Public record
Software health reportschema 0.16.0 · metrics 1.13.0 · 2026-07-21 02:59 UTC

AgentOps-AI / agentops

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

Python · TypeScriptMIT★ 5,716 stars⑂ 610 forkssince Aug 2023View on GitHub ↗
#agent#agentops#ai#evals#evaluation-metrics#llm#anthropic#autogen#cost-estimation#crewai#groq#langchain#mistral#ollama#openai#agents-sdk#openai-agents

AgentOps-AI/agentops holds a health index of 71 out of 100, placing it in the Good band. It scores highest on Engineering Quality (95/100) and lowest on Security (21/100). It was last updated 25 days ago. 3 contributors account for most of its recent work.

71
overall / 100
Good

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

71
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

Ownership

AgentOpsOrganization
490 followers28 public repossince Jul 2023

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIagentops0.4.21-105325 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

65Moderate · 22% of overall

Development activity

57Moderate
How it's scored
28.8/36Push recency — last push 25 days ago
7.6/36Commit cadence — 11/52 weeks with commits
15.1/18Commit volume — 47 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year47
human_commit_share—
days_since_last_push25
active_weeks_last_year11

Release discipline

78Good
How it's scored
27/27Ships releases — 100 releases published
16.2/36Release recency — latest release 325 days ago
27/27Release cadence — a release every ~11.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tag0.4.21
releases_from_tagsno
days_since_latest_release325
mean_days_between_releases11.7

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

93Excellent · 18% of overall

Popularity & adoption

93Excellent
How it's scored
60/60Stars — 5,716 stars
23.2/25Forks — 610 forks
9.4/15Watchers — 50 watchers
Inputs used
forks610
stars5,716
watchers50
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingyes
has_issue_templateno
has_code_of_conductyes
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

75Good · 24% of overall

Maintainer resilience (bus factor)

72Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
15.7/22.5Commit distribution — top contributor authored 30% of commits
13.5/13.5Contributor breadth — 49 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor3
contributors_sampled49
top_contributor_share0.304

Issue & PR responsiveness

76Good
How it's scored
34.7/46.8Issue resolution — 74% of issues closed
29.7/38.3PR acceptance — 653/841 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs653
open_issues114
closed_issues330
issue_closed_ratio0.743
closed_unmerged_prs188

Ownership & stewardship

66Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
19.3/25Owner reach — 490 followers of AgentOps-AI
16.6/25Track record — 28 public repos, account ~2 yr old
Inputs used
followers490
owner_typeOrganization
is_verified—
owner_loginAgentOps-AI
public_repos28
account_age_days1,091

Package maintenance

91Excellent
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
26/35Publish recency — latest publish 325 days ago
20/20Version history — 105 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesagentops
ecosystemspypi
any_deprecatedno
min_days_since_publish325

Engineering Quality

Are baseline engineering and documentation practices in place?

95Excellent · 20% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 9 workflow(s)
24/24Tests present
16/16Linter config — .eslintrc.json, ruff.toml
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://agentops.ai
10/10Repository description
10/10Topics — 17 topics
10/10Wiki
Inputs used
topicsagent, agentops, ai, evals, evaluation-metrics, llm, anthropic, autogen, cost-estimation, crewai, groq, langchain, mistral, ollama, openai, agents-sdk, openai-agents
has_wikiyes
homepagehttps://agentops.ai
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

21Critical · 16% of overall

Security posture

1Critical
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilesbun.lockb, package-lock.json, uv.lock
manifestsapp/package.json, app/pyproject.toml, app/requirements-dev.txt, docs/package.json, pyproject.toml
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

Dependency advisories

100Excellent
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages33
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:agentops@0.4.21 runtime dependency closure — what installing the published package pulls in — 33 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

69Moderate · 0% of overall

Agent context & guidance

25Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt present
0/40Legible commit history — no data
Inputs used
has_llms_txtyes
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

100Excellent
How it's scored
18/18One-command bootstrap — app/api/justfile, app/justfile
22/22Automated tests
11/11Lint / format config — .eslintrc.json, ruff.toml
11/11Static type checking — app/dashboard/tsconfig.json, app/landing/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilesbun.lockb, package-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesapp/api/justfile, app/justfile
has_devcontainerno
has_linter_configyes
typecheck_configsapp/dashboard/tsconfig.json, app/landing/tsconfig.json
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

