Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 09:48 UTC

qua-platform / py-qua-tools

Tools for enhancing your quantum experiments

PythonBSD-3-Clause★ 60 stars⑂ 33 forkssince Jun 2021View on GitHub ↗
KindLibraryhow this is determined
#python#qua

qua-platform/py-qua-tools holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Sustainability & Governance (83/100) and lowest on Security (46/100). It was last updated today. 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

QUA PlatformOrganization
128 followers17 public repossince Jul 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIqualang-tools0.24.012,229590 days ago

Metrics by category

Vitality

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

81Excellent · 21% of overall

Development activity

80Excellent
How it's scored
36/36Push recency — last push 0 days ago
17.3/36Commit cadence — 25/52 weeks with commits
17.2/18Commit volume — 82 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year82
human_commit_share1
days_since_last_push0
active_weeks_last_year25

Release discipline

83Excellent
How it's scored
27/27Ships releases — 69 releases published
36/36Release recency — latest release 0 days ago
19.8/27Release cadence — a release every ~65.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count69
latest_release_tagv0.24.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases65.9

Community & Adoption

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

60Moderate · 17% of overall

Popularity & adoption

41Weak
How it's scored
28.7/60Stars — 60 stars
12.5/25Forks — 33 forks
0/15Watchers — 2 watchers
Inputs used
forks33
stars60
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

68Good
How it's scored
54.5/80Monthly downloads — 12,229 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesqualang-tools
dependents—
ecosystemspypi
total_downloads—
monthly_downloads12,229
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?

83Excellent · 23% of overall

Maintainer resilience (bus factor)

77Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
17.6/22.5Commit distribution — top contributor authored 22% of commits
13.5/13.5Contributor breadth — 39 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled39
top_contributor_share0.22

Issue & PR responsiveness

92Excellent
How it's scored
37.1/42Issue resolution — 88% of issues closed
26.9/30PR acceptance — 269/300 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs269
open_issues5
closed_issues38
prs_merged_7d3
prs_decided_7d3
prs_merged_30d3
prs_decided_30d3
issue_closed_ratio0.884
closed_unmerged_prs31
first_time_authors_30d1
first_time_prs_merged_30d2
first_time_prs_decided_30d2

Ownership & stewardship

66Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
15.2/25Owner reach — 128 followers of qua-platform
21.1/25Track record — 17 public repos, account ~6 yr old
Inputs used
followers128
owner_typeOrganization
is_verifiedno
owner_loginqua-platform
public_repos17
account_age_days2,279

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 — 59 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesqualang-tools
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — .flake8, pyproject.toml ([tool.black])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 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

60Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 2 topics
10/10Wiki
Inputs used
topicspython, qua
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

46Weak · 16% of overall

Security posture

43Weak
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 — 8 out of 8 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 4 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
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
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 61 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.3
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging. Remaining weights renormalized.

Dependency advisories

56Moderate
How it's scored
9.5/35Direct dependencies free of known advisories — 1 affected: pillow 11.1.0 (critical 9.1)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
32.6/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 251 days ago
Inputs used
sourceosv
advisories112
affected_packages18
assessed_packages170
unassessed_packages0
affected_by_severitycritical 3, high 4, moderate 10, low 1
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 170 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

52Moderate · 4% of overall

Agent context & guidance

27At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
26.7/40Legible commit history — 50 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.5
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

53Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .flake8, pyproject.toml ([tool.black])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 6 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.06
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.5/55Manageable file sizes — 2/238 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes85,685
source_files_sampled238
oversized_source_files2

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, 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

60GitHub stars
39contributors
82commits, last 12 months
0days since last push
69releases
3bus factor
5open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:qualang-tools@0.24.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 33 ⇿
0Stars
33Forks
60Releases

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.

01325383332021-082023-122026-05
Major 0Minor 22Patch 36

Each point covers 5 days.

