Public record
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-31 03:13 UTC

NVIDIA-Merlin / models

Merlin Models is a collection of deep learning recommender system model reference implementations

PythonApache-2.0★ 301 stars⑂ 56 forkssince May 2021View on GitHub ↗

NVIDIA-Merlin/models holds a health index of 35 out of 100, placing it in the At risk band. It scores highest on Engineering Quality (84/100) and lowest on Vitality (19/100). It was last updated 817 days ago. 4 contributors account for most of its recent work.

35
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; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

35
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.

Abandonment Policy applies a 60% multiplier to weighted overall health and gives it a ceiling of 49.

Ownership

NVIDIA-MerlinOrganization
468 followers15 public repossince Mar 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPImerlin-models23.12.02,43117933 days ago

Metrics by category

Vitality

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

19Critical · 22% of overall
How it's scored
0/36Push recency — last push 817 days ago
0/36Commit cadence — 0/52 weeks with commits
0/18Commit volume — 0 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_year0
human_commit_share1
days_since_last_push817
active_weeks_last_year0
How it's scored
27/27Ships releases — 18 releases published
0/36Release recency — latest release 933 days ago
19.8/27Release cadence — a release every ~49.1 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count18
latest_release_tagv23.12.00
releases_from_tagsno
days_since_latest_release933
mean_days_between_releases49.1

Community & Adoption

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

66Moderate · 18% of overall
How it's scored
40.2/60Stars — 301 stars
14.5/25Forks — 56 forks
7.4/15Watchers — 22 watchers
Inputs used
forks56
stars301
watchers22
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingyes
has_issue_templateno
has_code_of_conductno
has_pull_request_templateyes
How it's scored
45.1/80Monthly downloads — 2,431 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmerlin-models
dependents
ecosystemspypi
total_downloads
monthly_downloads2,431
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?

76Good · 24% of overall
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
18.2/22.5Commit distribution — top contributor authored 19% of commits
13.5/13.5Contributor breadth — 25 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor4
contributors_sampled25
top_contributor_share0.193
How it's scored
33/46.8Issue resolution — 70% of issues closed
31.4/38.3PR acceptance — 596/726 decided PRs merged
13.5/15OpenSSF Scorecard: Code-Review — Found 29/30 approved changesets -- score normalized to 9
Inputs used
merged_prs596
open_issues146
closed_issues349
issue_closed_ratio0.705
closed_unmerged_prs130
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
19.2/25Owner reach — 468 followers of NVIDIA-Merlin
19.4/25Track record — 15 public repos, account ~5 yr old
Inputs used
followers468
owner_typeOrganization
is_verified
owner_loginNVIDIA-Merlin
public_repos15
account_age_days1,949
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
4/35Publish recency — latest publish 933 days ago
20/20Version history — 17 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmerlin-models
ecosystemspypi
any_deprecatedno
min_days_since_publish933

Engineering Quality

Are baseline engineering and documentation practices in place?

84Good · 20% of overall
How it's scored
24/24CI workflows — 23 workflow(s)
24/24Tests present
16/16Linter config — tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 30 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://nvidia-merlin.github.io/models/main/index.html
10/10Repository description
10/10Topics — 10 topics
10/10Wiki
Inputs used
topicsdeep-learning, machine-learning, pytorch, recommendation-system, recommender-system, tensorflow, dask, gpu, rapidsai, recsys
has_wikiyes
homepagehttps://nvidia-merlin.github.io/models/main/index.html
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

52Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
0/2.5CI-Tests — 0 out of 30 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
6.8/7.5Code-Review — Found 29/30 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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
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 — Project has not signed or included provenance with any releases.
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
Excluded from scoring (no data or not applicable): branch_protection, packaging. Remaining weights renormalized.
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
advisories7
affected_packages2
assessed_packages13
unassessed_packages33
affected_by_severitycritical 1, moderate 1
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 13 resolved dependencies against OSV. 33 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? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

55Moderate · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 95 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.95
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config — tox.ini
11/11Static type checking — merlin/models/py.typed
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_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsmerlin/models/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (merlin/models/py.typed)
54.7/55Manageable file sizes — 2/359 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes105,307
source_files_sampled359
oversized_source_files2
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples, notebooks, recipes
Inputs used
example_dirsexamples, notebooks, recipes
has_mcp_signalno
api_schema_files

Key facts

301GitHub stars
25contributors
0commits, last 12 months
817days since last push
18releases
4bus factor
146open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 56 ⇿
0Stars
56Forks
18Releases

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.

