Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 02:44 UTC

bespokelabsai / curator

Synthetic data curation for post-training and structured data extraction

PythonApache-2.0★ 1,729 stars⑂ 145 forkssince Oct 2024View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#synthetic-data#agents#llm#prompt#python#synthetic-dataset-generation#deep-learning#fine-tuning#instruction-tuning#machine-learning#natural-language-processing

bespokelabsai/curator holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (95/100) and lowest on Security (27/100). It was last updated 12 days ago. 3 contributors account for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

Bespoke LabsOrganization
131 followers23 public repossince Apr 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIbespokelabs-curator0.1.2960,4795762 days agoaicuratorbespoke

Metrics by category

Vitality

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

62Moderate · 21% of overall

Development activity

52Moderate
How it's scored
28.8/36Push recency — last push 12 days ago
6.2/36Commit cadence — 9/52 weeks with commits
12.2/18Commit volume — 22 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year22
human_commit_share1
days_since_last_push12
active_weeks_last_year9

Release discipline

78Good
How it's scored
27/27Ships releases — 26 releases published
16.2/36Release recency — latest release 182 days ago
27/27Release cadence — a release every ~42.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count26
latest_release_tagv0.1.27
releases_from_tagsno
days_since_latest_release182
mean_days_between_releases42.4

Community & Adoption

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

75Good · 17% of overall

Popularity & adoption

76Good
How it's scored
52.5/60Stars — 1,729 stars
18/25Forks — 145 forks
5.6/15Watchers — 11 watchers
Inputs used
forks145
stars1,729
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 (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

80Excellent
How it's scored
63.8/80Monthly downloads — 60,479 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesbespokelabs-curator
dependents—
ecosystemspypi
total_downloads—
monthly_downloads60,479
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?

78Good · 23% of overall

Maintainer resilience (bus factor)

74Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
17.2/22.5Commit distribution — top contributor authored 24% of commits
13.5/13.5Contributor breadth — 22 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor3
contributors_sampled22
top_contributor_share0.235

Issue & PR responsiveness

82Excellent
How it's scored
33.1/42Issue resolution — 79% of issues closed
26.1/30PR acceptance — 387/445 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs387
open_issues57
closed_issues213
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.789
closed_unmerged_prs58
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

60Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
15.2/25Owner reach — 131 followers of bespokelabsai
14.8/25Track record — 23 public repos, account ~2 yr old
Inputs used
followers131
owner_typeOrganization
is_verifiedno
owner_loginbespokelabsai
public_repos23
account_age_days874

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 62 days ago
20/20Version history — 57 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesbespokelabs-curator
ecosystemspypi
any_deprecatedno
min_days_since_publish62

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://docs.bespokelabs.ai/bespoke-curator
10/10Repository description
10/10Topics — 11 topics
10/10Wiki
Inputs used
topicssynthetic-data, agents, llm, prompt, python, synthetic-dataset-generation, deep-learning, fine-tuning, instruction-tuning, machine-learning, natural-language-processing
has_wikiyes
homepagehttps://docs.bespokelabs.ai/bespoke-curator
docs_sitehttps://docs.bespokelabs.ai/bespoke-curator
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

27At Risk · 16% of overall

Security posture

25At Risk
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
25/25Dependency lockfiles — poetry.lock
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilespoetry.lock
manifestspyproject.toml
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

Dependency advisories

34At Risk
How it's scored
7/35Direct dependencies free of known advisories — 2 affected: litellm 1.83.7 (critical 9.8), datasets 3.6.0 (unknown)
6.6/25Indirect dependencies free of known advisories — 4 affected: aiohttp 3.13.5 (high 7.5), click 8.1.8 (high 7.2), google-cloud-aiplatform 1.71.1 (high), +1 more
20.5/40No advisories left outstanding — 5 advisory-carrying package(s) unaddressed past 90 days; oldest published 205 days ago
Inputs used
sourceosv
advisories47
affected_packages6
assessed_packages114
unassessed_packages0
affected_by_severitycritical 1, high 3, moderate 1, unknown 1
direct_affected_packages2
Matched the pypi:bespokelabs-curator@0.1.29 runtime dependency closure — what installing the published package pulls in — 114 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

