Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 07:45 UTC

4n4nd / prometheus-api-client-python

A python wrapper for the prometheus http api

PythonMIT★ 277 stars⑂ 90 forkssince Mar 2019View on GitHub ↗

4n4nd/prometheus-api-client-python holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (89/100) and lowest on Vitality (53/100). It was last updated 56 days ago. 3 contributors account for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

Anand SanmukhaniPersonal account
26 followers96 public repossince Sep 2016Microsoft

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 publish
PyPIprometheus-api-client0.7.21,553,60122157 days ago

Metrics by category

Vitality

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

53Moderate · 21% of overall
How it's scored
18/36Push recency — last push 56 days ago
4.8/36Commit cadence — 7/52 weeks with commits
13.6/18Commit volume — 32 commits in the last year
3/10OpenSSF Scorecard: Maintained — 4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3
Inputs used
commits_last_year32
human_commit_share0.71
days_since_last_push56
active_weeks_last_year7
How it's scored
27/27Ships releases — 16 releases published
27/36Release recency — latest release 157 days ago
12.6/27Release cadence — a release every ~141.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count16
latest_release_tagv0.7.2
releases_from_tagsno
days_since_latest_release157
mean_days_between_releases141.2
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?

66Good · 17% of overall
How it's scored
39.6/60Stars — 277 stars
16.2/25Forks — 90 forks
3.9/15Watchers — 6 watchers
Inputs used
forks90
stars277
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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_badges3
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, shields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads — 1,553,601 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesprometheus-api-client
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,553,601
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?

76Good · 23% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
15.5/22.5Commit distribution — top contributor authored 31% of commits
13.5/13.5Contributor breadth — 40 contributors
10/10OpenSSF Scorecard: Contributors — project has 19 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled40
top_contributor_share0.312
How it's scored
37.5/42Issue resolution — 89% of issues closed
24.4/30PR acceptance — 174/214 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
6/15OpenSSF Scorecard: Code-Review — Found 7/15 approved changesets -- score normalized to 4
Inputs used
merged_prs174
open_issues12
closed_issues100
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.893
closed_unmerged_prs40
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.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
10.3/25Owner reach — 26 followers of 4n4nd
25/25Track record — 96 public repos, account ~9 yr old
Inputs used
followers26
owner_typeUser
is_verified—
owner_login4n4nd
public_repos96
account_age_days3,648
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 157 days ago
20/20Version history — 22 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesprometheus-api-client
ecosystemspypi
any_deprecatedno
min_days_since_publish157

Engineering Quality

Are baseline engineering and documentation practices in place?

89Excellent · 19% of overall
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.black])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 22 out of 23 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 10 topics
10/10Wiki
Inputs used
topicsprometheus-metrics, prometheus, prometheus-api, artificial-intelligence, metrics-data, metrics-fetched, series-data, metrics-processing, collects-metrics, hacktoberfest
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

62Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 22 out of 23 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5Code-Review — Found 7/15 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 19 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
2.5/2.5License — license file detected
2.2/7.5Maintained — 4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4.5/5SAST — SAST tool detected but not 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
0.8/7.5Vulnerabilities — 9 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.3
Excluded from scoring (no data or not applicable): Branch-Protection, 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_packages11
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:prometheus-api-client@0.7.2 runtime dependency closure — what installing the published package pulls in — 11 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.

71Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
28.5/40Legible commit history — 38 of 71 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.535
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.black])
11/11Static type checking — prometheus_api_client/py.typed
10/10Reproducible environment — lockfile
8/10Demonstrated agent practice — 4 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 28 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
lockfilesPipfile.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsprometheus_api_client/py.typed
agent_commit_share0.04
toolchain_manifests—
dependency_bot_commit_share0.28
How it's scored
27/45Type-checkable code — Python with type-check config (prometheus_api_client/py.typed)
55/55Manageable file sizes — 0/21 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes31,124
source_files_sampled21
oversized_source_files0
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, notebooks
Inputs used
example_dirsexamples, notebooks
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

277GitHub stars
40contributors
32commits, last 12 months
56days since last push
16releases
3bus factor
12open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 90 ⇿
0Stars
90Forks
15Releases

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.

0204060801008932019-042022-112026-06
Major 0Minor 3Patch 9

Each point covers 7 days.

OpenSSF Scorecard 5.3 / 10
5.3aggregate

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 · 2026-09-17 07:44 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
9CI-Tests22 out of 23 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 7/15 approved changesets -- score normalized to 4
10Contributorsproject has 19 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
3Maintained4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
9SASTSAST tool detected but not run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
1Vulnerabilities9 existing vulnerabilities detected
All dependencies 51

Full resolved dependency set from the GitHub dependency graph: 0 direct and 51 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalabaster1.0.0indirect
PyPIbabel2.17.0indirect
PyPIcertifi2025.1.31indirect
PyPIcharset-normalizer3.4.1indirect
PyPIcontourpy1.3.1indirect
PyPIcycler0.12.1indirect
PyPIdateparser—indirect
PyPIdateparser1.2.1indirect
PyPIdocutils0.21.2indirect
PyPIfonttools4.61.0indirect
PyPIhttmock—indirect
PyPIhttmock1.4.0indirect
PyPIidna3.10indirect
PyPIimagesize1.4.1indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIkiwisolver1.4.8indirect
PyPImarkupsafe3.0.2indirect
PyPImatplotlib—indirect
PyPImatplotlib3.10.0indirect
PyPInumpy—indirect
PyPInumpy2.2.2indirect
PyPIpackaging24.2indirect
PyPIpandas—indirect
PyPIpandas2.2.3indirect
PyPIpillow12.3.0indirect
PyPIpluggy1.6.0indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.2.1indirect
PyPIpytest9.0.3indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2025.1indirect
PyPIregex2024.11.6indirect
PyPIrequests—indirect
PyPIrequests2.33.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer2.2.0indirect
PyPIsphinx—indirect
PyPIsphinx8.1.3indirect
PyPIsphinx-rtd-theme—indirect
PyPIsphinx-rtd-theme3.0.2indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItzdata2025.1indirect
PyPItzlocal5.2indirect
PyPIurllib32.3.0indirect
Dependency advisories 0

Installing pypi:prometheus-api-client@0.7.2 pulls in 11 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

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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.