Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 12:50 UTC

mdefrance / AutoCarver

Automatic optimal discretization pipeline

PythonMIT★ 11 stars⑂ 0 forkssince Jan 2023View on GitHub ↗
KindLibraryhow this is determined
#binning#categorical-encoding#cramer#credit-risk#discretization#feature-engineering#fraud-detection#information-value#risk-modeling#scorecard#scorecards#woe#bucketization#tschuprow#kurskal-wallis

mdefrance/AutoCarver holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (37/100). It was last updated 7 days ago. A single contributor accounts for most of its recent work.

75
overall / 100
Good

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.

75
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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

Mario DefrancePersonal account
10 followers7 public repossince Nov 2020Coface

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
PyPIAutoCarver7.7.31,3871397 days agobinningdiscretizationfeature-engineeringcredit-scoringwoescorecardstschuprowtschuprow-tcramer-vinformation-valueivmonotonic-binningsupervised-discretizationbucketizationrisk-modelingcredit-riskfraud-detectioncategorical-encodingsupervised-binningweight-of-evidencefeature-selectionmcpmodel-context-protocol

Metrics by category

Vitality

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

84Excellent · 21% of overall

Development activity

74Good
How it's scored
36/36Push recency — last push 7 days ago
11.1/36Commit cadence — 16/52 weeks with commits
16.8/18Commit volume — 74 commits in the last year
10/10OpenSSF Scorecard: Maintained — 25 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year74
human_commit_share1
days_since_last_push7
active_weeks_last_year16

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 90 releases published
36/36Release recency — latest release 7 days ago
27/27Release cadence — a release every ~6.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count90
latest_release_tag7.7.3
releases_from_tagsno
days_since_latest_release7
mean_days_between_releases6.1
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?

37Weak · 17% of overall

Popularity & adoption

16Critical
How it's scored
16.2/60Stars — 11 stars
0/25Forks — 0 forks
0/15Watchers — 2 watchers
Inputs used
forks0
stars11
watchers2
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 (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

52Moderate
How it's scored
41.9/80Monthly downloads — 1,387 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesAutoCarver
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,387
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?

53Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

72Good
How it's scored
33.6/42Issue resolution — 80% of issues closed
28.7/30PR acceptance — 132/138 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs132
open_issues3
closed_issues12
prs_merged_7d0
prs_decided_7d0
prs_merged_30d3
prs_decided_30d3
issue_closed_ratio0.8
closed_unmerged_prs6
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

45Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
7.5/25Owner reach — 10 followers of mdefrance
18.2/25Track record — 7 public repos, account ~5 yr old
Inputs used
followers10
owner_typeUser
is_verified—
owner_loginmdefrance
public_repos7
account_age_days2,129
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 7 days ago
20/20Version history — 139 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesAutoCarver
ecosystemspypi
any_deprecatedno
min_days_since_publish7

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
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://autocarver.readthedocs.io
10/10Repository description
10/10Topics — 15 topics
10/10Wiki
Inputs used
topicsbinning, categorical-encoding, cramer, credit-risk, discretization, feature-engineering, fraud-detection, information-value, risk-modeling, scorecard, scorecards, woe, bucketization, tschuprow, kurskal-wallis
has_wikiyes
homepagehttps://autocarver.readthedocs.io
docs_sitehttps://autocarver.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

55Moderate · 16% of overall

Security posture

44Weak
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 — 30 out of 30 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
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 — 25 commit(s) and 3 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
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.4
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages18
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:AutoCarver@7.7.3 runtime dependency closure — what installing the published package pulls in — 18 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.

58Moderate · 4% of overall

Agent context & guidance

35Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
35.2/40Legible commit history — 66 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.66
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

61Moderate
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
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
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
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
54.7/55Manageable file sizes — 1/216 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes63,410
source_files_sampled216
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, 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

11GitHub stars
1contributors
74commits, last 12 months
7days since last push
90releases
1bus factor
3open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

