Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 21:39 UTC

ChocoTonic / fatsecret

Python library to access the fatsecret API

PythonMIT★ 43 stars⑂ 25 forkssince Sep 2014forkView on GitHub ↗
KindCommand-line toolLibraryhow this is determined

ChocoTonic/fatsecret holds a health index of 65 out of 100, placing it in the Good band. It scores highest on Vitality (81/100) and lowest on Community & Adoption (39/100). It was last updated 10 days ago. A single contributor accounts for most of its recent work.

65
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.

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

Ownership

ChocoTonicPersonal account
3 followers25 public repossince Jul 2018

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 publish
PyPIfatsecret5.1.12,5259410 days ago

Metrics by category

Vitality

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

81Excellent · 21% of overall

Development activity

68Good
How it's scored
28.8/36Push recency — last push 10 days ago
11.1/36Commit cadence — 16/52 weeks with commits
18/18Commit volume — 337 commits in the last year
10/10OpenSSF Scorecard: Maintained — 17 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year337
human_commit_share0.43
days_since_last_push10
active_weeks_last_year16

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 91 releases published
36/36Release recency — latest release 10 days ago
27/27Release cadence — a release every ~9.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count91
latest_release_tagv5.1.1
releases_from_tagsno
days_since_latest_release10
mean_days_between_releases9.2
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?

39Weak · 17% of overall

Popularity & adoption

40Weak
How it's scored
26.3/60Stars — 43 stars
11.5/25Forks — 25 forks
1.7/15Watchers — 3 watchers
Inputs used
forks25
stars43
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

25At Risk
How it's scored
0/22.5README
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_readmeno
has_licenseno
readme_badges2
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, readthedocs.org
has_pull_request_templateno

Ecosystem adoption (downloads)

57Moderate
How it's scored
45.4/80Monthly downloads — 2,525 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesfatsecret
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,525
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?

58Moderate · 23% of overall

Maintainer resilience (bus factor)

29At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.6/22.5Commit distribution — top contributor authored 84% of commits
6.8/13.5Contributor breadth — 5 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.839

Issue & PR responsiveness

72Good
How it's scored
33.6/42Issue resolution — 80% of issues closed
28.7/30PR acceptance — 158/165 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/25 approved changesets -- score normalized to 0
Inputs used
merged_prs158
open_issues1
closed_issues4
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio0.8
closed_unmerged_prs7
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

46Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
4.3/25Owner reach — 3 followers of ChocoTonic
22.3/25Track record — 25 public repos, account ~8 yr old
Inputs used
followers3
owner_typeUser
is_verified—
owner_loginChocoTonic
public_repos25
account_age_days2,978
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 10 days ago
20/20Version history — 94 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesfatsecret
ecosystemspypi
any_deprecatedno
min_days_since_publish10

Engineering Quality

Are baseline engineering and documentation practices in place?

61Moderate · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 12 out of 12 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

50Moderate
How it's scored
0/30README
25/25Documentation directory
15/15Documentation / homepage site — https://fatsecret.readthedocs.io/
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://fatsecret.readthedocs.io/
docs_sitehttps://fatsecret.readthedocs.io/
has_readmeno
has_docs_diryes
has_descriptionno

Security

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

59Moderate · 16% of overall

Security posture

49Weak
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 — 12 out of 12 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 0/25 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 17 commit(s) and 0 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 — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
1.5/7.5Vulnerabilities — 8 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.9
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, 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:fatsecret@5.1.1 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

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 41 of 43 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.953
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

58Moderate
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 13 of the last 100 commits are automated dependency updates
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_filesMakefile
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.13

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/94 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes43,399
source_files_sampled94
oversized_source_files0

Machine-readable interfaces

100Exceptional
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — docs/api-spec/openapi.yaml
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_filesdocs/api-spec/openapi.yaml
interfaces_expected_of—
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

43GitHub stars
5contributors
337commits, last 12 months
10days since last push
91releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 25 ⇿
0Stars
25Forks
78Releases

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.

05101520252522015-022020-102026-05
Major 4Minor 28Patch 46

Each point covers 11 days.

OpenSSF Scorecard 4.9 / 10
4.9aggregate

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 · 2026-09-19 21:39 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-Tests12 out of 12 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 0/25 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained17 commit(s) and 0 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
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
2Vulnerabilities8 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIbs4—pyproject.toml
PyPIlxml—pyproject.toml
PyPIpydantic>=2.7pyproject.toml
PyPIpython-dotenv—pyproject.toml
PyPIrequests>=2.32,<3pyproject.toml
PyPIrequests-oauthlib>=2.0.0pyproject.toml
PyPItenacity>=9.0pyproject.toml
All dependencies 94

Full resolved dependency set from the GitHub dependency graph: 8 direct and 86 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbs40.0.2direct
PyPIlxml6.1.1direct
PyPIpydantic2.13.4direct
PyPIpython-dotenv1.2.2direct
PyPIrequests—direct
PyPIrequests2.34.2direct
PyPIrequests-oauthlib2.0.0direct
PyPItenacity9.1.4direct
PyPIaccessible-pygments0.0.5indirect
PyPIalabaster1.0.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIanyio4.14.2indirect
PyPIattrs26.1.0indirect
PyPIautodoc-pydantic2.2.0indirect
PyPIbabel2.17.0indirect
PyPIbeautifulsoup44.14.2indirect
PyPIblack26.5.1indirect
PyPIcertifi2025.10.5indirect
PyPIcertifi2026.4.22indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.3.0indirect
PyPIclick8.3.3indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.11.0indirect
PyPIdocutils0.21.2indirect
PyPIfastapi0.141.1indirect
PyPIfatsecret5.1.0indirect
PyPIfuro2025.12.19indirect
PyPIh110.16.0indirect
PyPIhatchling—indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidna3.15indirect
PyPIimagesize1.4.1indirect
PyPIiniconfig2.3.0indirect
PyPIisort8.0.1indirect
PyPIjinja23.1.6indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.5.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlazy-object-proxy1.12.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImypy-extensions1.1.0indirect
PyPIoas-sync0.1.0indirect
PyPIoauthlib3.3.1indirect
PyPIopenapi-schema-validator0.9.0indirect
PyPIopenapi-spec-validator0.9.0indirect
PyPIpackaging26.2indirect
PyPIpathable0.6.0indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.5.0indirect
PyPIpluggy1.6.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.1indirect
PyPIpygments2.20.0indirect
PyPIpytest9.0.3indirect
PyPIpytest9.1.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytokens0.4.1indirect
PyPIpyyaml6.0.3indirect
PyPIrauth—indirect
PyPIreadthedocs-sphinx-search0.3.2indirect
PyPIreferencing0.37.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrich15.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.15.12indirect
PyPIruff0.15.18indirect
PyPIselectolax0.4.8indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsoupsieve2.8indirect
PyPIsphinx9.0.4indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstarlette1.6.0indirect
PyPItomli2.4.1indirect
PyPItyper0.25.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.52.4indirect
Dependency advisories 0

Installing pypi:fatsecret@5.1.1 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

Feedback

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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.