OpenSSF Scorecard 4.3 / 10
4.3aggregate

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 · 2026-10-21 09:47 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-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not 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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities61 existing vulnerabilities detected
Direct dependencies 33
RegistryPackageVersion constraintManifest
PyPImatplotlib>=3.10.5pyproject.toml
PyPIpillow—pyproject.toml
PyPIcontourpy—pyproject.toml
PyPIkiwisolver—pyproject.toml
PyPInumpy<3pyproject.toml
PyPIqm-qua>=1.2.3pyproject.toml
PyPIscikit-learn>=1.7.2pyproject.toml
PyPIgrpclib0.4.5pyproject.toml
PyPIgrpcio>=1.75.1pyproject.toml
PyPIattrs>=22.2.0pyproject.toml
PyPIpackaging>=20.0pyproject.toml
PyPIscipy—pyproject.toml
PyPIdill^0.3.4pyproject.toml
PyPIpypiwin32^223pyproject.toml
PyPIipython^8.10.0pyproject.toml
PyPIpandas>=2.3.3pyproject.toml
PyPIdash^2.0.0pyproject.toml
PyPIdash-html-components^2.0.0pyproject.toml
PyPIdash-core-components^2.0.0pyproject.toml
PyPIdash-bootstrap-components^1.6.0pyproject.toml
PyPIdash-cytoscape^0.3.0pyproject.toml
PyPIdash-table^5.0.0pyproject.toml
PyPIdash-dangerously-set-inner-html^0.0.2pyproject.toml
PyPIdocutils>=0.14.0 <= 0.21pyproject.toml
PyPIwaitress^3.0.1pyproject.toml
PyPImarkupsafe>=3.0.3pyproject.toml
PyPIxarray>=2025.1.0,<2025.7.0pyproject.toml
PyPInetCDF4—pyproject.toml
PyPIcftime—pyproject.toml
PyPIcirq—pyproject.toml
PyPItqdm^4.67.1pyproject.toml
PyPItypedunits>=0.0.2pyproject.toml
PyPIqcodes—pyproject.toml
All dependencies 170

