Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-11 21:03 UTC

infraguys / restalchemy

PythonApache-2.0★ 9 stars⑂ 2 forkssince Feb 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#genesis-core-libs

infraguys/restalchemy holds a health index of 34 out of 100, placing it in the At Risk band. It scores highest on Vitality (92/100) and lowest on Security (36/100). It was last updated today. 2 contributors account for most of its recent work.

34
overall / 100
At Risk

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.

34
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02). High-Risk Jurisdiction Policy applies a 50% multiplier to weighted overall health and gives it an At Risk ceiling of 34.

Ownership

infraguysOrganization
41 followers35 public repossince Sep 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIrestalchemy16.0.412,771642 days ago

Metrics by category

Vitality

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

92Excellent · 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 — 135 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year135
human_commit_share0.78
days_since_last_push0
active_weeks_last_year34

Release discipline

98Exceptional
How it's scored
27/27Ships releases — 63 releases published
36/36Release recency — latest release 2 days ago
27/27Release cadence — a release every ~5.7 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count63
latest_release_tag16.0.4
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases5.7

Community & Adoption

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

41Weak · 17% of overall

Popularity & adoption

17Critical
How it's scored
14.6/60Stars — 9 stars
0/25Forks — 2 forks
2.7/15Watchers — 4 watchers
Inputs used
forks2
stars9
watchers4
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 (Apache-2.0)
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_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

68Good
How it's scored
54.8/80Monthly downloads — 12,771 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesrestalchemy
dependents—
ecosystemspypi
total_downloads—
monthly_downloads12,771
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?

68Good · 23% of overall

Maintainer resilience (bus factor)

61Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.4/22.5Commit distribution — top contributor authored 45% of commits
13.5/13.5Contributor breadth — 13 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled13
top_contributor_share0.449

Issue & PR responsiveness

60Moderate
How it's scored
16.8/42Issue resolution — 40% of issues closed
27.9/30PR acceptance — 149/160 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 8/16 approved changesets -- score normalized to 5
Inputs used
merged_prs149
open_issues9
closed_issues6
prs_merged_7d1
prs_decided_7d1
prs_merged_30d9
prs_decided_30d9
issue_closed_ratio0.4
closed_unmerged_prs11
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

57Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
11.7/25Owner reach — 41 followers of infraguys
15.3/25Track record — 35 public repos, account ~1 yr old
Inputs used
followers41
owner_typeOrganization
is_verifiedno
owner_logininfraguys
public_repos35
account_age_days718

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 2 days ago
20/20Version history — 64 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesrestalchemy
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff]), tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 18 out of 18 merged PRs checked by a CI test -- score normalized to 10
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 — https://infraguys.github.io/restalchemy/
0/10Repository description
10/10Topics — 1 topics
10/10Wiki
Inputs used
topicsgenesis-core-libs
has_wikiyes
homepagehttps://infraguys.github.io/restalchemy/
docs_sitehttps://infraguys.github.io/restalchemy/
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

36Weak · 16% of overall

Security posture

28At Risk
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 18 out of 18 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
3.8/7.5Code-Review — Found 8/16 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 8 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
7.5/7.5Maintained — 30 commit(s) and 4 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
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 17 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.6
high_risk_jurisdiction_cap34
high_risk_jurisdiction_multiplier50
security_posture_after_multiplier28
security_posture_before_jurisdiction56
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized. High-Risk Jurisdiction Policy applies a 50% multiplier and gives Security posture an At risk ceiling of 34.

Dependency advisories

68Good
How it's scored
10.4/35Direct dependencies free of known advisories — 1 affected: mysql-connector-python 8.4.0 (high 8.8)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
32.8/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 695 days ago
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages25
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages1
Matched the pypi:restalchemy@16.0.4 runtime dependency closure — what installing the published package pulls in — 25 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.

56Moderate · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 63 of 78 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.808
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

51Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff]), tox.ini
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 22 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_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.22

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.8/55Manageable file sizes — 1/234 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes69,166
source_files_sampled234
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

9GitHub stars
13contributors
135commits, last 12 months
0days since last push
63releases
2bus factor
9open 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 ★ / 2 ⇿
0Stars
2Forks
7Releases

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.