Agent context & guidance

55Moderate
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.bespokelabs.ai/llms.txt)
40/40Legible commit history — 99 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.bespokelabs.ai/llms.txt
legible_history_share0.99
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

79Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 12 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.12
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/175 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes35,987
source_files_sampled175
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

1,729GitHub stars
22contributors
22commits, last 12 months
12days since last push
26releases
3bus factor
57open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard did not return a usable result (killed by SIGKILL — most likely the container's memory limit); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 145 ⇿
0Stars
145Forks
26Releases

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.

0255075100125150143132024-112025-092026-08
Major 0Minor 0Patch 20

Each point covers 2 days.

Direct dependencies 19
RegistryPackageVersion constraintManifest
PyPIpydantic>=2.9.2pyproject.toml
PyPIdatasets^3.0.2pyproject.toml
PyPIinstructor^1.6.3pyproject.toml
PyPIpandas2.2.2pyproject.toml
PyPIxxhash^3.5.0pyproject.toml
PyPItqdm^4.67.0pyproject.toml
PyPImatplotlib^3.9.2pyproject.toml
PyPInest-asyncio^1.6.0pyproject.toml
PyPIrich^13.7.0pyproject.toml
PyPIlitellm1.83.7pyproject.toml
PyPItiktoken>=0.7.0pyproject.toml
PyPIaiofiles>=22.0,<26.0pyproject.toml
PyPIanthropic^0.84.0pyproject.toml
PyPIvertexai1.71.1pyproject.toml
PyPIvllm^0.6.3pyproject.toml
PyPIbespokelabs-sandbox0.1.1pyproject.toml
PyPItinker^0.8.0pyproject.toml
PyPIposthog^3.11.0pyproject.toml
PyPImistralai^1.5.1pyproject.toml
All dependencies 248

