Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 13:20 UTC

ddrous / warp

Official implementation of Weight-Space Linear Recurrent Neural Networks (ICLR 2026)

HTMLNo license detected★ 7 stars⑂ 1 forksince Apr 2025View on GitHub ↗
#recurrent-neural-networks#weight-space-learning#zero-shot-learning

ddrous/warp holds a health index of 30 out of 100, placing it in the At Risk band. It scores highest on Sustainability & Governance (62/100) and lowest on AI Readiness (14/100). It was last updated 272 days ago.

30
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.

30
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 36 is calibrated to 30 on the published index scale (record calibration 2026-08-02).

Ownership

Roussel Desmond NzoyemPersonal account
39 followers93 public repossince Jan 2017

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

Metrics by category

Vitality

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

34At Risk · 21% of overall

Development activity

12Critical
How it's scored
3.6/36Push recency — last push 272 days ago
2.1/36Commit cadence — 3/52 weeks with commits
6.3/18Commit volume — 4 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_year4
human_commit_share0.985
days_since_last_push272
active_weeks_last_year3

Release discipline

68Good
How it's scored
27/27Ships releases — 4 releases published
7.2/36Release recency — latest release 465 days ago
27/27Release cadence — a release every ~9.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count4
latest_release_tagv0.0.4
releases_from_tagsno
days_since_latest_release465
mean_days_between_releases9.7
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?

19Critical · 17% of overall

Popularity & adoption

13Critical
How it's scored
12.6/60Stars — 7 stars
0/25Forks — 1 forks
0/15Watchers — 1 watchers
Inputs used
forks1
stars7
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

25At Risk
How it's scored
22.5/22.5README
0/22.5License — no license file detected
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseno
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?

62Moderate · 23% of overall

Issue & PR responsiveness

67Good
How it's scored
0/42Issue resolution — no issues or no data
30/30PR acceptance — 1/1 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/28 approved changesets -- score normalized to 0
Inputs used
merged_prs1
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio—
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): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

58Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
11.5/25Owner reach — 39 followers of ddrous
25/25Track record — 93 public repos, account ~9 yr old
Inputs used
followers39
owner_typeUser
is_verified—
owner_loginddrous
public_repos93
account_age_days3,509
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

25At Risk · 19% of overall

Engineering practices

1Critical
How it's scored
0/24CI workflows
0/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 1 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_cino
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

60Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 3 topics
10/10Wiki
Inputs used
topicsrecurrent-neural-networks, weight-space-learning, zero-shot-learning
has_wikiyes
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

Security posture

21At Risk
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 — 0 out of 1 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/28 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
0/10Dangerous-Workflow — no data
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
0/2.5License — license file not detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — no data
0/5Pinned-Dependencies — no data
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 — no data
0/7.5Vulnerabilities — 189 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate2.1
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories349
affected_packages39
assessed_packages282
unassessed_packages0
affected_by_severitycritical 8, high 20, moderate 9, low 2
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 282 resolved dependencies against OSV. 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.

14Critical · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0.8/40Legible commit history — 1 of 64 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.016
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

9Critical
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 65
8/8Automated maintenance — 1 of the last 65 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
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_share0.015
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.

Code legibility for models

52Moderate
How it's scored
0/45Type-checkable code — HTML without a type-check config
51.9/55Manageable file sizes — 1/18 source files over 60KB
Inputs used
primary_languageHTML
largest_source_bytes80,494
source_files_sampled18
oversized_source_files1

Key facts

7GitHub stars
-contributors
4commits, last 12 months
272days since last push
4releases
-bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • No human contributors found; every contributor is an automation account

More detail

OpenSSF Scorecard 2.1 / 10
2.1aggregate

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 · 2026-09-10 13:20 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 1 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/28 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
0Licenselicense file not detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
0Vulnerabilities189 existing vulnerabilities detected
All dependencies 282

Full resolved dependency set from the GitHub dependency graph: 0 direct and 282 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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Dependency advisories 39

This repository publishes no package the index resolves, so its own dependency graph was assessed — 282 packages, which also include development and test pins that never ship: 39 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
black24.10.0indirectcritical326.3.1
gitpython3.1.44indirectcritical523.1.59
jupyterlab4.0.10indirectcritical217.5.6
keras3.4.1indirectcritical343.15.0
notebook7.0.6indirectcritical107.5.6
pillow10.2.0indirectcritical3012.3.0
torch2.2.2+cpuindirectcritical232.13.0
vtk9.3.0indirectcritical39.5.1
certifi2023.11.17indirecthigh22024.7.4
click8.1.7indirecthigh18.3.3
gdown5.2.0indirecthigh25.2.2
hydra-core1.3.2indirecthigh21.3.4
idna3.6indirecthigh43.15
jinja23.1.3indirecthigh83.1.6
jupyter-core5.7.1indirecthigh25.8.1
jupyter-server2.12.5indirecthigh142.20.0
markdown3.6indirecthigh23.8.1
mistune3.0.2indirecthigh303.3.0
msgpack1.0.8indirecthigh21.2.1
protobuf4.25.3indirecthigh46.33.5
pyarrow15.0.0indirecthigh323.0.1
pyasn10.6.1indirecthigh100.6.4
setuptools68.2.2indirecthigh683.0.0
soupsieve2.5indirecthigh42.8.4
tornado6.5.1indirecthigh216.5.8
urllib32.1.0indirecthigh122.7.0
werkzeug3.0.3indirecthigh103.1.6
wheel0.41.2indirecthigh20.46.2
bleach6.1.0indirectmoderate26.4.0
filelock3.16.1indirectmoderate43.20.3
fonttools4.47.2indirectmoderate24.60.2
nbconvert7.14.2indirectmoderate67.17.1
pytest8.1.1indirectmoderate29.0.3
requests2.31.0indirectmoderate62.33.0
scikit-learn1.4.1.post1indirectmoderate21.5.0
virtualenv20.28.0indirectmoderate220.36.1
zipp3.18.1indirectmoderate23.19.1
pygments2.17.2indirectlow22.20.0
tqdm4.66.2indirectlow24.66.3

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.

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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.