Simple package to extract text with coordinates from programmatic PDFs
docling-project/docling-parse holds a health index of 76 out of 100, placing it in the Good band. It scores highest on Vitality (90/100) and lowest on AI Readiness (49/100). It was last updated 3 days ago. 2 contributors account for most of its recent work.
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.
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.
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
| Registry | Package | Version | Downloads / mo | Versions | Last publish |
|---|---|---|---|---|---|
| PyPI | docling-parse | 7.8.0 | 4,137,233 | 80 | 4 days ago |
Is the project alive — is code being written and are releases shipping?
| 36/36 | Push recency — last push 3 days ago |
| 20.8/36 | Commit cadence — 30/52 weeks with commits |
| 18/18 | Commit volume — 141 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10 |
| commits_last_year | 141 |
| human_commit_share | — |
| days_since_last_push | 3 |
| active_weeks_last_year | 30 |
| 27/27 | Ships releases — 92 releases published |
| 36/36 | Release recency — latest release 4 days ago |
| 27/27 | Release cadence — a release every ~2 days |
| 8/10 | OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts. |
| releases_count | 92 |
| latest_release_tag | v7.8.0 |
| releases_from_tags | no |
| days_since_latest_release | 4 |
| mean_days_between_releases | 2 |
Does the project have users, downloads, attention, and a welcoming setup for contributors?
| 40.7/60 | Stars — 322 stars |
| 15.4/25 | Forks — 72 forks |
| 1.7/15 | Watchers — 3 watchers |
| forks | 72 |
| stars | 322 |
| watchers | 3 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | no |
| 80/80 | Monthly downloads — 4,137,233 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
| packages | docling-parse |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 4,137,233 |
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
| 25.2/54 | Bus factor — 2 contributor(s) cover half of all commits |
| 13.1/22.5 | Commit distribution — top contributor authored 42% of commits |
| 13.5/13.5 | Contributor breadth — 19 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations |
| bus_factor | 2 |
| contributors_sampled | 19 |
| top_contributor_share | 0.417 |
| 26.3/46.8 | Issue resolution — 56% of issues closed |
| 32.6/38.3 | PR acceptance — 172/202 decided PRs merged |
| 9/15 | OpenSSF Scorecard: Code-Review — Found 18/30 approved changesets -- score normalized to 6 |
| merged_prs | 172 |
| open_issues | 39 |
| closed_issues | 50 |
| issue_closed_ratio | 0.562 |
| closed_unmerged_prs | 30 |
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 22.1/25 | Owner reach — 1,187 followers of docling-project |
| 13.7/25 | Track record — 26 public repos, account ~1 yr old |
| followers | 1,187 |
| owner_type | Organization |
| is_verified | — |
| owner_login | docling-project |
| public_repos | 26 |
| account_age_days | 607 |
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 4 days ago |
| 20/20 | Version history — 80 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
| packages | docling-parse |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 4 |
Are baseline engineering and documentation practices in place?
| 24/24 | CI workflows — 7 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 18 out of 18 merged PRs checked by a CI test -- score normalized to 10 |
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
| 30/30 | README |
| 25/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 0/10 | Topics |
| 0/10 | Wiki |
| topics | — |
| has_wiki | no |
| homepage | — |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 18 out of 18 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 4.5/7.5 | Code-Review — Found 18/30 approved changesets -- score normalized to 6 |
| 2.5/2.5 | Contributors — project has 9 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 8 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 |
| 6/7.5 | Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 2.2/7.5 | Vulnerabilities — 7 existing vulnerabilities detected |
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 5.3 |
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.
