Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-08 04:54 UTC

MarcoPorcellato / logseq-matryca-parser

Stop feeding broken Markdown to your AI. A deterministic Logseq parser that preserves parent-child context for RAG, plus a 60FPS visualizer 👓 , plus writer ✍️ append only

PythonApache-2.0★ 27 stars⑂ 13 forkssince Apr 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

MarcoPorcellato/logseq-matryca-parser holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on AI Readiness (92/100) and lowest on Sustainability & Governance (55/100). It was last updated today. A single contributor accounts for most of its recent work.

84
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

84
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

Marco PorcellatoPersonal account
15 followers22 public repossince Jul 2025Matryca.ai

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIlogseq-matryca-parser1.7.12,336160 days agoaiastknowledge-graphlogseqparserrag

Metrics by category

Vitality

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

81Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
11.1/36Commit cadence16/52 weeks with commits
18/18Commit volume261 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year261
human_commit_share0.97
days_since_last_push0
active_weeks_last_year16
How it's scored
27/27Ships releases20 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~5.6 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count20
latest_release_tagv1.7.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases5.6

Community & Adoption

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

59Moderate · 17% of overall
How it's scored
23/60Stars27 stars
9/25Forks13 forks
0/15Watchers1 watchers
Inputs used
forks13
stars27
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes
How it's scored
44.9/80Monthly downloads2,336 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packageslogseq-matryca-parser
dependents
ecosystemspypi
total_downloads
monthly_downloads2,336
unverified_packages_excluded
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?

55Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
7.2/22.5Commit distributiontop contributor authored 68% of commits
10.8/13.5Contributor breadth8 contributors
6/10OpenSSF Scorecard: Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled8
top_contributor_share0.678
How it's scored
29.6/42Issue resolution70% of issues closed
21.5/30PR acceptance33/46 decided PRs merged
13/13Newcomer PR acceptance2/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/28 approved changesets -- score normalized to 0
Inputs used
merged_prs33
open_issues23
closed_issues55
prs_merged_7d13
prs_decided_7d13
prs_merged_30d15
prs_decided_30d15
issue_closed_ratio0.705
closed_unmerged_prs13
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d2
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
8.7/25Owner reach15 followers of MarcoPorcellato
12/25Track record22 public repos, account ~1 yr old
Inputs used
followers15
owner_typeUser
is_verified
owner_loginMarcoPorcellato
public_repos22
account_age_days389
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history16 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packageslogseq-matryca-parser
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

89Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests14 out of 15 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics9 topics
10/10Wiki
Inputs used
topicsast, local-first, logseq, logseq-export, python, rag, ai, knowledge-graph, parser
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
2.2/2.5CI-Tests14 out of 15 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/28 approved changesets -- score normalized to 0
1.5/2.5Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
5/5Pinned-Dependenciesall dependencies are pinned
4.5/5SASTSAST tool is not run on all commits -- score normalized to 9
5/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.3

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages130
unassessed_packages0
affected_by_severitynone
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 130 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

92Excellent · 4% of overall
How it's scored
45/45Agent instructions.cursorrules, AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history95 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.979
agent_instruction_files.cursorrules, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes1,628
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkingsrc/logseq_matryca_parser/py.typed
10/10Reproducible environmentlockfile
10/10Demonstrated agent practice11 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance3 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependenciesall dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/logseq_matryca_parser/py.typed
agent_commit_share0.11
toolchain_manifests
dependency_bot_commit_share0.03
How it's scored
27/45Type-checkable codePython with type-check config (src/logseq_matryca_parser/py.typed)
53.2/55Manageable file sizes2/60 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes468,813
source_files_sampled60
oversized_source_files2
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files
interfaces_expected_of
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

27GitHub stars
8contributors
261commits, last 12 months
0days since last push
20releases
1bus factor
23open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:logseq-matryca-parser@1.7.1; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 13 ⇿
0Stars
13Forks
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.

