Public recordModerate
Software health reportschema 0.12.0 · metrics 1.13.0 · 2026-07-17 18:05 UTC
databricks-industry-solutions / many-model-forecasting
Bootstrap your large scale forecasting solution on Databricks with Many Models Forecasting (MMF) Project.
databricks-industry-solutions/many-model-forecasting holds a health index of 62 out of 100, placing it in the Moderate band. It scores highest on Vitality (90/100) and lowest on Security (45/100). It was last updated 5 days ago. A single contributor accounts for most of its recent work.
62
overall / 100Software 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.
62
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)
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.
Ownership
Databricks Industry SolutionsOrganization
797 followers216 public repossince May 2022
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
90
Development activity
83Good
How it's scored
| 36/36 | Push recency — last push 5 days ago |
| 18.7/36 | Commit cadence — 27/52 weeks with commits |
| 18/18 | Commit volume — 302 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 302 |
| human_commit_share | — |
| days_since_last_push | 5 |
| active_weeks_last_year | 27 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 9 releases published |
| 36/36 | Release recency — latest release 6 days ago |
| 27/27 | Release cadence — a release every ~18.6 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 9 |
| latest_release_tag | v0.1.7 |
| releases_from_tags | no |
| days_since_latest_release | 6 |
| mean_days_between_releases | 18.6 |
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?
57
Popularity & adoption
50Moderate
How it's scored
| 32.3/60 | Stars — 99 stars |
| 13.4/25 | Forks — 42 forks |
| 3.9/15 | Watchers — 6 watchers |
Inputs used
| forks | 42 |
| stars | 99 |
| watchers | 6 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
64Moderate
How it's scored
| 22.5/22.5 | README |
| 16.9/22.5 | License — license file present, not a recognized license |
| 18/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
58
Maintainer resilience (bus factor)
32At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 5.8/22.5 | Commit distribution — top contributor authored 74% of commits |
| 10.8/13.5 | Contributor breadth — 8 contributors |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 8 |
| top_contributor_share | 0.744 |
How it's scored
| 37.4/46.8 | Issue resolution — 80% of issues closed |
| 35.7/38.3 | PR acceptance — 171/183 decided PRs merged |
| 1.5/15 | OpenSSF Scorecard: Code-Review — Found 1/7 approved changesets -- score normalized to 1 |
Inputs used
| merged_prs | 171 |
| open_issues | 2 |
| closed_issues | 8 |
| issue_closed_ratio | 0.8 |
| closed_unmerged_prs | 12 |
Ownership & stewardship
72Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 20.9/25 | Owner reach — 797 followers of databricks-industry-solutions |
| 21.3/25 | Track record — 216 public repos, account ~4 yr old |
Inputs used
| followers | 797 |
| owner_type | Organization |
| is_verified | — |
| owner_login | databricks-industry-solutions |
| public_repos | 216 |
| account_age_days | 1,509 |
Engineering Quality
Are baseline engineering and documentation practices in place?
