A well-known project done right. Strong docs and solid engineering throughout.
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+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
Documentation
97
README documents how to install the project.
README is present.
Licensed under Apache-2.0.
Contributing guide is detailed and thorough.
Engineering
75
No linter or formatter configured.
→ Add [tool.ruff] to pyproject.toml. Ruff handles linting and formatting in one tool and replaces flake8, isort, and black.
CI is configured (.github/workflows/guard-couchdb-data.yml).
Lockfile present (uv.lock). Installs are reproducible.
Test files detected (src/agent/claude_agent/tests).
Issue or PR templates present.
Project health
96
Dependency manifest found (pyproject.toml).
Repository has a description.
Actively maintained (pushed within the last month).
.gitignore present.
Repository health signals
Activity, community, and responsiveness at scan time
Activity
- —Commits (30d / 90d)
- 279Forks
- 0Releases
Community
- —Community health
- —authors own >50% of commits
- 1,877Watchers
Responsiveness
- 24hMedian issue response
- 1hMedian PR merge time
- 42Open issues
Repository files22 root entries
- .githubGood: CI is configured (.github/workflows/guard-couchdb-data.yml).Good: Issue or PR templates present.
- benchmarks
- docs
- scripts
- srcGood: Test files detected (src/agent/claude_agent/tests).Good: Environment pinned via src/couchdb/docker-compose.yaml.
- .all-contributorsrc
- .env.public
- .gitignoreGood: .gitignore present.
- .gitleaks.toml
- .gitleaksignore
- .pre-commit-config.yaml
- .python-version
- .secrets.baseline
- .whitesource
- CONTRIBUTING.mdGood: Contributing guide is detailed and thorough.Good: Contributing guide includes setup/install instructions.Good: Contributing guide describes code style expectations.Good: Contributing guide explains how to run tests.Good: Contributing guide describes the PR/review workflow.Good: Contributing guide includes code examples.
- INSTRUCTIONS.md
- LICENSEGood: Licensed under Apache-2.0.
- pyproject.tomlGood: Dependency manifest found (pyproject.toml).
- README.mdGood: README is present.Good: README is well structured with multiple sections.Good: README includes screenshots or visuals. Great for first impressions.Good: README has code examples.Good: README links to a live demo or deployed app.Good: README includes status badges.Good: README documents how to install the project.Good: README documents how to run the project.
- renovate.json
- SECRET_SCANNING_SETUP.md
- uv.lockGood: Lockfile present (uv.lock). Installs are reproducible.