Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 22:12 UTC

fabiocaccamo / python-benedict

:blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.

Python · HTMLMIT★ 1,607 stars⑂ 55 forkssince May 2019View on GitHub ↗
KindDesktop applicationLibraryhow this is determined

fabiocaccamo/python-benedict holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (86/100) and lowest on AI Readiness (51/100). It was last updated 15 days ago. A single contributor accounts for most of its recent work.

86
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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

Fabio CaccamoPersonal account
585 followers37 public repossince Sep 2011

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

Metrics by category

Vitality

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

73Good · 21% of overall
How it's scored
28.8/36Push recency — last push 15 days ago
9/36Commit cadence — 13/52 weeks with commits
17/18Commit volume — 78 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year78
human_commit_share0.82
days_since_last_push15
active_weeks_last_year13
How it's scored
27/27Ships releases — 71 releases published
36/36Release recency — latest release 72 days ago
19.8/27Release cadence — a release every ~113.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count71
latest_release_tag0.38.0
releases_from_tagsno
days_since_latest_release72
mean_days_between_releases113.7

Community & Adoption

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

86Excellent · 17% of overall
How it's scored
52/60Stars — 1,607 stars
14.4/25Forks — 55 forks
5.8/15Watchers — 12 watchers
Inputs used
forks55
stars1,607
watchers12
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges12
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesapi.securityscorecards.dev, shields.io
has_pull_request_templateyes
How it's scored
80/80Monthly downloads — 1,311,725 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespython-benedict
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,311,725
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?

62Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.3/22.5Commit distribution — top contributor authored 99% of commits
13.5/13.5Contributor breadth — 10 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled10
top_contributor_share0.988
How it's scored
40.2/42Issue resolution — 96% of issues closed
18.3/30PR acceptance — 285/468 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs285
open_issues5
closed_issues110
prs_merged_7d0
prs_decided_7d1
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio0.957
closed_unmerged_prs183
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
19.9/25Owner reach — 585 followers of fabiocaccamo
23.5/25Track record — 37 public repos, account ~15 yr old
Inputs used
followers585
owner_typeUser
is_verified—
owner_loginfabiocaccamo
public_repos37
account_age_days5,488
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 72 days ago
20/20Version history — 71 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespython-benedict
ecosystemspypi
any_deprecatedno
min_days_since_publish72

Engineering Quality

Are baseline engineering and documentation practices in place?

81Excellent · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black]), tox.ini
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
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://github.com/fabiocaccamo/python-benedict#readme
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicspython, dict, dictionary, keypath, base64, csv, json, pickle, plist, query-string, toml, xml, yaml, encode, decode, filter, flatten, subset, traverse, xls
has_wikino
homepage—
docs_sitehttps://github.com/fabiocaccamo/python-benedict#readme
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

64Moderate · 16% of overall
How it's scored
30/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestspyproject.toml, requirements-release.txt, requirements-test.txt, requirements.txt, setup.py
has_codeql_workflowno
has_security_policyyes
has_dependabot_configyes

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_packages3
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:python-benedict@0.38.0 runtime dependency closure — what installing the published package pulls in — 3 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.

51Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
11.1/40Legible commit history — 17 of 82 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.207
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black]), tox.ini
11/11Static type checking — benedict/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice — 8 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 16 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsbenedict/py.typed
agent_commit_share0.08
toolchain_manifests—
dependency_bot_commit_share0.16
How it's scored
27/45Type-checkable code — Python with type-check config (benedict/py.typed)
54.7/55Manageable file sizes — 1/185 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes61,321
source_files_sampled185
oversized_source_files1

Key facts

1,607GitHub stars
10contributors
78commits, last 12 months
15days since last push
71releases
1bus factor
5open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'python-benedict' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for python-benedict carried forward from the previous scan (stats endpoint unavailable this scan)
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 55 ⇿
0Stars
55Forks
71Releases

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.

01020304050605432019-122023-042026-09
Major 0Minor 38Patch 33

Each point covers 7 days.

Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIpython-slugify>= 7.0.0, < 9.0.0pyproject.toml
PyPItyping_extensions>= 4.13.2, < 4.17.0pyproject.toml
All dependencies 52

Full resolved dependency set from the GitHub dependency graph: 3 direct and 49 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpython-slugify—direct
PyPIpython-slugify8.0.4direct
PyPItyping-extensions—direct
PyPIbeautifulsoup4—indirect
PyPIbeautifulsoup44.15.0indirect
PyPIboto3—indirect
PyPIboto31.43.83indirect
PyPIboto3-stubs1.43.83indirect
PyPIbuild—indirect
PyPIcertifi—indirect
PyPIcoverage—indirect
PyPIcyclonedx-bom—indirect
PyPIdecouple-types1.0.2indirect
PyPIftfy—indirect
PyPIftfy6.3.1indirect
PyPIidna—indirect
PyPImailchecker—indirect
PyPImailchecker6.0.21indirect
PyPImypy—indirect
PyPIopenpyxl—indirect
PyPIopenpyxl3.1.5indirect
PyPIorjson—indirect
PyPIphonenumbers—indirect
PyPIphonenumbers9.0.38indirect
PyPIpip-licenses—indirect
PyPIpre-commit—indirect
PyPIpydantic—indirect
PyPIpython-dateutil—indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-decouple3.8indirect
PyPIpython-fsutil—indirect
PyPIpython-fsutil0.17.0indirect
PyPIpyyaml—indirect
PyPIpyyaml6.0.3indirect
PyPIrequests—indirect
PyPIrequests2.34.2indirect
PyPItomli2.4.1indirect
PyPItomli-w—indirect
PyPItomli-w1.2.0indirect
PyPItox—indirect
PyPItypes-beautifulsoup44.12.0.20250516indirect
PyPItypes-html5lib1.1.11.20260518indirect
PyPItypes-openpyxl3.1.5.20260827indirect
PyPItypes-python-dateutil2.9.0.20260807indirect
PyPItypes-pyyaml6.0.12.20260815indirect
PyPItypes-toml0.10.8.20260518indirect
PyPItypes-xmltodict1.0.1.20260518indirect
PyPIurllib3—indirect
PyPIxlrd—indirect
PyPIxlrd2.0.2indirect
PyPIxmltodict—indirect
PyPIxmltodict1.0.4indirect
Dependency advisories 0

Installing pypi:python-benedict@0.38.0 pulls in 3 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

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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.