53
Engineering practices
48At risk
How it's scored
| 24/24 | CI workflows — 5 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 7 merged PRs checked by a CI test -- score normalized to 0 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
60Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 10/10 | Topics — 2 topics |
| 10/10 | Wiki |
Inputs used
| topics | forecasting, xindustry |
| has_wiki | yes |
| homepage | — |
| has_readme | yes |
| has_docs_dir | no |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
45
Security posture
45At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — 0 out of 7 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0.8/7.5 | Code-Review — Found 1/7 approved changesets -- score normalized to 1 |
| 1.5/2.5 | Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.2/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 10 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4.5 |
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? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
52
Agent context & guidance
75Good
How it's scored
| 45/45 | Agent instructions — CLAUDE.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | CLAUDE.md |
| agent_instruction_max_bytes | 1,714 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — devcontainer, Dockerfile, lockfile |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | uv.lock |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | yes |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
Code legibility for models
54Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 54.4/55 | Manageable file sizes — 1/99 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 63,634 |
| source_files_sampled | 99 |
| oversized_source_files | 1 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples, notebooks |
Inputs used
| example_dirs | examples, notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
99GitHub stars
8contributors
302commits, last 12 months
5days since last push
9releases
1bus factor
2open issues
PyPIpackage ecosystems
Data collection warnings
- Could not fetch pypi package 'mmf_sa' from its registry
More detail
OpenSSF Scorecard 4.5 / 10
4.5aggregate
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 0 | CI-Tests | 0 out of 7 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 1 | Code-Review | Found 1/7 approved changesets -- score normalized to 1 |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 10 | Security-Policy | security policy file detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 10 existing vulnerabilities detected |
Direct dependencies 3
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | omegaconf | ==2.3.0 | pyproject.toml |
| PyPI | sktime | ==0.40.1 | pyproject.toml |
| PyPI | mlflow | >=3.1.4 | pyproject.toml |
All dependencies 183
Full resolved dependency set from the GitHub dependency graph: 4 direct and 179 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | mlflow | — | direct |
| PyPI | mlflow | 3.13.0 | direct |
| PyPI | omegaconf | 2.3.0 | direct |
| PyPI | sktime | 0.40.1 | direct |
| PyPI | aiohappyeyeballs | 2.6.2 | indirect |
| PyPI | aiohttp | 3.14.1 | indirect |
| PyPI | aiosignal | 1.4.0 | indirect |
| PyPI | alembic | 1.18.3 | indirect |
| PyPI | annotated-doc | 0.0.4 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | anyio | 4.12.1 | indirect |
| PyPI | async-timeout | 5.0.1 | indirect |
| PyPI | attrs | 26.1.0 | indirect |
| PyPI | azure-core | 1.38.0 | indirect |
| PyPI | azure-storage-blob | 12.28.0 | indirect |
| PyPI | azure-storage-file-datalake | 12.23.0 | indirect |
| PyPI | backports-asyncio-runner | 1.2.0 | indirect |
| PyPI | blinker | 1.9.0 | indirect |
| PyPI | boto3 | 1.42.41 | indirect |
| PyPI | botocore | 1.42.41 | indirect |
| PyPI | cachetools | 6.2.6 | indirect |
| PyPI | certifi | 2026.1.4 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | charset-normalizer | 3.4.4 | indirect |
| PyPI | chronos-forecasting | 2.2.2 | indirect |
| PyPI | click | 8.3.1 | indirect |
| PyPI | cloudpickle | 3.1.2 | indirect |
| PyPI | cmdstanpy | 1.2.5 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | contourpy | 1.3.2 | indirect |
| PyPI | contourpy | 1.3.3 | indirect |
| PyPI | cryptography | 48.0.1 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | dash-bootstrap-components | — | indirect |
| PyPI | databricks-agents | 1.4.0 | indirect |
| PyPI | databricks-connect | 14.3.2 | indirect |
| PyPI | databricks-connect | 18.1.2 | indirect |
| PyPI | databricks-sdk | — | indirect |
