Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-24 21:32 UTC

nautobot / nautobot-app-nornir

Nornir plugin to enable other Nautobot network automation plugins

PythonCustom license★ 27 stars⑂ 18 forkssince Feb 2021View on GitHub ↗
KindLibraryhow this is determined
#nautobot-plugin#nautobot

nautobot/nautobot-app-nornir holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (86/100) and lowest on AI Readiness (45/100). It was last updated today. 2 contributors account for most of its recent work.

88
overall / 100
Excellent

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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

NautobotOrganization · verified domain
298 followers61 public repossince Dec 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPInautobot-plugin-nornir3.2.511,384320 days agonautobotnautobot-appnautobot-plugin

Metrics by category

Vitality

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

81Excellent · 21% of overall

Development activity

75Good
How it's scored
36/36Push recency — last push 0 days ago
11.8/36Commit cadence — 17/52 weeks with commits
17/18Commit volume — 78 commits in the last year
10/10OpenSSF Scorecard: Maintained — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year78
human_commit_share0.99
days_since_last_push0
active_weeks_last_year17

Release discipline

90Excellent
How it's scored
27/27Ships releases — 28 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~36.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count28
latest_release_tagv3.2.5
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases36.4

Community & Adoption

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

57Moderate · 17% of overall

Popularity & adoption

39Weak
How it's scored
23/60Stars — 27 stars
10.3/25Forks — 18 forks
5.3/15Watchers — 10 watchers
Inputs used
forks18
stars27
watchers10
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

71Good
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, readthedocs.org, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

68Good
How it's scored
54.1/80Monthly downloads — 11,384 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesnautobot-plugin-nornir
dependents—
ecosystemspypi
total_downloads—
monthly_downloads11,384
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?

81Excellent · 23% of overall

Maintainer resilience (bus factor)

63Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.3/22.5Commit distribution — top contributor authored 37% of commits
13.5/13.5Contributor breadth — 23 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled23
top_contributor_share0.366

Issue & PR responsiveness

77Good
How it's scored
34.7/42Issue resolution — 83% of issues closed
17.5/30PR acceptance — 137/235 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs137
open_issues8
closed_issues38
prs_merged_7d4
prs_decided_7d4
prs_merged_30d4
prs_decided_30d4
issue_closed_ratio0.826
closed_unmerged_prs98
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

92Excellent
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
17.8/25Owner reach — 298 followers of nautobot
24.6/25Track record — 61 public repos, account ~5 yr old
Inputs used
followers298
owner_typeOrganization
is_verifiedyes
owner_loginnautobot
public_repos61
account_age_days2,117

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 32 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesnautobot-plugin-nornir
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

76Good
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.pylint])
0/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests — 11 out of 16 merged PRs checked by a CI test -- score normalized to 6
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://docs.nautobot.com/projects/plugin-nornir/en/latest/
10/10Repository description
10/10Topics — 2 topics
10/10Wiki
Inputs used
topicsnautobot-plugin, nautobot
has_wikiyes
homepagehttps://docs.nautobot.com/projects/plugin-nornir/en/latest/
docs_sitehttps://docs.nautobot.com/projects/plugin-nornir/en/latest/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

68Good · 16% of overall

Security posture

60Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
1.5/2.5CI-Tests — 11 out of 16 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 5 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
4.5/5Security-Policy — security policy file 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
1.5/7.5Vulnerabilities — 8 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories11
affected_packages3
assessed_packages246
unassessed_packages0
affected_by_severityhigh 2, moderate 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 246 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

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.

45Weak · 4% of overall

Agent context & guidance

28At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
28/40Legible commit history — 52 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.525
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

55Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.pylint])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
2/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0.01

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/32 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes40,594
source_files_sampled32
oversized_source_files0

Key facts

27GitHub stars
23contributors
78commits, last 12 months
0days since last push
28releases
2bus factor
8open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:nautobot-plugin-nornir@3.2.5; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 18 ⇿
0Stars
18Forks
24Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

0481216201722021-032023-102026-05
Major 3Minor 4Patch 16

Each point covers 5 days.

OpenSSF Scorecard 6.0 / 10
6.0aggregate

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 · 2026-09-24 21:31 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
6CI-Tests11 out of 16 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0SASTSAST tool is not run on all commits -- score normalized to 0
9Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
2Vulnerabilities8 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPInautobot>=3.1.0,<4.0.0pyproject.toml
PyPInornir-nautobot>=4.4.3,<5.0.0pyproject.toml
All dependencies 246

Full resolved dependency set from the GitHub dependency graph: 2 direct and 244 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPInornir-nautobot4.4.3direct
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PyPIuritemplate4.2.0indirect
PyPIurllib32.8.0indirect
PyPIvine5.1.0indirect
PyPIwatchdog6.0.0indirect
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PyPIwrapt2.4.1indirect
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PyPIyamlloader1.6.0indirect
PyPIyarl1.25.1indirect
Dependency advisories 3

This repository publishes no package the index resolves, so its own dependency graph was assessed — 246 packages, which also include development and test pins that never ship: 3 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pymdown-extensions10.21.3indirecthigh411.0.1
social-auth-core4.9.1indirecthigh55.0.0
mkdocs-material9.5.32indirectmoderate29.7.7

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.

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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 v0.34.0 — full methodology · metrics wiki.

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