111222212025-062025-082025-11
Major 0Minor 1Patch 6
OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 · 2026-09-11 21:03 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
10CI-Tests18 out of 18 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 8/16 approved changesets -- score normalized to 5
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 4 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
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities17 existing vulnerabilities detected
Direct dependencies 9
RegistryPackageVersion constraintManifest
PyPIoslo.config>=3.22.2,<10.0.0pyproject.toml
PyPIWebOb>=1.8.9,<1.9.0pyproject.toml
PyPIrequests>=2.32.4,<3.0.0pyproject.toml
PyPImysql-connector-python==8.4.0pyproject.toml
PyPIPyYAML>=6.0pyproject.toml
PyPInetaddr>=0.7.18pyproject.toml
PyPIpsycopg>=3.2.4,<4.0.0pyproject.toml
PyPIemail-validator>=2.2.0,<3.0.0pyproject.toml
PyPIorjson>=3.10.0,<4.0.0pyproject.toml
All dependencies 157

Full resolved dependency set from the GitHub dependency graph: 19 direct and 138 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIemail-validator2.3.0direct
PyPImysql-connector-python26.7.0direct
PyPImysql-connector-python8.4.0direct
PyPInetaddr1.3.0direct
PyPIorjson3.10.15direct
PyPIorjson3.11.5direct
PyPIorjson3.11.7direct
PyPIorjson3.12.0direct
PyPIoslo-config10.7.0direct
PyPIoslo-config9.6.0direct
PyPIoslo-config9.8.0direct
PyPIpsycopg3.2.13direct
PyPIpsycopg3.3.3direct
PyPIpsycopg3.3.5direct
PyPIpyyaml6.0.3direct
PyPIrequests2.32.4direct
PyPIrequests2.32.5direct
PyPIrequests2.34.2direct
PyPIwebob1.8.11direct
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.14.2indirect
PyPIasgiref3.12.1indirect
PyPIbackports-zoneinfo0.2.1indirect
PyPIblinker1.9.0indirect
PyPIcachetools5.5.2indirect
PyPIcachetools6.2.6indirect
PyPIcachetools7.0.1indirect
PyPIcertifi2026.1.4indirect
PyPIcertifi2026.7.22indirect
PyPIchardet5.2.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.4.2indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.10.7indirect
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PyPIdeepmerge2.1.0indirect
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PyPIdjango6.1indirect
PyPIdjangorestframework3.18.0indirect
PyPIdnspython2.6.1indirect
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PyPIdnspython2.8.0indirect
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PyPIhttpcore1.0.9indirect
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PyPIimportlib-resources6.4.5indirect
PyPIiniconfig2.1.0indirect
PyPIiniconfig2.3.0indirect
PyPIitsdangerous2.2.0indirect
PyPIjinja23.1.6indirect
PyPIlegacy-cgi2.6.4indirect
PyPIlibrt0.8.1indirect
PyPIlitestar2.24.0indirect
PyPIlitestar-htmx0.5.0indirect
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PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImock5.2.0indirect
PyPImsgspec0.21.1indirect
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PyPImultipart2.0.0indirect
PyPImypy1.14.1indirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.1.0indirect
PyPIoslo-i18n6.4.0indirect
PyPIoslo-i18n6.6.0indirect
PyPIoslo-i18n6.7.2indirect
PyPIoslo-i18n6.9.0indirect
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PyPIparameterized0.9.0indirect
PyPIpathspec1.0.4indirect
PyPIpbr5.8.1indirect
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PyPIplatformdirs4.3.6indirect
PyPIplatformdirs4.4.0indirect
PyPIplatformdirs4.9.2indirect
PyPIpluggy1.5.0indirect
PyPIpluggy1.6.0indirect
PyPIpolyfactory3.3.0indirect
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PyPIpsycopg-binary3.3.3indirect
PyPIpsycopg-binary3.3.5indirect
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PyPIsetuptools84.0.0indirect
PyPIsetuptools-git1.2indirect
PyPIshellcheck-py0.10.0.1indirect
PyPIshellcheck-py0.11.0.1indirect
PyPIsniffio1.3.1indirect
PyPIsqlalchemy2.0.52indirect
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PyPIstevedore5.3.0indirect
PyPIstevedore5.5.0indirect
PyPIstevedore5.6.0indirect
PyPIstevedore5.9.0indirect
PyPItomli2.4.0indirect
PyPItox4.25.0indirect
PyPItox4.30.3indirect
PyPItox4.40.0indirect
PyPItox-uv1.13.1indirect
PyPItox-uv1.28.1indirect
PyPItox-uv1.29.0indirect
PyPItyping-extensions4.13.2indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2025.3indirect
PyPIurllib32.2.3indirect
PyPIurllib32.6.3indirect
PyPIurllib32.7.0indirect
PyPIuv0.10.4indirect
PyPIvirtualenv20.38.0indirect
PyPIwerkzeug3.1.8indirect
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PyPIzensical0.0.57indirect
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Dependency advisories 1

Installing pypi:restalchemy@16.0.4 pulls in 25 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
mysql-connector-python8.4.0directhigh29.1.0

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

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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.