| PyPI | databricks-sdk | 0.84.0 | indirect |
| PyPI | databricks-sql-connector | — | indirect |
| PyPI | dataclasses-json | 0.6.7 | indirect |
| PyPI | distro | 1.9.0 | indirect |
| PyPI | docker | 7.1.0 | indirect |
| PyPI | duckdb | 1.4.4 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | fastapi | 0.136.3 | indirect |
| PyPI | flask | 3.1.3 | indirect |
| PyPI | flask-cors | 6.0.2 | indirect |
| PyPI | fonttools | 4.61.1 | indirect |
| PyPI | frozenlist | 1.8.0 | indirect |
| PyPI | gepa | 0.1.0 | indirect |
| PyPI | gitdb | 4.0.12 | indirect |
| PyPI | gitpython | 3.1.50 | indirect |
| PyPI | google-api-core | 2.29.0 | indirect |
| PyPI | google-auth | 2.48.0 | indirect |
| PyPI | google-cloud-core | 2.5.0 | indirect |
| PyPI | google-cloud-storage | 3.9.0 | indirect |
| PyPI | google-crc32c | 1.8.0 | indirect |
| PyPI | google-resumable-media | 2.8.0 | indirect |
| PyPI | googleapis-common-protos | 1.72.0 | indirect |
| PyPI | graphene | 3.4.3 | indirect |
| PyPI | graphql-core | 3.2.7 | indirect |
| PyPI | graphql-relay | 3.2.0 | indirect |
| PyPI | greenlet | 3.3.1 | indirect |
| PyPI | grpcio | 1.80.0 | indirect |
| PyPI | grpcio-status | 1.80.0 | indirect |
| PyPI | gunicorn | 23.0.0 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | hierarchicalforecast | 1.5.1 | indirect |
| PyPI | httpcore | 1.0.9 | indirect |
| PyPI | httpx | 0.28.1 | indirect |
| PyPI | huey | 2.6.0 | indirect |
| PyPI | idna | 3.15 | indirect |
| PyPI | importlib-metadata | 8.7.1 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | isodate | 0.7.2 | indirect |
| PyPI | itsdangerous | 2.2.0 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | jiter | 0.13.0 | indirect |
| PyPI | jmespath | 1.1.0 | indirect |
| PyPI | joblib | 1.5.3 | indirect |
| PyPI | jsonpatch | 1.33 | indirect |
| PyPI | jsonpointer | 3.0.0 | indirect |
| PyPI | kiwisolver | 1.4.9 | indirect |
| PyPI | langchain-core | 1.3.3 | indirect |
| PyPI | langchain-openai | 1.1.14 | indirect |
| PyPI | langchain-protocol | 0.0.15 | indirect |
| PyPI | langsmith | 0.8.18 | indirect |
| PyPI | lightgbm | 4.6.0 | indirect |
| PyPI | mako | 1.3.12 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | marshmallow | 3.26.2 | indirect |
| PyPI | matplotlib | 3.10.8 | indirect |
| PyPI | mlflow-skinny | 3.13.0 | indirect |
| PyPI | mlflow-tracing | 3.13.0 | indirect |
| PyPI | mlforecast | 1.0.31 | indirect |
| PyPI | multidict | 6.7.1 | indirect |
| PyPI | mypy-extensions | 1.1.0 | indirect |
| PyPI | neuralforecast | 3.1.4 | indirect |
| PyPI | numpy | 2.2.6 | indirect |
| PyPI | numpy | 2.4.2 | indirect |
| PyPI | openai | 2.32.0 | indirect |
| PyPI | opentelemetry-api | 1.39.1 | indirect |
| PyPI | opentelemetry-proto | 1.39.1 | indirect |
| PyPI | opentelemetry-sdk | 1.39.1 | indirect |
| PyPI | opentelemetry-semantic-conventions | 0.60b1 | indirect |
| PyPI | optuna | 3.6.1 | indirect |
| PyPI | orjson | 3.11.7 | indirect |
| PyPI | packaging | 25.0 | indirect |
| PyPI | pandas | — | indirect |
| PyPI | pandas | 2.2.3 | indirect |
| PyPI | pandas | 2.3.3 | indirect |
| PyPI | pillow | 12.2.0 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | polars | — | indirect |
| PyPI | prettytable | 3.17.0 | indirect |
| PyPI | propcache | 0.5.2 | indirect |
| PyPI | prophet | 1.1.6 | indirect |
| PyPI | proto-plus | 1.27.1 | indirect |
| PyPI | protobuf | 6.33.5 | indirect |
| PyPI | py4j | 0.10.9.7 | indirect |
| PyPI | py4j | 0.10.9.9 | indirect |
| PyPI | pyarrow | — | indirect |
| PyPI | pyarrow | 23.0.1 | indirect |
| PyPI | pyasn1 | 0.6.3 | indirect |
| PyPI | pyasn1-modules | 0.4.2 | indirect |
| PyPI | pycparser | 3.0 | indirect |
| PyPI | pydantic | 2.12.5 | indirect |
| PyPI | pydantic-core | 2.41.5 | indirect |
| PyPI | pygments | 2.20.0 | indirect |
| PyPI | pyparsing | 3.3.2 | indirect |
| PyPI | pyspark | 3.4.4 | indirect |
| PyPI | pytest | 9.0.3 | indirect |
| PyPI | pytest-asyncio | 1.3.0 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | python-dotenv | 1.2.2 | indirect |
| PyPI | pytz | 2025.2 | indirect |
| PyPI | pywin32 | 311 | indirect |
| PyPI | pyyaml | 6.0.3 | indirect |
| PyPI | regex | 2026.1.15 | indirect |
| PyPI | requests | 2.33.0 | indirect |
| PyPI | requests-toolbelt | 1.0.0 | indirect |
| PyPI | rsa | 4.9.1 | indirect |
| PyPI | s3transfer | 0.16.0 | indirect |
| PyPI | scikit-learn | 1.7.2 | indirect |
| PyPI | scikit-learn | 1.8.0 | indirect |
| PyPI | scipy | — | indirect |
| PyPI | scipy | 1.15.3 | indirect |
| PyPI | scipy | 1.17.0 | indirect |