01020304050605642022-022024-042026-07
Major 0Minor 17Patch 1

Each point covers 5 days.

OpenSSF Scorecard 4.0 / 10
4.0aggregate

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 · 2026-07-31 03:12 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
0CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 29/30 approved changesets -- score normalized to 9
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
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
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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 46

Full resolved dependency set from the GitHub dependency graph: 0 direct and 46 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIattrs21.4.0indirect
PyPIblack20.8b1indirect
PyPIbokehindirect
PyPIcheck-manifestindirect
PyPIcolorlogindirect
PyPIfiddle0.2.2indirect
PyPIflake8indirect
PyPIgitpythonindirect
PyPIhorovodindirect
PyPIimplicitindirect
PyPIinterrogate1.5.0indirect
PyPIipython8.2.0indirect
PyPIisortindirect
PyPIjinja2indirect
PyPIjsonschema4.17.3indirect
PyPIjupyterindirect
PyPIlightfmindirect
PyPIlightning-utilitiesindirect
PyPIlinkify-it-py1.0.3indirect
PyPImarkupsafe2.0.1indirect
PyPImerlin-coreindirect
PyPImerlin-dataloaderindirect
PyPImypyindirect
PyPImyst-nb0.17.2indirect
PyPInatsort8.1.0indirect
PyPInbformat5.9.2indirect
PyPInumpyindirect
PyPInvtabularindirect
PyPIoptunaindirect
PyPIplotlyindirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIpytest-xdistindirect
PyPIpytorch-lightningindirect
PyPIrecommonmark0.7.1indirect
PyPIscikit-learnindirect
PyPIsparse-operation-kitindirect
PyPIsphinx-book-themeindirect
PyPIsphinx-external-toc0.2.4indirect
PyPItensorflowindirect
PyPItestbookindirect
PyPItorchindirect
PyPItorchmetricsindirect
PyPItransformersindirect
PyPIwandbindirect
PyPIxgboostindirect
Dependency advisories 2

This repository publishes no package the index resolves, so its own dependency graph was assessed — 13 packages, which also include development and test pins that never ship: 2 carry known advisories, of which 0 are direct. 33 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
black20.8b1indirectcritical526.3.1
ipython8.2.0indirectmoderate28.10.0