Full resolved dependency set from the GitHub dependency graph: 33 direct and 137 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIattrs25.4.0direct
PyPIcftime1.6.4.post1direct
PyPIcirq1.5.0direct
PyPIcontourpy1.3.0direct
PyPIdash2.18.2direct
PyPIdash-bootstrap-components1.7.1direct
PyPIdash-core-components2.0.0direct
PyPIdash-cytoscape0.3.0direct
PyPIdash-dangerously-set-inner-html0.0.2direct
PyPIdash-html-components2.0.0direct
PyPIdash-table5.0.0direct
PyPIdill0.3.9direct
PyPIdocutils0.21direct
PyPIgrpcio1.83.1direct
PyPIgrpclib0.4.5direct
PyPIipython8.18.1direct
PyPIkiwisolver1.4.7direct
PyPImarkupsafe3.0.3direct
PyPImatplotlib3.10.9direct
PyPInetcdf41.7.2direct
PyPInumpy2.0.2direct
PyPIpackaging24.2direct
PyPIpandas2.3.3direct
PyPIpillow11.1.0direct
PyPIpypiwin32223direct
PyPIqcodes0.52.0direct
PyPIqm-qua1.4.1direct
PyPIscikit-learn1.7.2direct
PyPIscipy1.13.1direct
PyPItqdm4.67.1direct
PyPItypedunits0.0.2direct
PyPIwaitress3.0.2direct
PyPIxarray2025.6.1direct
PyPIanyio4.8.0indirect
PyPIappnope1.0.0indirect
PyPIasttokens3.0.0indirect
PyPIblack24.10.0indirect
PyPIblinker1.9.0indirect
PyPIbroadbean0.14.0indirect
PyPIcachetools5.5.2indirect
PyPIcertifi2025.1.31indirect
PyPIcf-xarray0.10.6indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.4.1indirect
PyPIcirq-aqt1.5.0indirect
PyPIcirq-core1.5.0indirect
PyPIcirq-google1.5.0indirect
PyPIcirq-ionq1.5.0indirect
PyPIcirq-pasqal1.5.0indirect
PyPIcirq-web1.5.0indirect
PyPIclick8.1.8indirect
PyPIcloudpickle3.1.2indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcycler0.12.1indirect
PyPIcython3.2.4indirect
PyPIdask2026.8.0indirect
PyPIdatadog-api-client2.32.0indirect
PyPIdebugpy1.8.22indirect
PyPIdecorator5.2.1indirect
PyPIdeprecation2.1.0indirect
PyPIduet0.2.9indirect
PyPIexceptiongroup1.2.2indirect
PyPIexecuting2.2.0indirect
PyPIflake87.3.0indirect
PyPIflask3.0.3indirect
PyPIfonttools4.56.0indirect
PyPIfsspec2026.9.0indirect
PyPIgoogle-api-core2.24.1indirect
PyPIgoogle-auth2.38.0indirect
PyPIgoogleapis-common-protos1.68.0indirect
PyPIgrpcio-status1.62.3indirect
PyPIh110.16.0indirect
PyPIh24.3.0indirect
PyPIh5netcdf1.8.1indirect
PyPIh5py3.16.0indirect
PyPIhpack4.1.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhyperframe6.1.0indirect
PyPIidna3.10indirect
PyPIimportlib-metadata8.6.1indirect
PyPIiniconfig2.0.0indirect
PyPIipykernel7.3.0indirect
PyPIipywidgets8.1.9indirect
PyPIitsdangerous2.2.0indirect
PyPIjedi0.19.2indirect
PyPIjinja23.1.5indirect
PyPIjoblib1.4.2indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-client8.10.0indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyterlab-widgets3.0.17indirect
PyPIlocket1.0.0indirect
PyPImarshmallow3.23.3indirect
PyPImarshmallow-polyfield5.11indirect
PyPImatplotlib-inline0.1.7indirect
PyPImccabe0.7.0indirect
PyPImpmath1.3.0indirect
PyPImultidict6.7.1indirect
PyPImypy-extensions1.0.0indirect
PyPInarwhals2.25.0indirect
PyPInest-asyncio1.6.0indirect
PyPInest-asyncio21.7.4indirect
PyPInetworkx3.4.2indirect
PyPIopentelemetry-api1.45.1indirect
PyPIparso0.8.4indirect
PyPIpartd1.4.2indirect
PyPIpastel0.2.1indirect
PyPIpathspec0.12.1indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.3.6indirect
PyPIplotly5.24.1indirect
PyPIpluggy1.5.0indirect
PyPIpoethepoet0.18.1indirect
PyPIprompt-toolkit3.0.50indirect
PyPIproto-plus1.26.0indirect
PyPIprotobuf5.29.6indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpyarrow25.0.1indirect
PyPIpyasn10.6.1indirect
PyPIpyasn1-modules0.4.1indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser3.11indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.19.1indirect
PyPIpyparsing3.2.1indirect
PyPIpytest8.4.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2025.1indirect
PyPIpyvisa1.15.0indirect
PyPIpywin32308indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.2.0indirect
PyPIqm-saas1.2.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.33.1indirect
PyPIretrying1.3.4indirect
PyPIrpds-py0.30.0indirect
PyPIrsa4.9indirect
PyPIruamel-yaml0.19.1indirect
PyPIschema0.7.8indirect
PyPIsetuptools69.5.1indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIstack-data0.6.3indirect
PyPIsympy1.13.3indirect
PyPItabulate0.10.0indirect
PyPItenacity9.0.0indirect
PyPIthreadpoolctl3.5.0indirect
PyPItinydb4.8.2indirect
PyPItomli2.2.1indirect
PyPItoolz1.2.0indirect
PyPItornado6.5.10indirect
PyPItraitlets5.14.3indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.1indirect
PyPIuncertainties3.2.3indirect
PyPIurllib32.3.0indirect
PyPIversioningit3.3.0indirect
PyPIwcwidth0.2.13indirect
PyPIwebsockets16.1.1indirect
PyPIwerkzeug3.0.6indirect
PyPIwidgetsnbextension4.0.16indirect
PyPIwrapt2.5.1indirect
PyPIzipp3.21.0indirect
Dependency advisories 18

This repository publishes no package the index resolves, so its own dependency graph was assessed — 170 packages, which also include development and test pins that never ship: 18 carry known advisories, of which 1 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow11.1.0directcritical4313.0.0
anyio4.8.0indirectcritical44.14.2
black24.10.0indirectcritical326.3.1
certifi2025.1.31indirecthigh22026.10.19
pyasn10.6.1indirecthigh100.6.4
setuptools69.5.1indirecthigh683.0.0
urllib32.3.0indirecthigh162.8.0
flask3.0.3indirectmoderate23.1.3
fonttools4.56.0indirectmoderate24.60.2
h24.3.0indirectmoderate24.4.1
hpack4.1.0indirectmoderate24.2.0
idna3.10indirectmoderate23.15
jinja23.1.5indirectmoderate23.1.6
marshmallow3.23.3indirectmoderate24.1.2
multidict6.7.1indirectmoderate26.9.1
pytest8.4.2indirectmoderate29.0.3
werkzeug3.0.6indirectmoderate83.1.9
pygments2.19.1indirectlow22.20.0

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.