| PyPI | setuptools | 82.0.1 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | skill-test | 0.1.0 | indirect |
| PyPI | skops | 0.13.0 | indirect |
| PyPI | smmap | 5.0.2 | indirect |
| PyPI | sniffio | 1.3.1 | indirect |
| PyPI | sqlalchemy | 2.0.46 | indirect |
| PyPI | sqlglot | 29.0.1 | indirect |
| PyPI | sqlparse | 0.5.5 | indirect |
| PyPI | starlette | 1.3.1 | indirect |
| PyPI | statsforecast | 2.0.0 | indirect |
| PyPI | tenacity | 9.1.2 | indirect |
| PyPI | threadpoolctl | 3.6.0 | indirect |
| PyPI | tiktoken | 0.12.0 | indirect |
| PyPI | timesfm | — | indirect |
| PyPI | tomli | 2.4.0 | indirect |
| PyPI | tqdm | 4.67.3 | indirect |
| PyPI | typing-extensions | 4.15.0 | indirect |
| PyPI | typing-inspect | 0.9.0 | indirect |
| PyPI | typing-inspection | 0.4.2 | indirect |
| PyPI | tzdata | 2025.3 | indirect |
| PyPI | urllib3 | 2.7.0 | indirect |
| PyPI | utilsforecast | 0.2.15 | indirect |
| PyPI | uuid-utils | 0.14.0 | indirect |
| PyPI | uvicorn | 0.40.0 | indirect |
| PyPI | waitress | 3.0.2 | indirect |
| PyPI | wcwidth | 0.5.3 | indirect |
| PyPI | websockets | 16.0 | indirect |
| PyPI | werkzeug | 3.1.6 | indirect |
| PyPI | whenever | 0.7.3 | indirect |
| PyPI | xxhash | 3.6.0 | indirect |
| PyPI | yarl | 1.24.2 | indirect |
| PyPI | zipp | 3.23.0 | indirect |
| PyPI | zstandard | 0.25.0 | indirect |
Raw JSON report machine-readable
{
"data": {
"repo": {
"topics": [
"forecasting",
"xindustry"
],
"is_fork": false,
"size_kb": 3414,
"has_wiki": true,
"homepage": null,
"languages": {
"Python": 810822,
"Dockerfile": 786,
"Jupyter Notebook": 104802
},
"pushed_at": "2026-07-12T10:22:27Z",
"created_at": "2022-10-17T15:09:53Z",
"owner_type": "Organization",
"updated_at": "2026-07-13T10:00:27Z",
"description": "Bootstrap your large scale forecasting solution on Databricks with Many Models Forecasting (MMF) Project.",
"is_archived": false,
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"license_spdx": null,
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]
},
"owner": {
"blog": "https://databricks.com/solutions/accelerators",
"name": "Databricks Industry Solutions",
"type": "Organization",
"login": "databricks-industry-solutions",
"company": null,
"followers": 797,
"avatar_url": "https://avatars.githubusercontent.com/u/106546034?v=4",
"created_at": "2022-05-30T15:44:04Z",
"is_verified": null,
"public_repos": 216,
"account_age_days": 1509
},
"activity": {
"releases_count": 9,
"commits_last_year": 302,
"latest_release_at": "2026-07-11T15:00:56Z",
"latest_release_tag": "v0.1.7",
"releases_from_tags": false,
"days_since_last_push": 5,
"active_weeks_last_year": 27,
"days_since_latest_release": 6,
"mean_days_between_releases": 18.6
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": true,
"health_percentage": 62,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"ecosystem": {
"packages": []
},
"popularity": {
"forks": 42,
"stars": 99,
"watchers": 6,
"open_issues_and_prs": 4
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [
"examples",
"notebooks"
],
"has_llms_txt": false,
"has_dockerfile": true,
"has_mcp_signal": false,
"bootstrap_files": [],
"api_schema_files": [],
"has_devcontainer": true,
"typecheck_configs": [],
"largest_source_bytes": 63634,
"source_files_sampled": 99,
"oversized_source_files": 1,
"agent_instruction_files": [
"CLAUDE.md"
],
"agent_instruction_max_bytes": 1714
},
"dependencies": {
"manifests": [
"apps/requirements.txt",
"pyproject.toml",
"requirements-foundation.txt",
"requirements-global.txt",
"requirements-local.txt",
"requirements.txt"
],
"ecosystems": [
"pypi"
],
"dependencies": [
{
"name": "omegaconf",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
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"points": 0,
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"max_points": 20
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]
},
{
"key": "documentation",
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"value": 60,
"inputs": {
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"homepage": null,
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"components": [
{
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{
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"points": 0,
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"details": [],
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{
"key": "documentation_homepage_site",
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"points": 0,
"status": "missed",
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{