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
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        },
        {
          "oid": "96fcccedd43cbdf470fe3322ea3978a9c82242d5",
          "body": "This PR replaces the `copy_prs` functionality from the `ops-bot` with the new dedicated `copy-pr-bot` GitHub application.\r\n\r\nThorough documentation for the new `copy-pr-bot` application can be viewed below.\r\n\r\n- https://docs.gha-runners.nvidia.com/apps/copy-pr-bot/\r\n\r\n**Important**: `copy-pr-bot` en\n[…]\nha-runners.nvidia.com/cpr/contributors.\r\n\r\nThis information is all included on the documentation page linked above.\r\n\r\n_I've skipped CI on this PR since it's not a change that is tested._\r\n\r\n[skip ci]",
          "is_bot": false,
          "headline": "Use `copy-pr-bot` (#1209)",
          "author_name": "AJ Schmidt",
          "author_login": "ajschmidt8",
          "committed_at": "2023-09-05T17:03:56Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a1d0be2a00248696e1c1c6d9b299ae904b94b9aa",
          "body": "…rained embeddings) (#1198)\n\n* Making retrieval model to_top_k_model(), candidate_embeddings() and batch_predict() support Loader with transforms for pre-trained embeddings in item tower\r\n\r\n* Fixing test error and ensuring all batch_predict() with the new API support Loader with transforms (which in\n[…]\nhich was using wrong schema to export query and item embeddings\r\n\r\n* Added missing importorskip on torch and pytorch_lightning for torch integration tests\r\n\r\n* Skiping a test if nvtabular is available",
          "is_bot": false,
          "headline": "Makes RetrievalModelV2 support item tower with transforms (e.g. pre-t…",
          "author_name": "Gabriel Moreira",
          "author_login": "gabrielspmoreira",
          "committed_at": "2023-07-20T22:42:28Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "52c89a4e7a89d80a89f8f366c25ad277a378a030",
          "body": "* first impelementation of tabular predict next\r\n\r\n* add unit tests\r\n\r\n* include PR comments\r\n\r\n* fix docstrings description\r\n\r\n* include Marc comments\r\n\r\n* add torchscript support to TabularPredictNextModule\r\n\r\n---------\r\n\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Add TabularPredictNext for causal item prediction task (#1202)",
          "author_name": "Sara Rabhi",
          "author_login": "sararb",
          "committed_at": "2023-07-18T17:03:37Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fe7a9f4569ad5a56a4d53cf69e399bc086572516",
          "body": "* First pass over generic map\r\n\r\n* Adding user-facing map/walk\r\n\r\n* Expose map & walk in __init__\r\n\r\n* Trying to fix failing tests",
          "is_bot": false,
          "headline": "Add generic map that works on any Module (#1203)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-18T00:05:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f035867658436b041de684ba32f3892c68428fe8",
          "body": "* Adding CrossAttentionBlock\r\n\r\n* Fix failing test by setting dropout=0.0\r\n\r\n* proposed changes\r\n\r\n---------\r\n\r\nCo-authored-by: edknv <edwardk@nvidia.com>\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Adding CrossAttentionBlock (#1193)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-12T21:28:52Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "28b690cd39a187e658ad37edff1d8f0786d16bd6",
          "body": "* Adding sequence-defaults in TabularInputBlock\r\n\r\n* First pass over stack_context\r\n\r\n* Fixing failing tests",
          "is_bot": false,
          "headline": "Adding sequence-defaults in TabularInputBlock (#1200)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-12T16:02:24Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8b1ff945f8e9a42b5abfecef87b4e1c24a34a629",
          "body": "…. (#1194)\n\n* First commit\r\n\r\n* Implementing more methods in ContainerMixin\r\n\r\n* Add recurse flag to all functional methods\r\n\r\n* Adding ContainerMixin\r\n\r\n* Fixing merge-conflicts\r\n\r\n* Adding freeze and unfreeze\r\n\r\n* Fix recurse in filter & choose\r\n\r\n* Revert \"Fix recurse in filter & choose\"\r\n\r\nThis \n[…]\naf935b1f81b3a72add7de03f1937.\r\n\r\n* proposal for recursive filter and choose\r\n\r\n---------\r\n\r\nCo-authored-by: edknv <edwardk@nvidia.com>\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Add functional-methods to make it easier to transform blocks & models…",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-12T07:24:50Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "3b14b9665cb34de8b72b37933ba001e16db3ba93",
          "body": null,
          "is_bot": false,
          "headline": "Rename setup_schema to initialize_from_schema in TabularPadding (#1199)",
          "author_name": "edknv",
          "author_login": "edknv",
          "committed_at": "2023-07-11T20:56:16Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3431321c83e6a3fa69711af1cf0a54b1f7da6b0b",
          "body": "* Introducing BatchBlock\r\n\r\n* Introducing BatchBlock\r\n\r\n* Adding type-hint to model.pre\r\n\r\n* Adding doc-strings to BatchBlock\r\n\r\n* Adding match= to pytest.raises\r\n\r\n* Adding EncoderBlock, this should be returned when you do model.select\r\n\r\n* Running linting\r\n\r\n* Fixing merge-conflicts\r\n\r\n* Running linting\r\n\r\n* Fix according to PR-comments\r\n\r\n* Fix according to PR-comments",
