Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 23:23 UTC

gioodm / wasp-proteins-annotation

Python command-line software for whole-proteomes annotation based on structural homology.

PythonMIT★ 8 stars⑂ 0 forkssince Jun 2025View on GitHub ↗
KindCommand-line toolhow this is determined

gioodm/wasp-proteins-annotation holds a health index of 27 out of 100, placing it in the At Risk band. It scores highest on Vitality (45/100) and lowest on AI Readiness (11/100). It was last updated 91 days ago. A single contributor accounts for most of its recent work.

27
overall / 100
At Risk

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.

27
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 33 is calibrated to 27 on the published index scale (record calibration 2026-08-02).

Ownership

Giorgia Del MissierPersonal account
8 followers15 public repossince Jun 2022RLAlab & Faisal lab - Imperial College London

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
PyPIwasp-proteins-annotationpoints to another repo — not scored2.0-11133 days ago

Metrics by category

Vitality

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

45Weak · 21% of overall
How it's scored
9.9/36Push recency — last push 91 days ago
4.2/36Commit cadence — 6/52 weeks with commits
11.3/18Commit volume — 17 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year17
human_commit_share1
days_since_last_push91
active_weeks_last_year6
How it's scored
27/27Ships releases — 2 releases published
27/36Release recency — latest release 92 days ago
19.8/27Release cadence — a release every ~71 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count2
latest_release_tagv2.0
releases_from_tagsno
days_since_latest_release92
mean_days_between_releases71

Community & Adoption

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

31At Risk · 17% of overall
How it's scored
13.7/60Stars — 8 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars8
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

19Critical · 23% of overall
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
How it's scored
0/42Issue resolution — 0% of issues closed
0/30PR acceptance — no decided pull requests or no data
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_prs0
open_issues1
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0
closed_unmerged_prs0
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
6.9/25Owner reach — 8 followers of gioodm
17.2/25Track record — 15 public repos, account ~4 yr old
Inputs used
followers8
owner_typeUser
is_verified—
owner_logingioodm
public_repos15
account_age_days1,548
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

38Weak · 19% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
0/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 6 topics
0/10Wiki
Inputs used
topicsalphafold2, genome-annotation, genome-scale-metabolic-model, structural-homology, synthetic-biology, systems-biology
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

37Weak · 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
0/2.5CI-Tests — no data
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
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 11 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.2
Excluded from scoring (no data or not applicable): CI-Tests. Remaining weights renormalized.
How it's scored
11.1/35Direct dependencies free of known advisories — 3 affected: urllib3 2.2.1 (high 7.5), biopython 1.84.0 (moderate 4.9), requests 2.32.2 (moderate 5.5)
19/25Indirect dependencies free of known advisories — 1 affected: diskcache 5.6.3 (moderate)
26.3/40No advisories left outstanding — 4 advisory-carrying package(s) unaddressed past 90 days; oldest published 814 days ago
Inputs used
sourceosv
advisories22
affected_packages4
assessed_packages79
unassessed_packages0
affected_by_severityhigh 1, moderate 3
direct_affected_packages3
Matched the pypi:wasp-proteins-annotation@2.0 runtime dependency closure — what installing the published package pulls in — 79 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.

11Critical · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
3/40Legible commit history — 2 of 35 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.057
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
0/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 35
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_testsno
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
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
55/55Manageable file sizes — 0/23 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes29,490
source_files_sampled23
oversized_source_files0

Key facts

8GitHub stars
1contributors
17commits, last 12 months
91days since last push
2releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'wasp-proteins-annotation' points at a different repository (https://github.com/gioodm/WASP); excluded from ecosystem scoring
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

More detail

OpenSSF Scorecard 3.2 / 10
3.2aggregate

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 · 2026-09-09 23:22 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
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
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities11 existing vulnerabilities detected
Direct dependencies 19
RegistryPackageVersion constraintManifest
PyPIaltair==5.2.0pyproject.toml
PyPIaltair-data-server==0.4.1pyproject.toml
PyPIaltair-saver==0.5.0pyproject.toml
PyPIaltair-viewer==0.4.0pyproject.toml
PyPIbiopython==1.84pyproject.toml
PyPIcobra==0.29.0pyproject.toml
PyPImatplotlib==3.9.0pyproject.toml
PyPImultiprocess==0.70.16pyproject.toml
PyPInetworkx==3.3pyproject.toml
PyPInumpy==1.26.4pyproject.toml
PyPIopenpyxl==3.1.2pyproject.toml
PyPIpandas==2.2.2pyproject.toml
PyPIrequests==2.32.2pyproject.toml
PyPIscipy==1.11.4pyproject.toml
PyPIstatsmodels==0.14.2pyproject.toml
PyPItqdm==4.66.4pyproject.toml
PyPIurllib3==2.2.1pyproject.toml
PyPIvl-convert-python==1.4.0pyproject.toml
PyPIXlsxWriter==3.2.0pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Dependency advisories 4

Installing pypi:wasp-proteins-annotation@2.0 pulls in 79 packages, direct and transitive: 4 carry known advisories, of which 3 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
urllib32.2.1directhigh142.7.0
biopython1.84.0directmoderate21.87
requests2.32.2directmoderate42.33.0
diskcache5.6.3indirectmoderate2—

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.