OpenSSF Scorecard 4.4 / 10
4.4aggregate

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 · 2026-09-14 12:50 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-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained25 commit(s) and 3 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
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5Vulnerabilities5 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPInumpy>=2.1,<2.5pyproject.toml
PyPIscipy>=1.15,<1.18pyproject.toml
PyPIpandas>=2.3,<3.1,!=3.0.4pyproject.toml
PyPIscikit-learn>=1.6,<1.9pyproject.toml
PyPIstatsmodels>=0.14.1,<1pyproject.toml
PyPItqdm>=4.66,<5pyproject.toml
All dependencies 195

Full resolved dependency set from the GitHub dependency graph: 6 direct and 189 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInumpy2.4.6direct
PyPIpandas3.0.3direct
PyPIscikit-learn1.8.0direct
PyPIscipy1.17.1direct
PyPIstatsmodels0.14.6direct
PyPItqdm4.68.4direct
PyPIabsl-py2.5.0indirect
PyPIaiofile3.11.1indirect
PyPIalabaster0.7.16indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.1indirect
PyPIappnope0.1.4indirect
PyPIasttokens3.0.1indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.7.2indirect
PyPIautocarver7.7.3indirect
PyPIbabel2.18.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeartype0.22.9indirect
PyPIbeautifulsoup44.15.0indirect
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PyPIcachetools7.1.4indirect
PyPIcaio0.9.25indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIcharset-normalizer3.4.9indirect
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PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcontourpy1.3.3indirect
PyPIcoverage7.15.0indirect
PyPIcryptography49.0.0indirect
PyPIcvxpy1.9.2indirect
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PyPIcyclopts4.21.0indirect
PyPIdebugpy1.8.21indirect
PyPIdecorator5.3.1indirect
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PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIexecuting2.2.1indirect
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PyPIfastmcp3.4.4indirect
PyPIfastmcp-slim3.4.4indirect
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PyPIh110.16.0indirect
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PyPIjoblib1.5.3indirect
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PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.5.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-client8.9.1indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIjupyterlab-widgets3.0.16indirect
PyPIjupytext1.19.4indirect
PyPIkaggle2.2.3indirect
PyPIkagglesdk0.1.34indirect
PyPIkeyring25.7.0indirect
PyPIkiwisolver1.5.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib3.10.9indirect
PyPImatplotlib-inline0.2.2indirect
PyPImcp1.28.1indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImistune3.3.3indirect
PyPImore-itertools11.1.0indirect
PyPInbclient0.11.0indirect
PyPInbconvert7.17.1indirect
PyPInbformat5.10.4indirect
PyPInbsphinx0.9.6indirect
PyPInest-asyncio1.6.0indirect
PyPInvidia-nccl-cu122.30.7indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.43.0indirect
PyPIoptbinning0.21.0indirect
PyPIortools9.10.4067indirect
PyPIosqp1.1.3indirect
PyPIpackaging26.2indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.7indirect
PyPIpathable0.6.0indirect
PyPIpatsy1.0.2indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIprotobuf7.35.1indirect
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PyPIpy-key-value-aio0.4.5indirect
PyPIpyarrow25.0.0indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpypandoc1.17indirect
PyPIpyparsing3.3.2indirect
PyPIpyperclip1.11.0indirect
PyPIpytest7.4.4indirect
PyPIpytest-cov4.1.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIpython-slugify8.0.4indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
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PyPIpyzmq27.1.0indirect
PyPIqdldl0.1.9.post1indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIrich-rst2.1.0indirect
PyPIropwr1.2.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.15.21indirect
PyPIscs3.2.11indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools83.0.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
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PyPIsparsediffpy0.3.0indirect
PyPIsphinx7.4.7indirect
PyPIsphinx-design0.6.1indirect
PyPIsphinx-rtd-theme2.0.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsse-starlette3.4.5indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.3.1indirect
PyPItext-unidecode1.3indirect
PyPIthreadpoolctl3.6.0indirect
PyPItinycss21.5.1indirect
PyPItoml0.10.2indirect
PyPItomli2.4.1indirect
PyPItornado6.5.7indirect
PyPItraitlets5.15.1indirect
PyPIty0.0.58indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIuncalled-for0.3.2indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.51.0indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebencodings0.5.1indirect
PyPIwebsockets16.1indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIxgboost3.2.0indirect
PyPIxgboost3.3.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:AutoCarver@7.7.3 pulls in 18 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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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.