Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-10 02:54 UTC

OCA / contract

Python · HTMLAGPL-3.0★ 226 stars⑂ 627 forkssince Jun 2014View on GitHub ↗

OCA/contract holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Sustainability & Governance (87/100) and lowest on AI Readiness (35/100). It was last updated today. 9 contributors account for most of its recent work.

80
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.

80
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 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

5,097 followers272 public repossince May 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIodoo-addons-oca-contract19.0.20260922.23754517 days ago

Metrics by category

Vitality

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

53Moderate · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
24.2/36Commit cadence — 35/52 weeks with commits
18/18Commit volume — 198 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year198
human_commit_share1
days_since_last_push0
active_weeks_last_year35
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0
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?

78Good · 17% of overall
How it's scored
38.2/60Stars — 226 stars
23.3/25Forks — 627 forks
10/15Watchers — 65 watchers
Inputs used
forks627
stars226
watchers65
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (AGPL-3.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateno

Sustainability & Governance

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

87Excellent · 23% of overall
How it's scored
54/54Bus factor — 9 contributor(s) cover half of all commits
19.7/22.5Commit distribution — top contributor authored 12% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 29 contributing companies or organizations
Inputs used
bus_factor9
contributors_sampled100
top_contributor_share0.123
How it's scored
39.7/42Issue resolution — 94% of issues closed
19.5/30PR acceptance — 749/1,151 decided PRs merged
10.8/13Newcomer PR acceptance — 10/12 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 3/26 approved changesets -- score normalized to 1
Inputs used
merged_prs749
open_issues17
closed_issues294
prs_merged_7d6
prs_decided_7d8
prs_merged_30d32
prs_decided_30d37
issue_closed_ratio0.945
closed_unmerged_prs402
first_time_authors_30d7
first_time_prs_merged_30d10
first_time_prs_decided_30d12
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 5,097 followers of OCA
25/25Track record — 272 public repos, account ~12 yr old
Inputs used
followers5,097
owner_typeOrganization
is_verifiedno
owner_loginOCA
public_repos272
account_age_days4,529

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 17 days ago
20/20Version history — 45 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesodoo-addons-oca-contract
ecosystemspypi
any_deprecatedno
min_days_since_publish17

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — .pylintrc, .ruff.toml
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicshacktoberfest, odoo, erp, python
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionno

Security

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

50Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 3 out of 3 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
0.8/7.5Code-Review — Found 3/26 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 29 contributing companies or organizations
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 — 30 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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.9
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

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.

35Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
27.2/40Legible commit history — 51 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.51
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .pylintrc, .ruff.toml
0/11Static type checking
0/10Reproducible environment
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
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
54.6/55Manageable file sizes — 1/125 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes81,027
source_files_sampled125
oversized_source_files1

Key facts

226GitHub stars
100contributors
198commits, last 12 months
0days since last push
0releases
9bus factor
17open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 16 authors (cap 12)
  • No resolved dependencies carried a version and a supported ecosystem

More detail

Star and fork history 0 ★ / 627 ⇿
0Stars
627Forks

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.

010020030040050060059372014-072020-082026-09

Each point covers 12 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 · 2026-10-10 02:54 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 3/26 approved changesets -- score normalized to 1
10Contributorsproject has 29 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 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
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIodoo-addon-contract==19.0.*setup/_metapackage/pyproject.toml
PyPIodoo-addon-contract_analytic_tag==19.0.*setup/_metapackage/pyproject.toml
PyPIodoo-addon-contract_delivery_zone==19.0.*setup/_metapackage/pyproject.toml
PyPIodoo-addon-contract_invoice_auto_validate==19.0.*setup/_metapackage/pyproject.toml
PyPIodoo-addon-contract_line_successor==19.0.*setup/_metapackage/pyproject.toml
PyPIodoo-addon-contract_payment_mode==19.0.*setup/_metapackage/pyproject.toml
PyPIodoo-addon-contract_sale==19.0.*setup/_metapackage/pyproject.toml
PyPIodoo-addon-contract_termination==19.0.*setup/_metapackage/pyproject.toml
PyPIodoo-addon-contract_update_last_date_invoiced==19.0.*setup/_metapackage/pyproject.toml
PyPIodoo-addon-contract_variable_qty_prorated==19.0.*setup/_metapackage/pyproject.toml
PyPIodoo-addon-contract_variable_quantity==19.0.*setup/_metapackage/pyproject.toml
PyPIodoo-addon-subscription_oca==19.0.*setup/_metapackage/pyproject.toml
All dependencies 13

Full resolved dependency set from the GitHub dependency graph: 12 direct and 1 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIodoo-addon-contract—direct
PyPIodoo-addon-contract-analytic-tag—direct
PyPIodoo-addon-contract-delivery-zone—direct
PyPIodoo-addon-contract-invoice-auto-validate—direct
PyPIodoo-addon-contract-line-successor—direct
PyPIodoo-addon-contract-payment-mode—direct
PyPIodoo-addon-contract-sale—direct
PyPIodoo-addon-contract-termination—direct
PyPIodoo-addon-contract-update-last-date-invoiced—direct
PyPIodoo-addon-contract-variable-qty-prorated—direct
PyPIodoo-addon-contract-variable-quantity—direct
PyPIodoo-addon-subscription-oca—direct
PyPIopenupgradelib—indirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

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.