Full resolved dependency set from the GitHub dependency graph: 22 direct and 226 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiofiles25.1.0direct
PyPIanthropic0.84.0direct
PyPIbespokelabs-sandbox0.1.1direct
PyPIdatasets—direct
PyPIdatasets3.2.0direct
PyPIdatasets3.6.0direct
PyPIinstructor1.14.5direct
PyPIlitellm1.83.7direct
PyPImatplotlib3.10.8direct
PyPImistralai1.12.4direct
PyPInest-asyncio1.6.0direct
PyPIpandas2.2.2direct
PyPIposthog3.25.0direct
PyPIpydantic2.12.5direct
PyPIrich13.9.4direct
PyPItiktoken0.12.0direct
PyPItinker0.8.1direct
PyPItqdm4.67.3direct
PyPIvertexai1.71.1direct
PyPIvllm—direct
PyPIvllm0.6.6.post1direct
PyPIxxhash3.6.0direct
PyPIaccelerate—indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.13.5indirect
PyPIaiohttp-cors0.8.1indirect
PyPIaiosignal1.4.0indirect
PyPIairportsdata20260304indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.12.1indirect
PyPIaryn-sdk—indirect
PyPIastor0.8.1indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs25.4.0indirect
PyPIbackoff2.2.1indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbespokelabs-curator—indirect
PyPIbespokelabs-curator0.1.16indirect
PyPIblake31.0.8indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.5indirect
PyPIclick8.1.8indirect
PyPIcloudpickle3.1.2indirect
PyPIcolorama0.4.6indirect
PyPIcolorful0.5.8indirect
PyPIcompressed-tensors0.8.1indirect
PyPIcontourpy1.3.2indirect
PyPIcoverage7.13.4indirect
PyPIcryptography46.0.5indirect
PyPIcycler0.12.1indirect
PyPIdeepspeed—indirect
PyPIdepyf0.18.0indirect
PyPIdill0.3.8indirect
PyPIdiskcache5.6.3indirect
PyPIdistlib0.4.0indirect
PyPIdistro1.9.0indirect
PyPIdocstring-parser0.17.0indirect
PyPIdocutils0.22.4indirect
PyPIeinops0.8.2indirect
PyPIeval-type-backport0.3.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIfaiss-cpu—indirect
PyPIfastapi0.135.1indirect
PyPIfastuuid0.14.0indirect
PyPIfilelock3.25.2indirect
PyPIfonttools4.62.1indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2025.3.0indirect
PyPIgguf0.10.0indirect
PyPIgoogle-api-core2.25.2indirect
PyPIgoogle-auth2.49.1indirect
PyPIgoogle-cloud-aiplatform1.71.1indirect
PyPIgoogle-cloud-bigquery3.40.1indirect
PyPIgoogle-cloud-core2.5.0indirect
PyPIgoogle-cloud-resource-manager1.16.0indirect
PyPIgoogle-cloud-storage2.19.0indirect
PyPIgoogle-crc32c1.8.0indirect
PyPIgoogle-resumable-media2.8.0indirect
PyPIgoogleapis-common-protos1.73.0indirect
PyPIgrpc-google-iam-v10.14.3indirect
PyPIgrpcio1.78.0indirect
PyPIgrpcio-status1.71.2indirect
PyPIh110.16.0indirect
PyPIh24.3.0indirect
PyPIhf-xet1.4.2indirect
PyPIhpack4.1.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.7.1indirect
PyPIhttpx0.28.1indirect
PyPIhuggingface-hub1.7.1indirect
PyPIhyperframe6.1.0indirect
PyPIidentify2.6.17indirect
PyPIidna3.11indirect
PyPIimportlib-metadata8.5.0indirect
PyPIiniconfig2.3.0indirect
PyPIinteregular0.3.3indirect
PyPIinvoke2.2.1indirect
PyPIisort5.13.2indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.1indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.11.1indirect
PyPIjsonschema4.23.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIkiwisolver1.5.0indirect
PyPIlangchain—indirect
PyPIlangchain-experimental—indirect
PyPIlangchain-openai—indirect
PyPIlark1.2.2indirect
PyPIlatex2sympy21.9.1indirect
PyPIlm-format-enforcer0.10.12indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImistral-common1.5.6indirect
PyPImonotonic1.6indirect
PyPImore-itertools10.8.0indirect
PyPImpmath1.3.0indirect
PyPImsgpack1.1.2indirect
PyPImsgspec0.20.0indirect
PyPImultidict6.7.1indirect
PyPImultiprocess0.70.16indirect
PyPInetworkx3.4.2indirect
PyPInh30.3.3indirect
PyPInodeenv1.10.0indirect
PyPInumpy—indirect
PyPInumpy1.26.4indirect
PyPInvidia-cublas-cu1212.4.5.8indirect
PyPInvidia-cuda-cupti-cu1212.4.127indirect
PyPInvidia-cuda-nvrtc-cu1212.4.127indirect
PyPInvidia-cuda-runtime-cu1212.4.127indirect