          "is_bot": false,
          "headline": "Introducing BatchBlock (#1192)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-11T16:58:03Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "25004188ad73798c82008ba7ae612e1b0573e776",
          "body": null,
          "is_bot": false,
          "headline": "Adding * selection of schema (#1197)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-11T16:27:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "86ac77983a823079ed9dcde35b27ed444cc8cbe5",
          "body": "* First commit\r\n\r\n* Adding BroadcastToSequence\r\n\r\n* Adding to __init__\r\n\r\n---------\r\n\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Adding BroadcastToSequence (#1195)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-11T15:26:08Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "36d582ac24b639ccd6eb726ad2d80ced1417e077",
          "body": null,
          "is_bot": false,
          "headline": "Apply rename to initialize_from_schema to ContrastiveOutput (#1196)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-11T14:58:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8a9e5ea4182faf612aab2b1f6e8cabcf5986d684",
          "body": "…ch model properties for training (#1187)\n\n* Making it possible to set optimizer and scheduler via model properties\r\n\r\n* Proposal to change the signature of configure_optimizers to make tests pass\r\n\r\n* Fixed merge issue\r\n\r\n* Ignoring Model.optimizer property in jit tracing\r\n\r\n* Checking PyTorch version for defining LRScheduler based type\r\n\r\n* Fixed LRScheduler dependent version references\r\n\r\n---------\r\n\r\nCo-authored-by: Marc Romeyn <marcromeyn@gmail.com>",
          "is_bot": false,
          "headline": "Making it possible to set optimizer and scheduler instances via PyTor…",
          "author_name": "Gabriel Moreira",
          "author_login": "gabrielspmoreira",
          "committed_at": "2023-07-11T11:13:50Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "219bedbf666208d1743465035fa876f3315cc65d",
          "body": "* Rename `setup_schema` to `initialize_from_schema`\r\n\r\n* Add test for tracing with initialize_from_schema\r\n\r\n* Infer feature schema from batch argument signature\r\n\r\n* Add missing self\r\n\r\n* Rename `setup_schema` in input and output blocks\r\n\r\n---------\r\n\r\nCo-authored-by: Marc Romeyn <marcromeyn@gmail.com>",
          "is_bot": false,
          "headline": "Enable lazy module initialization from schema for any module (#1186)",
          "author_name": "Oliver Holworthy",
          "author_login": "oliverholworthy",
          "committed_at": "2023-07-11T09:55:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d2113e870b9bd7f79495d3ee022fcc0ee9b01b77",
          "body": "* First pass over MMOEBlock & PLEBlock\r\n\r\n* Adding some simple tests for MMOEBlock\r\n\r\n* Adding some doc-strings\r\n\r\n* Fixing failing tests\r\n\r\n* Increase test-coverage\r\n\r\n* Improving doc-strings\r\n\r\n* Fixing failing tests",
          "is_bot": false,
          "headline": "Adding MMOE & PLE (#1173)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-11T08:35:15Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "190cd48917c1999af5db0f6bede563d2bcd5792e",
          "body": "* Adding ContrastiveOutput\r\n\r\n* Fixing failing tests\r\n\r\n* Use the version of LogUniformSampler from Gabriel instead",
          "is_bot": false,
          "headline": "Adding ContrastiveOutput (#1191)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-11T08:07:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "145e5923b35ed7a8912e089ec83363ba53c64b0a",
          "body": "* First pass over multi-GPU\r\n\r\n* Multi-gpu test passes now locally (without metric calculations)\r\n\r\n* Introducing MultiLoader & add auto-initialization of Model\r\n\r\n* Enable multi-GPU with metric-calculations\r\n\r\n* Remove un-used to method in ModelOutput\r\n\r\n* fix test for cpu\r\n\r\n* use multigpu marker\r\n[…]\nt rank\r\n\r\n* Add comment for follow up tasks\r\n\r\n* lint\r\n\r\n* fix test for cpu\r\n\r\n---------\r\n\r\nCo-authored-by: edknv <edwardk@nvidia.com>\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Enabling data-parallel multi-GPU training (#1188)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-10T12:48:39Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "c5afbd134f06be23d2f0b63893da7e003ad17b35",
          "body": "* Add DCN Model\r\n\r\n* improve docstrings\r\n\r\n---------\r\n\r\nCo-authored-by: Marc Romeyn <marcromeyn@gmail.com>",
          "is_bot": false,
          "headline": "Add DCN Model (#1185)",
          "author_name": "edknv",
          "author_login": "edknv",
          "committed_at": "2023-07-08T10:52:10Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7c629ec3e0a32635bd7979fa8dcf2b71b8c9684e",
          "body": "* Update docs theme from `sphinx_rtd_theme` to `sphinx_book_theme`\r\n\r\n* Add missing `PrepareListFeatures` to merlin.models.tf module\r\n\r\n* Add upper bound on tensorflow version",
          "is_bot": false,
          "headline": "Update docs theme from `sphinx_rtd_theme` to `sphinx_book_theme` (#1189)",
          "author_name": "Oliver Holworthy",
          "author_login": "oliverholworthy",
