Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 00:05 UTC

erwindouna / pyportainer

Asynchronous Python client for the Portainer API, including an image watcher and event listener.

PythonMIT★ 9 stars⑂ 4 forkssince Apr 2025View on GitHub ↗
KindLibraryhow this is determined

erwindouna/pyportainer holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (99/100) and lowest on Community & Adoption (53/100). It was last updated today. A single contributor accounts 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

Erwin DounaPersonal account
37 followers32 public repossince Jul 2013

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpyportainer1.0.45-5318 days agoapiasyncclientpython-portainer

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 0 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 559 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year559
human_commit_share0.49
days_since_last_push0
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 54 releases published
36/36Release recency — latest release 18 days ago
27/27Release cadence — a release every ~16.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count54
latest_release_tagv1.0.45
releases_from_tagsno
days_since_latest_release18
mean_days_between_releases16.2
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

53Moderate · 17% of overall

Popularity & adoption

19Critical
How it's scored
14.6/60Stars — 9 stars
4/25Forks — 4 forks
0/15Watchers — 1 watchers
Inputs used
forks4
stars9
watchers1
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
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

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

60Moderate · 23% of overall

Maintainer resilience (bus factor)

18Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.3/22.5Commit distribution — top contributor authored 99% of commits
5.4/13.5Contributor breadth — 4 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled4
top_contributor_share0.986

Issue & PR responsiveness

82Excellent
How it's scored
42/42Issue resolution — 100% of issues closed
29.3/30PR acceptance — 379/388 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/6 approved changesets -- score normalized to 0
Inputs used
merged_prs379
open_issues0
closed_issues3
prs_merged_7d0
prs_decided_7d0
prs_merged_30d5
prs_decided_30d5
issue_closed_ratio1
closed_unmerged_prs9
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

56Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
11.4/25Owner reach — 37 followers of erwindouna
23.1/25Track record — 32 public repos, account ~13 yr old
Inputs used
followers37
owner_typeUser
is_verified—
owner_loginerwindouna
public_repos32
account_age_days4,809
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 18 days ago
20/20Version history — 53 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespyportainer
ecosystemspypi
any_deprecatedno
min_days_since_publish18

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.pylint]), ruff.toml
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 21 out of 21 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/erwindouna/pyportainer
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://github.com/erwindouna/pyportainer
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall

Security posture

57Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 21 out of 21 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/6 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.7
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
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_packages13
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:pyportainer@1.0.45 runtime dependency closure — what installing the published package pulls in — 13 packages. 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.

68Good · 4% of overall

Agent context & guidance

53Moderate
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.portainer.io/llms.txt)
38.1/40Legible commit history — 35 of 49 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.portainer.io/llms.txt
legible_history_share0.714
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

62Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.pylint]), ruff.toml
11/11Static type checking — src/pyportainer/py.typed
10/10Reproducible environment — devcontainer, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 51 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontaineryes
has_linter_configyes
typecheck_configssrc/pyportainer/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.51

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/pyportainer/py.typed)
55/55Manageable file sizes — 0/21 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes42,271
source_files_sampled21
oversized_source_files0

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

9GitHub stars
4contributors
559commits, last 12 months
0days since last push
54releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'pyportainer' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 4 ⇿
0Stars
4Forks
41Releases

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.

1223344412025-042025-102026-04
Major 1Minor 0Patch 40
OpenSSF Scorecard 5.7 / 10
5.7aggregate

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 · 2026-09-15 00:04 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests21 out of 21 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/6 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIaiohttp>=3.0.0pyproject.toml
PyPIyarl>=1.6.0pyproject.toml
PyPImashumaro>=3.17,<4pyproject.toml
PyPIorjson>=3.10.16,<4pyproject.toml
PyPItenacity>=9.0.0pyproject.toml
All dependencies 92

Full resolved dependency set from the GitHub dependency graph: 5 direct and 87 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttp3.14.3direct
PyPImashumaro3.22direct
PyPIorjson3.12.0direct
PyPItenacity9.1.4direct
PyPIyarl1.24.5direct
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.8.0indirect
PyPIaresponses3.0.0indirect
PyPIargcomplete3.7.2indirect
PyPIast-serialize0.8.0indirect
PyPIastroid4.0.4indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackrefs8.0indirect
PyPIblack26.5.1indirect
PyPIcertifi2026.7.22indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.4.2indirect
PyPIcodespell2.4.3indirect
PyPIcolorama0.4.6indirect
PyPIcovdefaults2.3.0indirect
PyPIcoverage7.15.4indirect
PyPIdatamodel-code-generator0.74.0indirect
PyPIdill0.4.1indirect
PyPIdistlib0.4.3indirect
PyPIfilelock3.32.4indirect
PyPIfreezegun1.5.5indirect
PyPIfrozenlist1.8.0indirect
PyPIgenson1.4.0indirect
PyPIghp-import2.1.0indirect
PyPIgriffelib2.2.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.19indirect
PyPIinflect7.5.0indirect
PyPIiniconfig2.3.0indirect
PyPIisort8.0.1indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.15.0indirect
PyPImarkdown3.10.3indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocstrings1.0.6indirect
PyPImkdocstrings-python2.0.7indirect
PyPImore-itertools11.1.0indirect
PyPImultidict6.7.1indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.3indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.11.4indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpre-commit-hooks6.0.0indirect
PyPIpropcache0.5.2indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.21.0indirect
PyPIpylint4.0.7indirect
PyPIpymdown-extensions11.0.2indirect
PyPIpyportainer1.0.45indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.5.3indirect
PyPIpytokens0.4.1indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrequests2.34.2indirect
PyPIruamel-yaml0.19.1indirect
PyPIruff0.16.4indirect
PyPIsix1.17.0indirect
PyPIsyrupy5.5.3indirect
PyPItomli2.4.1indirect
PyPItomlkit0.15.1indirect
PyPItypeguard4.6.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.7.5indirect
PyPIwatchdog6.0.0indirect
PyPIyamllint1.38.0indirect
Dependency advisories 0

Installing pypi:pyportainer@1.0.45 pulls in 13 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

Feedback

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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.