2026
- eval-view
- Jul 3, 2026
Categories
- ECC
- AI Agents, Developer Tools
- eval-view
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Maintenance
- ECC
- Very active (96%)
- eval-view
- Active (82%)
Days since push
- ECC
- 2d
- eval-view
- 8d
Open issues (now)
- ECC
- 93
- eval-view
- 6
Security scan
- ECC
- No MCP manifest
- eval-view
- 1 medium (1 medium)
Full report
- ECC
- Trust report
- eval-view
- Trust report
Choose ECC if…
- ECC is primarily JavaScript; eval-view is Python.
- License: ECC is MIT, eval-view is Apache-2.0.
- ECC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data.
- Pricing: Being open source with an MIT license, ECC itself is free to use, but additional features or support might incur costs outside of the core project..
- Tags unique to ECC: claude, claude-code, llm, productivity.
- When you are specifically working with AI agents like Claude Code and Codex that require advanced performance tuning across multiple dimensions such as skills and memory management.
When NOT to use ECC
- For projects focusing solely on traditional software development workflows without AI components, ECC's specialized tools are not necessary.
- In scenarios where you're working with closed-source or proprietary AI systems that do not allow for the same levels of customization as open platforms like those optimized by ECC.
Choose eval-view if…
- eval-view is primarily Python; ECC is JavaScript.
- License: eval-view is Apache-2.0, ECC is MIT.
- Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, autogen.
- Also covers LLM Frameworks.
- eval-view ships Docker support for self-hosted deployment.
When NOT to use eval-view
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (affaan-m/ECC) · observed Jul 11, 2026
- GitHub forks (affaan-m/ECC) · observed Jul 11, 2026
- Last push (affaan-m/ECC) · observed Jul 9, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (hidai25/eval-view) · observed Jul 11, 2026
- GitHub forks (hidai25/eval-view) · observed Jul 11, 2026
- Last push (hidai25/eval-view) · observed Jul 3, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ECC 228k · eval-view 122 (synced Jul 11, 2026).
Common questions
- What is the difference between ECC and eval-view?
- ECC: The agent harness performance optimization system for AI agents. eval-view: Regression testing for AI agents. Snapshot behavior,diff tool calls,catch regressions in CI. Works with LangGraph, CrewAI, OpenAI, Anthropic.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ECC over eval-view?
- Choose ECC over eval-view when ECC is primarily JavaScript; eval-view is Python; License: ECC is MIT, eval-view is Apache-2.0; ECC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data; Pricing: Being open source with an MIT license, ECC itself is free to use, but additional features or support might incur costs outside of the core project.; Tags unique to ECC: claude, claude-code, llm, productivity; When you are specifically working with AI agents like Claude Code and Codex that require advanced performance tuning across multiple dimensions such as skills and memory management.
- When should I choose eval-view over ECC?
- Choose eval-view over ECC when eval-view is primarily Python; ECC is JavaScript; License: eval-view is Apache-2.0, ECC is MIT; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, autogen; Also covers LLM Frameworks; eval-view ships Docker support for self-hosted deployment.
- When should I avoid ECC?
- For projects focusing solely on traditional software development workflows without AI components, ECC's specialized tools are not necessary. In scenarios where you're working with closed-source or proprietary AI systems that do not allow for the same levels of customization as open platforms like those optimized by ECC.
- When should I avoid eval-view?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is ECC or eval-view more popular on GitHub?
- ECC has more GitHub stars (228,395 vs 122). Stars measure visibility, not whether either tool fits your constraints.
- Are ECC and eval-view open source?
- Yes - both are open-source projects on GitHub (ECC: MIT, eval-view: Apache-2.0).
- Where can I find alternatives to ECC or eval-view?
- GraphCanon lists graph-backed alternatives at ECC alternatives and eval-view alternatives (ECC 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, ECC or eval-view?
- ECC: 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 ECC and eval-view?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ECC trust report; eval-view trust report.