          "committed_at": "2023-07-06T15:24:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "58ce8c15fef5de2e034bb6619201049285b1914d",
          "body": "* Making schema optional in TabularInputBlock to allow for nesting\r\n\r\n* Adding tests to ensure correct behaviour\r\n\r\n* Fixing failing test\r\n\r\n---------\r\n\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Making input- and output-block lazy to allow for nesting (#1184)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-06T11:05:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9922f2522c3ab0644f6ceec422bfae952cf537c4",
          "body": "…ased example (#1160)\n\n* Remove 2 examples (move to Merlin)\r\n* Move session-based ecommerce example one level up, from usecases to\r\n  examples\r\n* Delete benchmarking (asvdb) test (move to Merlin)\r\n* add link/fix image links",
          "is_bot": false,
          "headline": "Remove examples spanning multiple repos / promote ecommerce session-b…",
          "author_name": "Radek Osmulski",
          "author_login": "radekosmulski",
          "committed_at": "2023-07-06T05:47:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "83211414c54d1462d6b82bf366a1f3b48bc40d18",
          "body": "* Adding extra test for leaf\r\n\r\n* Some fixes\r\n\r\n* First commit\r\n\r\n* Adding logits_temperature scaling\r\n\r\n* move schema and metrics from output base to children\r\n\r\n* add docstrings\r\n\r\n* delay class initialization in add_route_for_each\r\n\r\n* add unit tests\r\n\r\n* add docstrings\r\n\r\n* add more unit tests\r\n\n[…]\n\n* Fixing failing tests\r\n\r\n* Fixing failing tests\r\n\r\n* Fixing failing tests\r\n\r\n---------\r\n\r\nCo-authored-by: edknv <edwardk@nvidia.com>\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Add CategoricalOutput (#1158)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-05T17:25:22Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "8c6bf054b9631bc1edde7a134b1f6f7ec529003a",
          "body": null,
          "is_bot": false,
          "headline": "Adding ElementWiseSum (#1183)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-05T16:07:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "afc1149c71472f1d64f8a93b6c6d61e11e34e08b",
          "body": "… right ToTupleModule (#1182)",
          "is_bot": false,
          "headline": "Adding ToTuple function that uses the length of the schema to get the…",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-05T14:33:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "eddc2ab6212ef10ccee9f9b304887300a28f03e8",
          "body": "* Create input_schema and output_schema methods on Block\r\n\r\n* Expose schema functions from merlin.models.torch\r\n\r\n* Rename input/output schema and add to top level torch module\r\n\r\n* Revert input/output schema methods on Block\r\n\r\n* Remove whitespace form torch `__init__.py`\r\n\r\n* Re-format schema.py",
          "is_bot": false,
          "headline": "Rename Schema Inspection names in the torch schema module   (#1179)",
          "author_name": "Oliver Holworthy",
          "author_login": "oliverholworthy",
          "committed_at": "2023-07-05T12:43:42Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a64fd32ebe9353ccb5cb2fa12d16f6a49de969b3",
          "body": null,
          "is_bot": false,
          "headline": "Adding validation_step and test_step to Model (#1181)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-05T08:36:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e2930f8396920656eebf61f7f612782e978c6cf4",
          "body": "* add padding op\r\n\r\n* remove unused mask prefix\r\n\r\n* Apply suggestions from code review\r\n\r\nCo-authored-by: Marc Romeyn <marcromeyn@gmail.com>\r\n\r\n* Add test for tracing the model with torchscript\r\n\r\n* fix linting\r\n\r\n* add module_test to test_padded_targets\r\n\r\n---------\r\n\r\nCo-authored-by: Marc Romeyn <marcromeyn@gmail.com>\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Add padding operator to the PyTorch API (#1177)",
          "author_name": "Sara Rabhi",
          "author_login": "sararb",
          "committed_at": "2023-07-04T17:58:32Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0b1c198a8def67b2125b006a63de95c9391ac4d1",
          "body": "* Adding ToTuple\r\n\r\n* Add Schema to ToTuple-classes to ensure correct order",
          "is_bot": false,
          "headline": "Adding ToTuple (#1178)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-04T17:13:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4fbf82161118c0c7a36652046f4a903091c2de3f",
          "body": "* Change default loss in BinaryOutput to BCELoss\r\n\r\n* Some commit\r\n\r\n* Fixing failing tests\r\n\r\n---------\r\n\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Change default loss in BinaryOutput to BCELoss (#1175)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-04T16:19:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bb8b7bd87fac0984dee14814f475e19fea33a4f4",
          "body": "…eatures (#1169)\n\n* Making retrieval encoders more trustworthy by setting the map_partitions(meta) with the expected output dataframe schema. This fixes the issue when multi-hot features were used in the user / item tower encoding\r\n\r\n* Changing back the schema of music_streaming_data fixture and doing the required changes within test_two_tower_v2_export_item_tower_embeddings_with_seq_item_features",
          "is_bot": false,