82Good
How it's scored
27/45Type-checkable code — Python with type-check config (app/dashboard/tsconfig.json, app/landing/tsconfig.json)
54.9/55Manageable file sizes — 1/887 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes86,538
source_files_sampled887
oversized_source_files1

Machine-readable interfaces

60Moderate
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalyes
api_schema_files—

Key facts

5,716GitHub stars
49contributors
47commits, last 12 months
25days since last push
100releases
3bus factor
114open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Could not fetch pypi package 'agentops-dev' from its registry
  • OpenSSF Scorecard did not return a usable result (2026/07/21 02:58:51 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

More detail

Direct dependencies 19
RegistryPackageVersion constraintManifest
PyPIrequests>=2.0.0,<3.0.0pyproject.toml
PyPIpsutil>=5.9.8,<7.0.1pyproject.toml
PyPItermcolor>=2.3.0,<2.5.0pyproject.toml
PyPIPyYAML>=5.3,<7.0pyproject.toml
PyPIpackaging>=21.0,<25.0pyproject.toml
PyPIhttpx>=0.24.0,<0.29.0pyproject.toml
PyPIaiohttp>=3.8.0,<4.0.0pyproject.toml
PyPIopentelemetry-sdk==1.29.0pyproject.toml
PyPIopentelemetry-sdk>1.29.0pyproject.toml
PyPIopentelemetry-api==1.29.0pyproject.toml
PyPIopentelemetry-api>1.29.0pyproject.toml
PyPIopentelemetry-exporter-otlp-proto-http==1.29.0pyproject.toml
PyPIopentelemetry-exporter-otlp-proto-http>1.29.0pyproject.toml
PyPIordered-set>=4.0.0,<5.0.0pyproject.toml
PyPIwrapt>=1.0.0,<2.0.0pyproject.toml
PyPIopentelemetry-instrumentation==0.50b0pyproject.toml
PyPIopentelemetry-instrumentation>=0.50b0pyproject.toml
PyPIopentelemetry-semantic-conventions==0.50b0pyproject.toml
PyPIopentelemetry-semantic-conventions>=0.50b0pyproject.toml
All dependencies 574

Full resolved dependency set from the GitHub dependency graph: 10 direct and 564 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPItokencost—indirect
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PyPIuvloop—indirect
PyPIwerkzeug—indirect
PyPIwikipedia-api—indirect
Dependency advisories 0

Installing pypi:agentops@0.4.21 pulls in 33 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable
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        ],
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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          {
            "key": "security_posture",
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                "code": "excluded_no_data",
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              },
              {
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            "value": 1,
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            ]
          },
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          },
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                "max_points": 100
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            ]
          },
          {
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                "code": "jurisdiction_evidence_limits",
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            ],
            "value": 100,
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                ],
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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      {
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        "weight": 0,
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            "value": 25,
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            "components": [
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                "key": "agent_instructions",
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                "max_points": 45
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              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": "llms.txt present",
                "points": 15,
                "status": "met",
                "details": [
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                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "excellent",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "bun.lockb",
                "package-lock.json",
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [
                "app/api/justfile",
                "app/justfile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "app/dashboard/tsconfig.json",
                "app/landing/tsconfig.json"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "app/api/justfile, app/justfile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "app/api/justfile, app/justfile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": ".eslintrc.json, ruff.toml",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".eslintrc.json, ruff.toml"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "app/dashboard/tsconfig.json, app/landing/tsconfig.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "app/dashboard/tsconfig.json, app/landing/tsconfig.json"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 86538,
              "source_files_sampled": 887,
              "oversized_source_files": 1
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (app/dashboard/tsconfig.json, app/landing/tsconfig.json)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "app/dashboard/tsconfig.json, app/landing/tsconfig.json",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "1/887 source files over 60KB",
                "points": 54.9,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 887,
                      "oversized": 1
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "moderate",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 60,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "has_mcp_signal": true,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Could not fetch pypi package 'agentops-dev' from its registry",
    "OpenSSF Scorecard did not return a usable result (2026/07/21 02:58:51 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T02:59:40.155805Z",
  "schema_version": "0.16.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/AgentOps-AI/agentops.svg",
  "full_name": "AgentOps-AI/agentops",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.16.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.