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 11/11 | Static type checking — docling_parse/py.typed |
| 10/10 | Reproducible environment — 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 |
| has_nix | no |
| has_tests | yes |
| lockfiles | uv.lock |
| has_dockerfile | no |
| typed_language | yes |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | docling_parse/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
| 45/45 | Type-checkable code — C++ (statically typed) |
| 54.1/55 | Manageable file sizes — 2/127 source files over 60KB |
| primary_language | C++ |
| largest_source_bytes | 78,403 |
| source_files_sampled | 127 |
| oversized_source_files | 2 |
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 |
| 4 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 18 out of 18 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 6 | Code-Review | Found 18/30 approved changesets -- score normalized to 6 |
| 10 | Contributors | project has 9 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 8 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 |
| 8 | Signed-Releases | 5 out of the last 5 releases have a total of 5 signed artifacts. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 3 | Vulnerabilities | 7 existing vulnerabilities detected |
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | pillow | >=10.0.0,<13.0.0 | pyproject.toml |
| PyPI | pydantic | >=2.0.0 | pyproject.toml |
| PyPI | docling-core | >=2.85.0,<3.0.0 | pyproject.toml |
| PyPI | pywin32 | >=305 | pyproject.toml |
Full resolved dependency set from the GitHub dependency graph: 4 direct and 131 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | docling-core | 2.85.0 | direct |
| PyPI | pillow | 12.2.0 | direct |
| PyPI | pydantic | 2.12.5 | direct |
| PyPI | pywin32 | 311 | direct |
| PyPI | altgraph | 0.17.5 | indirect |
| PyPI | annotated-doc | 0.0.4 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | anyio | 4.13.0 | indirect |
| PyPI | attrs | 25.4.0 | indirect |
| PyPI | backports-tarfile | 1.2.0 | indirect |
| PyPI | bashlex | 0.18 | indirect |
| PyPI | boto | 2.49.0 | indirect |
| PyPI | boto3 | 1.42.51 | indirect |
| PyPI | botocore | 1.42.51 | indirect |
| PyPI | bracex | 2.6 | indirect |
| PyPI | build | 1.4.0 | indirect |
| PyPI | certifi | 2026.1.4 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | cfgv | 3.5.0 | indirect |
| PyPI | charset-normalizer | 3.4.4 | indirect |
| PyPI | cibuildwheel | 2.23.3 | indirect |
| PyPI | cibuildwheel | 3.3.1 | indirect |
| PyPI | click | 8.3.1 | indirect |
| PyPI | click-log | 0.4.0 | indirect |
| PyPI | cmake | 3.31.10 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | contourpy | 1.3.3 | indirect |
| PyPI | contourpy | 1.3.2 | indirect |
| PyPI | cryptography | 49.0.0 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | defusedxml | 0.7.1 | indirect |
| PyPI | delocate | 0.13.0 | indirect |
| PyPI | dependency-groups | 1.3.1 | indirect |
| PyPI | distlib | 0.4.0 | indirect |
| PyPI | doclang | 0.7.1 | indirect |
| PyPI | docling-parse | 7.8.0 | indirect |
| PyPI | docutils | 0.22.4 | indirect |
| PyPI | dotty-dict | 1.3.1 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | filelock | 3.24.2 | indirect |
| PyPI | fonttools | 4.61.1 | indirect |
| PyPI | fsspec | 2026.3.0 | indirect |
| PyPI | gitdb | 4.0.12 | indirect |
| PyPI | gitpython | 3.1.50 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | hf-xet | 1.4.3 | indirect |
| PyPI | httpcore | 1.0.9 | indirect |
| PyPI | httpx | 0.28.1 | indirect |
| PyPI | huggingface-hub | 1.11.0 | indirect |
| PyPI | humanize | 4.15.0 | indirect |
| PyPI | identify | 2.6.16 | indirect |
| PyPI | idna | 3.17 | indirect |
| PyPI | importlib-metadata | 8.7.1 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | invoke | 2.2.1 | indirect |
| PyPI | jaraco-classes | 3.4.0 | indirect |
| PyPI | jaraco-context | 6.1.0 | indirect |
| PyPI | jaraco-functools | 4.4.0 | indirect |
| PyPI | jeepney | 0.9.0 | indirect |
| PyPI | jmespath | 1.1.0 | indirect |
| PyPI | jsonref | 1.1.0 | indirect |
| PyPI | jsonschema | 4.26.0 | indirect |
| PyPI | jsonschema-specifications | 2025.9.1 | indirect |
| PyPI | keyring | 25.7.0 | indirect |
| PyPI | kiwisolver | 1.4.9 | indirect |
| PyPI | latex2mathml | 3.78.1 | indirect |
| PyPI | librt | 0.8.1 | indirect |
| PyPI | lxml | 6.1.1 | indirect |
| PyPI | macholib | 1.16.4 | indirect |
| PyPI | markdown-it-py | 4.0.0 | indirect |
| PyPI | matplotlib | 3.10.8 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | more-itertools | 10.8.0 | indirect |
