Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 03:34 UTC

DataDog / datadog-agent-dev

Tool for developing on the Datadog Agent platform

PythonMIT★ 8 stars⑂ 6 forkssince Sep 2024View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#datadog#datadog-agent#cli#python#tooling

DataDog/datadog-agent-dev holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (89/100) and lowest on Community & Adoption (48/100). It was last updated today. A single contributor accounts for most of its recent work.

78
overall / 100
Good

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

78
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe 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.

The weighted overall 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

Datadog, Inc.Organization
3,222 followers1,194 public repossince Aug 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdda0.36.1143,058577 days agoagentdatadog

Metrics by category

Vitality

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

89Excellent · 21% of overall

Development activity

88Excellent
How it's scored
36/36Push recency — last push 0 days ago
23.5/36Commit cadence — 34/52 weeks with commits
18/18Commit volume — 101 commits in the last year
10/10OpenSSF Scorecard: Maintained — 26 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year101
human_commit_share—
days_since_last_push0
active_weeks_last_year34

Release discipline

90Excellent
How it's scored
27/27Ships releases — 62 releases published
36/36Release recency — latest release 7 days ago
27/27Release cadence — a release every ~24.8 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count62
latest_release_tagv0.36.1
releases_from_tagsno
days_since_latest_release7
mean_days_between_releases24.8

Community & Adoption

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

48Weak · 17% of overall

Popularity & adoption

23At Risk
How it's scored
13.7/60Stars — 8 stars
5.8/25Forks — 6 forks
3.9/15Watchers — 6 watchers
Inputs used
forks6
stars8
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

86Excellent
How it's scored
68.7/80Monthly downloads — 143,058 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdda
dependents—
ecosystemspypi
total_downloads—
monthly_downloads143,058
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

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

67Good · 23% of overall

Maintainer resilience (bus factor)

38Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.9/22.5Commit distribution — top contributor authored 74% of commits
13.5/13.5Contributor breadth — 19 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled19
top_contributor_share0.738

Issue & PR responsiveness

41Weak
How it's scored
0/42Issue resolution — 0% of issues closed
26.5/30PR acceptance — 249/282 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-Review — Found 17/28 approved changesets -- score normalized to 6
Inputs used
merged_prs249
open_issues2
closed_issues0
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0
closed_unmerged_prs33
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
25/25Owner reach — 3,222 followers of DataDog
25/25Track record — 1,194 public repos, account ~15 yr old
Inputs used
followers3,222
owner_typeOrganization
is_verified—
owner_loginDataDog
public_repos1,194
account_age_days5,814
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 7 days ago
20/20Version history — 57 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdda
ecosystemspypi
any_deprecatedno
min_days_since_publish7

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall

Engineering practices

64Moderate
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 1 out of 30 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://datadoghq.dev/datadog-agent-dev/
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicsdatadog, datadog-agent, cli, python, tooling
has_wikino
homepagehttp://datadoghq.dev/datadog-agent-dev/
docs_sitehttp://datadoghq.dev/datadog-agent-dev/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

52Moderate · 16% of overall

Security posture

52Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — 1 out of 30 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
4.5/7.5Code-Review — Found 17/28 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 26 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 97 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.2

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

67Good · 4% of overall

Agent context & guidance

30At Risk
How it's scored
18/45Agent instructions — tests/cli/validate/fixtures/ai_rules/out_of_sync/CLAUDE.md (stub)
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_filestests/cli/validate/fixtures/ai_rules/out_of_sync/CLAUDE.md
agent_instruction_max_bytes12
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

77Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — ruff.toml
11/11Static type checking — src/dda/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/dda/py.typed
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

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/dda/py.typed)
54.8/55Manageable file sizes — 1/253 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes62,597
source_files_sampled253
oversized_source_files1

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

8GitHub stars
19contributors
101commits, last 12 months
0days since last push
62releases
1bus factor
2open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 5.2 / 10
5.2aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-07-17 03:34 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests1 out of 30 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 17/28 approved changesets -- score normalized to 6
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained26 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities97 existing vulnerabilities detected
Direct dependencies 25
RegistryPackageVersion constraintManifest
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PyPIbinary~=1.0.2pyproject.toml
PyPIboto3~=1.38.8pyproject.toml
PyPIclick~=8.1pyproject.toml
PyPIdatadog-api-client~=2.46pyproject.toml
PyPIdep-sync~=0.1pyproject.toml
PyPIfilelock~=3.18pyproject.toml
PyPIfind-exe~=0.1pyproject.toml
PyPIhttpx~=0.28.1pyproject.toml
PyPIhvac~=2.3.0pyproject.toml
PyPIkeyring~=25.6.0pyproject.toml
PyPImsgspec~=0.18pyproject.toml
PyPImsgspec-click~=0.2pyproject.toml
PyPIpackaging—pyproject.toml
PyPIplatformdirs~=4.3pyproject.toml
PyPIpsutil~=7.0pyproject.toml
PyPIpyjson5~=1.6.9pyproject.toml
PyPIpywinpty~=3.0.3pyproject.toml
PyPIrich~=14.0pyproject.toml
PyPIrich-click~=1.8.9pyproject.toml
PyPItomlkit~=0.13pyproject.toml
PyPItruststore~=0.10.1pyproject.toml
PyPItyping-extensions>=4.6.0pyproject.toml
PyPIuv~=0.11.24pyproject.toml
PyPIwatchfiles~=1.1.1pyproject.toml
All dependencies 202

Full resolved dependency set from the GitHub dependency graph: 25 direct and 177 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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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 v2.10.0, schema v0.11.0 — full methodology · metrics wiki.

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