Public recordAt risk
Software health reportschema 0.17.0 · metrics 1.13.0 · 2026-07-21 04:27 UTC
Grokzen / pykwalify
Python YAML/JSON schema validation library
Grokzen/pykwalify holds a health index of 43 out of 100, placing it in the At risk band. It scores highest on Engineering Quality (60/100) and lowest on Vitality (18/100). It was last updated 912 days ago. A single contributor accounts for most of its recent work.
43
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
43
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
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.
Ownership
GrokzenPersonal account
123 followers48 public repossince Jul 2011Tutus (https://tutus.se)
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish |
|---|---|---|---|---|---|
| PyPI | pykwalify | 1.8.0 | - | 13 | 2028 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
18
Development activity
1Critical
How it's scored
| 0/36 | Push recency — last push 912 days ago |
| 0/36 | Commit cadence — 0/52 weeks with commits |
| 0/18 | Commit volume — 0 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 0 |
| human_commit_share | — |
| days_since_last_push | 912 |
| active_weeks_last_year | 0 |
Release discipline
44At risk
How it's scored
| 27/27 | Ships releases — 21 releases published |
| 0/36 | Release recency — latest release 2,028 days ago |
| 12.6/27 | Release cadence — a release every ~221.9 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 21 |
| latest_release_tag | 1.8.0 |
| releases_from_tags | no |
| days_since_latest_release | 2,028 |
| mean_days_between_releases | 221.9 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
59
Popularity & adoption
61Moderate
How it's scored
| 40.1/60 | Stars — 299 stars |
| 16.1/25 | Forks — 87 forks |
| 5/15 | Watchers — 9 watchers |
Inputs used
| forks | 87 |
| stars | 299 |
| watchers | 9 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community health
57Moderate
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 0/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
56
Maintainer resilience (bus factor)
28Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 2.5/22.5 | Commit distribution — top contributor authored 89% of commits |
| 13.5/13.5 | Contributor breadth — 27 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 27 |
| top_contributor_share | 0.887 |
How it's scored
| 40.9/46.8 | Issue resolution — 88% of issues closed |
| 22.3/38.3 | PR acceptance — 39/67 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 39 |
| open_issues | 16 |
| closed_issues | 112 |
| issue_closed_ratio | 0.875 |
| closed_unmerged_prs | 28 |
Ownership & stewardship
62Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 15.1/25 | Owner reach — 123 followers of Grokzen |
| 24.3/25 | Track record — 48 public repos, account ~15 yr old |
Inputs used
| followers | 123 |
| owner_type | User |
| is_verified | — |
| owner_login | Grokzen |
| public_repos | 48 |
| account_age_days | 5,496 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
69Moderate
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 4/35 | Publish recency — latest publish 2,028 days ago |
| 20/20 | Version history — 13 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | pykwalify |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 2,028 |
Engineering Quality
Are baseline engineering and documentation practices in place?
60
Engineering practices
50Moderate
How it's scored
| 0/24 | CI workflows |
| 24/24 | Tests present |
| 16/16 | Linter config — tox.ini |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | no |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | no |
Documentation
75Good
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | — |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
21
Security posture
1Critical
How it's scored
| 0/30 | Security policy (SECURITY.md) |
| 0/25 | Dependabot config |
| 0/25 | Dependency lockfiles — published library — lockfiles are an application concern, not expected |
| 0/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | — |
| manifests | requirements.txt, setup.cfg, setup.py |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.
Dependency advisories
100Excellent
How it's scored
| 35/35 | Direct dependencies free of known advisories — no direct dependency carries a known advisory |
| 25/25 | Indirect dependencies free of known advisories — no indirect dependency carries a known advisory |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 4 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pykwalify@1.8.0 runtime dependency closure — what installing the published package pulls in — 4 packages. Reachability is not analyzed.
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
43
Agent context & guidance
1Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
| 18/18 | One-command bootstrap — Makefile, docs/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — tox.ini |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — no data |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | Makefile, docs/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 55/55 | Manageable file sizes — 0/19 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 44,304 |
| source_files_sampled | 19 |
| oversized_source_files | 0 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
299GitHub stars
27contributors
0commits, last 12 months
912days since last push
21releases
1bus factor
16open issues
PyPIpackage ecosystems
Data collection warnings
- OpenSSF Scorecard timed out after 240s; skipping Scorecard checks
More detail
Star and fork history 299 ★ / 0 ⇿
299Stars
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.
Each point covers 12 days.
All dependencies 13
Full resolved dependency set from the GitHub dependency graph: 0 direct and 13 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | coverage | — | indirect |
| PyPI | docopt | — | indirect |
| PyPI | mock | — | indirect |
| PyPI | ptpdb | — | indirect |
| PyPI | ptpython | — | indirect |
| PyPI | pysnooper | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | python-coveralls | — | indirect |
| PyPI | python-dateutil | — | indirect |
| PyPI | ruamel-yaml | — | indirect |
| PyPI | setuptools | — | indirect |
| PyPI | testfixtures | — | indirect |
| PyPI | tox | — | indirect |
Dependency advisories 0
Installing pypi:pykwalify@1.8.0 pulls in 4 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
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{
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{
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"notes": [
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"components": [
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],
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{
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{
"key": "owner_reach",
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{
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"status": "partial",
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{
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}
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],
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},
{
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"weight": 0.2,
"metrics": [
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},
{
"key": "tests_present",
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{
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{
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{
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{
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{
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{
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"metrics": [
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"components": [
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"points": 0,
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"status": "excluded",
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{
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]
},
{
"key": "dependency_advisories",
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"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pykwalify@1.8.0 runtime dependency closure — what installing the published package pulls in — 4 packages. Reachability is not analyzed.",
"notes": [
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"code": "excluded_no_data",
"params": {
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{
"code": "weights_renormalized",
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"code": "advisories_scope_published",
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},
{
"code": "advisories_reachability",
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"inputs": {
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"components": [
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
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"direct_malicious_packages": 0,
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{
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"notes": [
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"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
"inputs": {
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"exposures": [],
"policy_countries": [
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"review_only_matches": 0,
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"components": [
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"key": "policy_exposure_multiplier",
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"status": "met",
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],
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{
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"value": 43,
"weight": 0,
"metrics": [
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"max_points": 45
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{
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{
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"inputs": {
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"license_state": "standard",
"license_spdx": "MIT"
}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 v1.13.0, schema v0.17.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.