| PyPI | mypy | 1.19.1 | indirect |
| PyPI | mypy-extensions | 1.1.0 | indirect |
| PyPI | nh3 | 0.3.3 | indirect |
| PyPI | nodeenv | 1.10.0 | indirect |
| PyPI | numpy | 2.2.6 | indirect |
| PyPI | numpy | 2.4.2 | indirect |
| PyPI | packaging | 26.0 | indirect |
| PyPI | pandas | 2.3.3 | indirect |
| PyPI | patchelf | 0.17.2.4 | indirect |
| PyPI | pathspec | 1.0.4 | indirect |
| PyPI | pdfminer-six | 20251230 | indirect |
| PyPI | pdfplumber | 0.11.9 | indirect |
| PyPI | pkginfo | 1.12.1.2 | indirect |
| PyPI | platformdirs | 4.9.2 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | pre-commit | 3.8.0 | indirect |
| PyPI | pybind11 | 3.0.2 | indirect |
| PyPI | pycparser | 3.0 | indirect |
| PyPI | pydantic-core | 2.41.5 | indirect |
| PyPI | pydantic-settings | 2.14.2 | indirect |
| PyPI | pyelftools | 0.32 | indirect |
| PyPI | pygments | 2.20.0 | indirect |
| PyPI | pymupdf | 1.27.1 | indirect |
| PyPI | pyparsing | 3.3.2 | indirect |
| PyPI | pypdfium2 | 5.4.0 | indirect |
| PyPI | pyproject-hooks | 1.2.0 | indirect |
| PyPI | pytest | 9.0.3 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | python-dotenv | 1.2.2 | indirect |
| PyPI | python-gitlab | 3.15.0 | indirect |
| PyPI | python-semantic-release | 7.34.6 | indirect |
| PyPI | pytz | 2025.2 | indirect |
| PyPI | pywin32-ctypes | 0.2.3 | indirect |
| PyPI | pyyaml | 6.0.3 | indirect |
| PyPI | readme-renderer | 44.0 | indirect |
| PyPI | referencing | 0.37.0 | indirect |
| PyPI | requests | 2.33.1 | indirect |
| PyPI | requests-toolbelt | 1.0.0 | indirect |
| PyPI | rfc3986 | 2.0.0 | indirect |
| PyPI | rich | 14.3.2 | indirect |
| PyPI | rpds-py | 0.30.0 | indirect |
| PyPI | ruff | 0.15.11 | indirect |
| PyPI | s3transfer | 0.16.0 | indirect |
| PyPI | secretstorage | 3.5.0 | indirect |
| PyPI | semver | 2.13.0 | indirect |
| PyPI | setuptools | 82.0.0 | indirect |
| PyPI | shellingham | 1.5.4 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | smmap | 5.0.2 | indirect |
| PyPI | tabulate | 0.9.0 | indirect |
| PyPI | tomli | 2.4.0 | indirect |
| PyPI | tomlkit | 0.14.0 | indirect |
| PyPI | tqdm | 4.67.3 | indirect |
| PyPI | twine | 3.8.0 | indirect |
| PyPI | typer | 0.21.2 | indirect |
| PyPI | typing-extensions | 4.15.0 | indirect |
| PyPI | typing-inspection | 0.4.2 | indirect |
| PyPI | tzdata | 2025.3 | indirect |
| PyPI | urllib3 | 2.7.0 | indirect |
| PyPI | virtualenv | 20.38.0 | indirect |
| PyPI | wheel | 0.46.3 | indirect |
| PyPI | zipp | 3.23.0 | indirect |
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{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "7 existing vulnerabilities detected",
"points": 2.2,
"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"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": 9
},
"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": "at_risk",
"name": "AI Readiness",
"value": 49,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"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": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice",
"automated_maintenance"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 66,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": true,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
"docling_parse/py.typed"
],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "docling_parse/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "docling_parse/py.typed"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"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": "excellent",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 99,
"inputs": {
"primary_language": "C++",
"largest_source_bytes": 78403,
"source_files_sampled": 127,
"oversized_source_files": 2
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "C++ (statically typed)",
"points": 45,
"status": "met",
"details": [
{
"code": "statically_typed_language",
"params": {
"language": "C++"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "2/127 source files over 60KB",
"points": 54.1,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 127,
"oversized": 2
}
}
],
"max_points": 55
}
]
}
],
"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": [],
"report_type": "repository",
"generated_at": "2026-07-14T17:37:06.900696Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/docling-project/docling-parse.svg",
"full_name": "docling-project/docling-parse",
"license_state": "standard",
"license_spdx": "MIT"
}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 v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.