03581013151322026-042026-062026-07
Major 1Minor 6Patch 11
OpenSSF Scorecard 6.3 / 10
6.3aggregate

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 · 2026-08-08 04:54 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
9CI-Tests14 out of 15 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/28 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
9SASTSAST tool is not run on all commits -- score normalized to 9
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIpydantic>=2.7.0pyproject.toml
PyPItyper>=0.12.0pyproject.toml
PyPIrich>=13.7.1pyproject.toml
All dependencies 130

Full resolved dependency set from the GitHub dependency graph: 3 direct and 127 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpydantic2.13.3direct
PyPIrich15.0.0direct
PyPItyper0.24.2direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIaiosqlite0.22.1indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIasttokens3.0.1indirect
PyPIattrs26.1.0indirect
PyPIbanks2.4.2indirect
PyPIboolean-py5.0indirect
PyPIcachecontrol0.14.4indirect
PyPIcertifi2026.4.22indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.3.3indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.14.1indirect
PyPIcyclonedx-python-lib11.11.0indirect
PyPIdataclasses-json0.6.7indirect
PyPIdecorator5.2.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdeprecated1.3.1indirect
PyPIdirtyjson1.0.8indirect
PyPIdistlib0.4.3indirect
PyPIexecuting2.2.1indirect
PyPIfilelock3.29.4indirect
PyPIfiletype1.2.0indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.4.0indirect
PyPIgreenlet3.5.0indirect
PyPIgriffe2.0.2indirect
PyPIgriffecli2.0.2indirect
PyPIgriffelib2.0.2indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidentify2.6.19indirect
PyPIidna3.15indirect
PyPIiniconfig2.3.0indirect
PyPIipython9.13.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.19.2indirect
PyPIjinja23.1.6indirect
PyPIjoblib1.5.3indirect
PyPIjsonpatch1.33indirect
PyPIjsonpickle4.1.1indirect
PyPIjsonpointer3.1.1indirect
PyPIlangchain-core1.3.3indirect
PyPIlangchain-protocol0.0.15indirect
PyPIlangsmith0.8.18indirect
PyPIlibrt0.9.0indirect
PyPIlicense-expression30.4.4indirect
PyPIllama-index-core0.14.22indirect
PyPIllama-index-instrumentation0.5.0indirect
PyPIllama-index-workflows2.20.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImarshmallow3.26.2indirect
PyPImatplotlib-inline0.2.1indirect
PyPImdurl0.1.2indirect
PyPImsgpack1.2.1indirect
PyPImultidict6.7.1indirect
PyPImypy1.20.2indirect
PyPImypy-extensions1.1.0indirect
PyPInest-asyncio1.6.0indirect
PyPInetworkx3.6.1indirect
PyPInltk3.10.0indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.4.4indirect
PyPIorjson3.11.9indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging26.2indirect
PyPIparso0.8.6indirect
PyPIpathspec1.1.0indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.3.0indirect
PyPIpip26.1.2indirect
PyPIpip-api0.0.34indirect
PyPIpip-audit2.10.1indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.5.2indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpy-serializable2.1.0indirect
PyPIpydantic-core2.46.3indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-discovery1.4.2indirect
PyPIpyvis0.3.2indirect
PyPIpyyaml6.0.3indirect
PyPIregex2026.5.9indirect
PyPIrequests2.33.1indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIruff0.15.12indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsortedcontainers2.4.0indirect
PyPIsqlalchemy2.0.49indirect
PyPIstack-data0.6.3indirect
PyPItenacity9.1.4indirect
PyPItiktoken0.12.0indirect
PyPItinytag2.2.1indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItqdm4.67.3indirect
PyPItraitlets5.14.3indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.14.1indirect
PyPIvirtualenv21.5.1indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.6.0indirect
PyPIwebsockets16.0indirect
PyPIwrapt2.1.2indirect
PyPIxxhash3.7.0indirect
PyPIyarl1.23.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 130 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.31.0 — full methodology · metrics wiki.

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