Public record
Software health reportschema 0.13.0 · metrics 2.10.0 · 2026-07-18 14:54 UTC

albertodonato / query-exporter

Export Prometheus metrics from SQL queries

PythonGPL-3.0★ 531 stars⑂ 116 forkssince Mar 2017View on GitHub ↗
KindLibraryhow this is determined
#prometheus-exporter#prometheus#database#query#sql#metrics#metrics-exporter

albertodonato/query-exporter holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Vitality (86/100) and lowest on AI Readiness (57/100). It was last updated today. A single contributor accounts for most of its recent work.

86
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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

Alberto DonatoPersonal account
53 followers37 public repossince Feb 2013@stacklet

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
PyPIquery-exporter5.2.03,458540 days agoexportermetricprometheussql

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

90Excellent
How it's scored
36/36Push recency — last push 0 days ago
25.6/36Commit cadence — 37/52 weeks with commits
18/18Commit volume — 161 commits in the last year
10/10OpenSSF Scorecard: Maintained — 28 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year161
human_commit_share—
days_since_last_push0
active_weeks_last_year37

Release discipline

80Excellent
How it's scored
16.2/27Ships releases — 69 version tags (no GitHub releases)
36/36Release recency — latest release 0 days ago
19.8/27Release cadence — a release every ~59.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count69
latest_release_tag5.2.0
releases_from_tagsyes
days_since_latest_release0
mean_days_between_releases59.9
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

Popularity & adoption

67Good
How it's scored
44.2/60Stars — 531 stars
17.2/25Forks — 116 forks
5.6/15Watchers — 11 watchers
Inputs used
forks116
stars531
watchers11
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-3.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

59Moderate
How it's scored
47.2/80Monthly downloads — 3,458 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesquery-exporter
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,458
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?

63Moderate · 23% of overall

Maintainer resilience (bus factor)

32At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.6/22.5Commit distribution — top contributor authored 84% of commits
13.5/13.5Contributor breadth — 25 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled25
top_contributor_share0.839

Issue & PR responsiveness

74Good
How it's scored
39.3/42Issue resolution — 94% of issues closed
24/30PR acceptance — 184/230 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 2/16 approved changesets -- score normalized to 1
Inputs used
merged_prs184
open_issues13
closed_issues187
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.935
closed_unmerged_prs46
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

58Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
12.5/25Owner reach — 53 followers of albertodonato
23.5/25Track record — 37 public repos, account ~13 yr old
Inputs used
followers53
owner_typeUser
is_verified—
owner_loginalbertodonato
public_repos37
account_age_days4,912
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 0 days ago
20/20Version history — 54 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesquery-exporter
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

85Excellent · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 22 out of 24 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

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsprometheus-exporter, prometheus, database, query, sql, metrics, metrics-exporter
has_wikino
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

Security posture

62Moderate
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 24 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
0.8/7.5Code-Review — Found 2/16 approved changesets -- score normalized to 1
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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 — 28 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
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 — 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_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.2
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

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.

57Moderate · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
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_files—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

73Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checking — query_exporter/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsquery_exporter/py.typed
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (query_exporter/py.typed)
55/55Manageable file sizes — 0/27 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes23,821
source_files_sampled27
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

531GitHub stars
25contributors
161commits, last 12 months
0days since last push
69releases
1bus factor
13open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 6.2 / 10
6.2aggregate

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 · 2026-07-18 14:53 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 24 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 2/16 approved changesets -- score normalized to 1
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained28 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
0SASTSAST tool is not run on all commits -- score normalized to 0
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 8
RegistryPackageVersion constraintManifest
PyPIaiohttp—pyproject.toml
PyPIapscheduler—pyproject.toml
PyPIprometheus-aioexporter>=3.1pyproject.toml
PyPIprometheus-client—pyproject.toml
PyPIpydantic—pyproject.toml
PyPIpyyaml—pyproject.toml
PyPIsqlalchemy>=2pyproject.toml
PyPIstructlog—pyproject.toml
All dependencies 78

Full resolved dependency set from the GitHub dependency graph: 8 direct and 70 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttp3.14.1direct
PyPIapscheduler3.11.3direct
PyPIprometheus-aioexporter3.2.0direct
PyPIprometheus-client0.25.0direct
PyPIpydantic2.13.4direct
PyPIpyyaml6.0.3direct
PyPIsqlalchemy2.0.51direct
PyPIstructlog26.1.0direct
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.7.0indirect
PyPIasynch0.3.1indirect
PyPIattrs26.1.0indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIciso86012.3.3indirect
PyPIclick8.4.2indirect
PyPIclickhouse-driver0.2.11indirect
PyPIclickhouse-sqlalchemy0.3.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.2indirect
PyPIcryptography49.0.0indirect
PyPIdistlib0.4.3indirect
PyPIfilelock3.31.0indirect
PyPIfrozenlist1.8.0indirect
PyPIgreenlet3.5.3indirect
PyPIibm-db3.2.9indirect
PyPIibm-db-sa0.4.4indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIleb1281.0.9indirect
PyPIlz44.4.5indirect
PyPImultidict6.7.1indirect
PyPImysqlclient2.2.8indirect
PyPInodeenv1.10.0indirect
PyPIoracledb4.0.2indirect
PyPIpackaging26.2indirect
PyPIplatformdirs4.10.1indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIpropcache0.5.2indirect
PyPIpsycopg22.9.12indirect
PyPIpsycopg2-binary2.9.12indirect
PyPIpycparser3.0indirect
PyPIpycryptodome3.23.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpymssql2.3.13indirect
PyPIpyproject-fmt2.25.3indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-docker3.2.5indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-structlog1.2indirect
PyPIpython-discovery1.4.4indirect
PyPIpython-dotenv1.2.2indirect
PyPIpytz2025.2indirect
PyPIrequests2.34.2indirect
PyPIruff0.15.22indirect
PyPIteradatasql20.0.0.63indirect
PyPIteradatasqlalchemy20.0.0.9indirect
PyPItime-machine3.2.0indirect
PyPIty0.0.61indirect
PyPItypes-python-dateutil2.9.0.20260716indirect
PyPItypes-pyyaml6.0.12.20260518indirect
PyPItypes-requests2.33.0.20260712indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPItzlocal5.4.4indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.6.1indirect
PyPIyarl1.24.2indirect
PyPIzstd1.5.7.3indirect
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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with albertodonato/query-exporter. Read them side by side →

98prometheus/node_exporterExporter for machine metricsExceptional95kysely-org/kyselyA type-safe TypeScript SQL query builderExceptional95TanStack/dbThe reactive client store for your API.Exceptional93knex/knexA query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.Exceptional98SigNoz/signozSigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log management, infra monitoring, etc. Combined with SigNoz MCP and a native AI teammate (in SigNoz Cloud) it helps you build more resilient apps.Exceptional98citusdata/citusDistributed PostgreSQL as an extensionExceptional

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 v0.13.0 — full methodology · metrics wiki.

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