PyPInvidia-cudnn-cu129.1.0.70indirect
PyPInvidia-cufft-cu1211.2.1.3indirect
PyPInvidia-curand-cu1210.3.5.147indirect
PyPInvidia-cusolver-cu1211.6.1.9indirect
PyPInvidia-cusparse-cu1212.3.1.170indirect
PyPInvidia-ml-py13.590.48indirect
PyPInvidia-nccl-cu122.21.5indirect
PyPInvidia-nvjitlink-cu1212.4.127indirect
PyPInvidia-nvtx-cu1212.4.127indirect
PyPIopenai2.30.0indirect
PyPIopencensus0.11.4indirect
PyPIopencensus-context0.1.3indirect
PyPIopencv-python-headless4.11.0.86indirect
PyPIopentelemetry-api1.40.0indirect
PyPIopentelemetry-exporter-otlp-proto-common1.40.0indirect
PyPIopentelemetry-exporter-otlp-proto-http1.40.0indirect
PyPIopentelemetry-exporter-prometheus0.61b0indirect
PyPIopentelemetry-proto1.40.0indirect
PyPIopentelemetry-sdk1.40.0indirect
PyPIopentelemetry-semantic-conventions0.61b0indirect
PyPIoutlines0.1.11indirect
PyPIoutlines-core0.1.26indirect
PyPIpackaging26.0indirect
PyPIpartial-json-parser0.2.1.1.post7indirect
PyPIpdfplumber—indirect
PyPIpillow12.1.1indirect
PyPIpkginfo1.10.0indirect
PyPIplatformdirs4.9.4indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.5.1indirect
PyPIprometheus-client0.24.1indirect
PyPIprometheus-fastapi-instrumentator7.1.0indirect
PyPIpropcache0.4.1indirect
PyPIproto-plus1.27.1indirect
PyPIprotobuf5.29.6indirect
PyPIpsutil6.1.1indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpy-spy0.4.1indirect
PyPIpyarrow23.0.1indirect
PyPIpyasn10.6.2indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycountry26.2.16indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.19.2indirect
PyPIpyparsing3.3.2indirect
PyPIpytest8.4.2indirect
PyPIpytest-asyncio0.24.0indirect
PyPIpytest-cov6.3.0indirect
PyPIpytest-dependency0.6.1indirect
PyPIpytest-timeout2.4.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.1.3indirect
PyPIpython-dotenv1.0.1indirect
PyPIpytz2026.1.post1indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIray—indirect
PyPIray2.54.0indirect
PyPIreadme-renderer44.0indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.2.28indirect
PyPIrequests—indirect
PyPIrequests2.32.5indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.8.6indirect
PyPIsafetensors0.7.0indirect
PyPIscikit-learn—indirect
PyPIscipy1.15.1indirect
PyPIsecretstorage3.5.0indirect
PyPIsentence-transformers—indirect
PyPIsentencepiece0.2.1indirect
PyPIsetuptools82.0.1indirect
PyPIshapely2.1.2indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmart-open7.5.1indirect
PyPIsniffio1.3.1indirect
PyPIstarlette0.52.1indirect
PyPIsympy1.13.1indirect
PyPItenacity9.1.4indirect
PyPItimeout-decorator0.5.0indirect
PyPItokenizers0.22.2indirect
PyPItomli2.4.0indirect
PyPItorch—indirect
PyPItorch2.5.1indirect
PyPItorchvision0.20.1indirect
PyPItransformers—indirect
PyPItransformers5.3.0indirect
PyPItriton3.1.0indirect
PyPItwine5.1.1indirect
PyPItyper0.26.7indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIurllib31.26.20indirect
PyPIuvicorn0.41.0indirect
PyPIuvloop0.22.1indirect
PyPIvcrpy7.0.0indirect
PyPIvirtualenv21.2.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwebsockets16.0indirect
PyPIword2number1.1indirect
PyPIwrapt2.1.2indirect
PyPIxformers0.0.28.post3indirect
PyPIxgrammar0.1.32indirect
PyPIyarl1.23.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 6

Installing pypi:bespokelabs-curator@0.1.29 pulls in 114 packages, direct and transitive: 6 carry known advisories, of which 2 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
litellm1.83.7directcritical131.84.0
aiohttp3.13.5indirecthigh283.14.3
click8.1.8indirecthigh18.3.3
google-cloud-aiplatform1.71.1indirecthigh21.133.0
python-dotenv1.0.1indirectmoderate21.2.2
datasets3.6.0directunknown15.0.1

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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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.