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{
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],
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{
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"components": [
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},
{
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{
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{
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},
{
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},
{
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"status": "partial",
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},
{
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},
{
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"points": 7.5,
"status": "met",
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},
{
"key": "fuzzing",
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"points": 0,
"status": "missed",
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},
{
"key": "license",
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"points": 2.2,
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},
{
"key": "maintained",
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"status": "met",
"details": [],
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{
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{
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"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
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"points": 0,
"status": "missed",
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},
{
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"points": 5,
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{
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{
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"status": "missed",
"details": [],
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},
{
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"points": 0,
"status": "missed",
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}
]
},
{
"key": "high_risk_jurisdiction_exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
"inputs": {
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"exposures": [],
"policy_countries": [
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"components": [
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"key": "policy_exposure_multiplier",
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"points": 100,
"status": "met",
"details": [
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"code": "jurisdiction_no_match",
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}
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]
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},
{
"key": "ai_readiness",
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"name": "AI Readiness",
"value": 52,
"weight": 0,
"metrics": [
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"key": "ai_agent_context",
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"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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{
"code": "weights_renormalized",
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"components": [
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"max_points": 45
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{
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"code": "excluded_no_data",
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"details": [],
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{
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{
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{
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{
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{
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{
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]
},
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}
],
"metrics_version": "1.13.0"
},
"warnings": [
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],
"report_type": "repository",
"generated_at": "2026-07-17T18:05:18.033980Z",
"schema_version": "0.12.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/databricks-industry-solutions/many-model-forecasting.svg",
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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 v1.13.0, schema v0.12.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics.