Public record
Software health reportschema 0.16.0 · metrics 2.10.0 · 2026-07-20 23:17 UTC

ChanTsune / django-boost

Extra batteries for Django, the batteries-included framework

PythonMIT★ 25 stars⑂ 6 forkssince May 2019View on GitHub ↗
KindLibraryNetwork servicehow this is determined

ChanTsune/django-boost holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on AI Readiness (53/100). It was last updated today. A single contributor accounts 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

ChanTsunePersonal account
26 followers59 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 publishTags
PyPIdjango_boost3.4-391 day agodjangoextension

Metrics by category

Vitality

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

81Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
3.5/36Commit cadence5/52 weeks with commits
18/18Commit volume322 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 22 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year322
human_commit_share
days_since_last_push0
active_weeks_last_year5

Release discipline

100Exceptional
How it's scored
27/27Ships releases39 releases published
36/36Release recencylatest release 1 days ago
27/27Release cadencea release every ~1.9 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count39
latest_release_tagv3.4.0
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases1.9
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?

58Moderate · 17% of overall
How it's scored
22.4/60Stars25 stars
5.8/25Forks6 forks
0/15Watchers1 watchers
Inputs used
forks6
stars25
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

57Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
1.1/22.5Commit distributiontop contributor authored 95% of commits
6.8/13.5Contributor breadth5 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.949
How it's scored
31.3/42Issue resolution74% of issues closed
28.8/30PR acceptance421/438 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/24 approved changesets -- score normalized to 0
Inputs used
merged_prs421
open_issues12
closed_issues35
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.745
closed_unmerged_prs17
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
10.3/25Owner reach26 followers of ChanTsune
24.9/25Track record59 public repos, account ~7 yr old
Inputs used
followers26
owner_typeUser
is_verified
owner_loginChanTsune
public_repos59
account_age_days2,917
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 1 days ago
20/20Version history39 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesdjango_boost
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter configtox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests24 out of 24 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://django-boost.readthedocs.io/en/latest/
10/10Repository description
10/10Topics4 topics
10/10Wiki
Inputs used
topicspython, django, boost-development, django-boost
has_wikiyes
homepagehttps://django-boost.readthedocs.io/en/latest/
docs_sitehttps://django-boost.readthedocs.io/en/latest/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests24 out of 24 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/24 approved changesets -- score normalized to 0
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 22 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
4.5/5SASTSAST tool detected but not run on all commits
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.7
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages59
unassessed_packages13
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 59 resolved dependencies against OSV. 13 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

53Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configtox.ini
11/11Static type checkingmypy.ini
10/10Reproducible environmentdevcontainer, lockfile
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency 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_devcontaineryes
has_linter_configyes
typecheck_configsmypy.ini
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (mypy.ini)
55/55Manageable file sizes0/218 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes26,860
source_files_sampled218
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examplesexample
Inputs used
example_dirsexample
has_mcp_signalno
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

25GitHub stars
5contributors
322commits, last 12 months
0days since last push
39releases
1bus factor
12open issues
PyPIpackage ecosystems

Data collection warnings

  • deps.dev does not index pypi:django_boost@3.4; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 5.7 / 10
5.7aggregate

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 · 2026-07-20 23:17 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests24 out of 24 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 0/24 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 22 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
9SASTSAST tool detected but not run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIDjango>=4.2,<6pyproject.toml
PyPIDjango>=5.1,<6pyproject.toml
All dependencies 72

Full resolved dependency set from the GitHub dependency graph: 2 direct and 70 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdjangodirect
PyPIdjango5.2.16direct
PyPIalabaster1.0.0indirect
PyPIasgiref3.12.1indirect
PyPIast-serialize0.6.0indirect
PyPIautopep8indirect
PyPIautopep82.3.2indirect
PyPIbabel2.18.0indirect
PyPIcachetools7.1.4indirect
PyPIcertifi2026.6.17indirect
PyPIcharset-normalizer3.4.9indirect
PyPIcodecovindirect
PyPIcolorama0.4.6indirect
PyPIcoverageindirect
PyPIcoverage7.15.2indirect
PyPIdistlib0.4.3indirect
PyPIdjango-stubs6.0.7indirect
PyPIdjango-stubs-ext6.0.7indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIfilelock3.30.2indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.13.0indirect
PyPImarkupsafe3.0.3indirect
PyPImypy2.1.0indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIpillowindirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpycodestyle2.14.0indirect
PyPIpygments2.20.0indirect
PyPIpyproject-api1.10.1indirect
PyPIpython-discovery1.4.4indirect
PyPIrequests2.34.2indirect
PyPIroman-numerals4.1.0indirect
PyPIsetuptoolsindirect
PyPIsnowballstemmer3.1.1indirect
PyPIsphinxindirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-rtd-themeindirect
PyPIsphinx-rtd-theme3.1.0indirect
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
PyPIsqlparse0.5.5indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItoxindirect
PyPItox4.56.4indirect
PyPItox-travisindirect
PyPItypes-pyyaml6.0.12.20260518indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.3indirect
PyPIua-parserindirect
PyPIua-parser1.0.2indirect
PyPIua-parser-builtins202606indirect
PyPIurllib32.7.0indirect
PyPIuser-agentsindirect
PyPIuser-agents2.2.0indirect
PyPIvirtualenv21.6.1indirect
PyPIwheelindirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 59 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 13 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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 v0.16.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.