          "headline": "Fixes retrieval encoders when query / item features have dense list f…",
          "author_name": "Gabriel Moreira",
          "author_login": "gabrielspmoreira",
          "committed_at": "2023-07-04T14:37:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1782b44db351e1c6d0df085826a4bdd10d531f71",
          "body": "* Add DLRM Model\r\n\r\n* make model a class rather a function\r\n\r\n---------\r\n\r\nCo-authored-by: Marc Romeyn <marcromeyn@gmail.com>",
          "is_bot": false,
          "headline": "Add DLRM Model (#1171)",
          "author_name": "edknv",
          "author_login": "edknv",
          "committed_at": "2023-07-03T13:59:24Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "593d78d184af5d68a67c7f0267efdfd48f8b51f4",
          "body": "* Adding DCN-V2\r\n\r\n* Merging CrossBlock & CrossLink\r\n\r\n* Merging CrossBlock & CrossLink\r\n\r\n* Adding with_low_rank to CrossBlock",
          "is_bot": false,
          "headline": "Adding CrossBlock (used in DCN-v2) (#1172)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-03T12:04:06Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "eff55db5498c4be0ba7112188f74d1565b89d9c5",
          "body": "* Removing Link in favour of some new Blocks like: ResidualBlock & ShortcutBlock\r\n\r\n* Removing Link in favour of some new Blocks like: ResidualBlock & ShortcutBlock\r\n\r\n* Add conversion test\r\n\r\n* Some bug fixes + 100% test-coverage for block.py\r\n\r\n* Improve doc-strings\r\n\r\n* Remove un-used isblock again",
          "is_bot": false,
          "headline": "Remove link, and introduce ShortcutBlock + ResidualBlock (#1170)",
          "author_name": "Marc Romeyn",
          "author_login": "marcromeyn",
          "committed_at": "2023-07-03T08:30:32Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
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          "headline": "asvdb tracking for next item prediction (#1042)",
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        {
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                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal 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",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "0 out of 30 merged PRs checked by a CI test -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 29/30 approved changesets -- score normalized to 9",
                "points": 6.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 3 contributing companies or organizations -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 13 resolved dependencies against OSV; 33 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.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "indirect_dependencies_free_of_known_advisories",
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 13
                }
              },
              {
                "code": "advisories_unassessed",
                "params": {
                  "count": 33
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 7,
              "affected_packages": 2,
              "assessed_packages": 13,
              "unassessed_packages": 33,
              "affected_by_severity": "critical 1, moderate 1",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 13,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 8
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 55,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.95,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "95 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 95,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 62,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile",
                "docs/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "merlin/models/py.typed"
              ],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile, docs/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Makefile, docs/Makefile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": "tox.ini",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "tox.ini"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "merlin/models/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "merlin/models/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 105307,
              "source_files_sampled": 359,
              "oversized_source_files": 2
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (merlin/models/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "merlin/models/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "2/359 source files over 60KB",
                "points": 54.7,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 359,
                      "oversized": 2
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks",
                "recipes"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples, notebooks, recipes",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks, recipes"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-31T03:13:11.166162Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/NVIDIA-Merlin/models.svg",
  "full_name": "NVIDIA-Merlin/models",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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 v1.13.0, schema v0.27.0 — full methodology · metrics wiki.

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