Comparison
ECC vs AssetOpsBench
Verdict
Pick ECC when eCC is primarily JavaScript; AssetOpsBench is Python; pick AssetOpsBench when assetOpsBench is primarily Python; ECC is JavaScript.
Markdown twin · ECC alternatives · AssetOpsBench alternatives
GraphCanon updated today
Trust & integrity
| Signal | ECC | AssetOpsBench |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of 1d · mcp_manifest | No lockfile As of today · none |
Tagline
- ECC
- The agent harness performance optimization system for AI agents
- AssetOpsBench
- AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scena
Stars
- ECC
- 228k
- AssetOpsBench
- 2.0k
Forks
- ECC
- 35k
- AssetOpsBench
- 290
Open issues
- ECC
- 93
- AssetOpsBench
- 51
Language
- ECC
- JavaScript
- AssetOpsBench
- Python
Adopt for
- ECC
- ECC is a performance optimization system for AI agents built to enhance skills, instincts, memory, security, and development processes.
- AssetOpsBench
- -
Persona
- ECC
- -
- AssetOpsBench
- -
Runtime
- ECC
- -
- AssetOpsBench
- -
License
- ECC
- MIT
- AssetOpsBench
- Apache-2.0
Last pushed
- ECC
- Jul 9, 2026
- AssetOpsBench
- Jul 11, 2026
Categories
- ECC
- AI Agents, Developer Tools
- AssetOpsBench
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Days since push
- ECC
- 2d
- AssetOpsBench
- 0d
Open issues (now)
- ECC
- 93
- AssetOpsBench
- 51
Owner type
- ECC
- User
- AssetOpsBench
- Organization
Security scan
- ECC
- No MCP manifest
- AssetOpsBench
- No lockfile
Full report
- ECC
- Trust report
- AssetOpsBench
- Trust report
Choose ECC if…
- ECC is primarily JavaScript; AssetOpsBench is Python.
- License: ECC is MIT, AssetOpsBench 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: ai-agents, anthropic, claude, claude-code.
- 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 AssetOpsBench if…
- AssetOpsBench is primarily Python; ECC is JavaScript.
- License: AssetOpsBench is Apache-2.0, ECC is MIT.
- Tags unique to AssetOpsBench: ai-for-physical-assets, condition-based-maintenance, hvac-maintenance, iot.
- Also covers LLM Frameworks.
When NOT to use AssetOpsBench
- 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 (IBM/AssetOpsBench) · observed Jul 11, 2026
- GitHub forks (IBM/AssetOpsBench) · observed Jul 11, 2026
- Last push (IBM/AssetOpsBench) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ECC 228k · AssetOpsBench 2.0k (synced Jul 11, 2026).
Common questions
- What is the difference between ECC and AssetOpsBench?
- ECC: The agent harness performance optimization system for AI agents. AssetOpsBench: AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scena. See the comparison table for live GitHub stats and shared categories.
- When should I choose ECC over AssetOpsBench?
- Choose ECC over AssetOpsBench when ECC is primarily JavaScript; AssetOpsBench is Python; License: ECC is MIT, AssetOpsBench 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: ai-agents, anthropic, claude, claude-code; 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 AssetOpsBench over ECC?
- Choose AssetOpsBench over ECC when AssetOpsBench is primarily Python; ECC is JavaScript; License: AssetOpsBench is Apache-2.0, ECC is MIT; Tags unique to AssetOpsBench: ai-for-physical-assets, condition-based-maintenance, hvac-maintenance, iot; Also covers LLM Frameworks.
- 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 AssetOpsBench?
- 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 AssetOpsBench more popular on GitHub?
- ECC has more GitHub stars (228,395 vs 1,993). Stars measure visibility, not whether either tool fits your constraints.
- Are ECC and AssetOpsBench open source?
- Yes - both are open-source projects on GitHub (ECC: MIT, AssetOpsBench: Apache-2.0).
- Where can I find alternatives to ECC or AssetOpsBench?
- GraphCanon lists graph-backed alternatives at ECC alternatives and AssetOpsBench alternatives (ECC markdown twin, AssetOpsBench 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 AssetOpsBench?
- ECC: Very active. AssetOpsBench: 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 ECC and AssetOpsBench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ECC trust report; AssetOpsBench trust report.