Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 13:20 UTC

microsoft / markitdown

Python tool for converting files and office documents to Markdown.

PythonMIT★ 184,675 stars⑂ 13,604 forkssince Nov 2024View on GitHub ↗
KindMCP serverCommand-line toolLibraryPluginhow this is determined

microsoft/markitdown holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Community & Adoption (88/100) and lowest on AI Readiness (68/100). It was last updated today. 2 contributors account for most of its recent work.

94
overall / 100
Exceptional

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.

94
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

MicrosoftOrganization · verified domain
129,793 followers8,303 public repossince Dec 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImarkitdown0.1.714,771,7812548 days ago—
PyPImarkitdown-mcp0.0.1a7-51 day ago—
PyPImarkitdown-ocr0.1.0123,0183189 days agodocxllmmarkitdownocrpdfpptxvisionxlsx
PyPImarkitdown-sample-plugin0.1.0a11033559 days ago—

Metrics by category

Vitality

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

82Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
11.8/36Commit cadence — 17/52 weeks with commits
18/18Commit volume — 110 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year110
human_commit_share0.97
days_since_last_push0
active_weeks_last_year17
How it's scored
27/27Ships releases — 22 releases published
36/36Release recency — latest release 1 days ago
19.8/27Release cadence — a release every ~53.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count22
latest_release_tagv0.1.8b2
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases53.4
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?

88Excellent · 17% of overall

Popularity & adoption

100Exceptional
How it's scored
60/60Stars — 184,675 stars
25/25Forks — 13,604 forks
15/15Watchers — 583 watchers
Inputs used
forks13,604
stars184,675
watchers583
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads — 14,894,902 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmarkitdown, markitdown-mcp, markitdown-ocr, markitdown-sample-plugin
dependents—
ecosystemspypi
total_downloads—
monthly_downloads14,894,902
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?

76Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.8/22.5Commit distribution — top contributor authored 34% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled98
top_contributor_share0.342
How it's scored
20.2/42Issue resolution — 48% of issues closed
11.8/30PR acceptance — 271/687 decided PRs merged
6/13Newcomer PR acceptance — 6/13 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 16/30 approved changesets -- score normalized to 5
Inputs used
merged_prs271
open_issues323
closed_issues299
prs_merged_7d32
prs_decided_7d41
prs_merged_30d34
prs_decided_30d58
issue_closed_ratio0.481
closed_unmerged_prs416
first_time_authors_30d11
first_time_prs_merged_30d6
first_time_prs_decided_30d13
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 129,793 followers of microsoft
25/25Track record — 8,303 public repos, account ~12 yr old
Inputs used
followers129,793
owner_typeOrganization
is_verifiedyes
owner_loginmicrosoft
public_repos8,303
account_age_days4,662

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 4 package(s) on pypi
35/35Publish recency — latest publish 1 days ago
20/20Version history — 25 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmarkitdown, markitdown-mcp, markitdown-ocr, markitdown-sample-plugin
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://github.com/microsoft/markitdown#readme
10/10Repository description
10/10Topics — 7 topics
10/10Wiki
Inputs used
topicslangchain, openai, autogen-extension, autogen, markdown, microsoft-office, pdf
has_wikiyes
homepage—
docs_sitehttps://github.com/microsoft/markitdown#readme
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

75Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-Review — Found 16/30 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 11 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
2/5SAST — SAST tool is not run on all commits -- score normalized to 4
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
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_aggregate6.9
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages19
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:markitdown@0.1.7 runtime dependency closure — what installing the published package pulls in — 19 packages. 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.

68Good · 4% 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 — 92 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.948
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checking — packages/markitdown-mcp/src/markitdown_mcp/py.typed, packages/markitdown-sample-plugin/src/markitdown_sample_plugin/py.typed, packages/markitdown/src/markitdown/py.typed
10/10Reproducible environment — devcontainer, Dockerfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 3 of the last 100 commits are automated dependency updates
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontaineryes
has_linter_configyes
typecheck_configspackages/markitdown-mcp/src/markitdown_mcp/py.typed, packages/markitdown-sample-plugin/src/markitdown_sample_plugin/py.typed, packages/markitdown/src/markitdown/py.typed
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0.03
How it's scored
27/45Type-checkable code — Python with type-check config (packages/markitdown-mcp/src/markitdown_mcp/py.typed, packages/markitdown-sample-plugin/src/markitdown_sample_plugin/py.typed, packages/markitdown/src/markitdown/py.typed)
54.4/55Manageable file sizes — 1/96 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes69,920
source_files_sampled96
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — notebooks
Inputs used
example_dirsnotebooks
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

184,675GitHub stars
98contributors
110commits, last 12 months
0days since last push
22releases
2bus factor
323open issues
—package ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 31 authors (cap 12)
  • pypi download statistics for 'markitdown-mcp' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 13,604 ⇿
0Stars
13,604Forks
2Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

12,50012,75013,00013,25013,50013,75013,604902026-082026-082026-09
Major 0Minor 0Patch 0
OpenSSF Scorecard 6.9 / 10
6.9aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-09-16 13:19 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 16/30 approved changesets -- score normalized to 5
10Contributorsproject has 11 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
4SASTSAST tool is not run on all commits -- score normalized to 4
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 21
RegistryPackageVersion constraintManifest
PyPImcp>=2.1.1,<3.0.0packages/markitdown-mcp/pyproject.toml
PyPImarkitdown>=0.1.1,<0.2.0packages/markitdown-mcp/pyproject.toml
PyPIrequests>=2.0.0,<3.0.0packages/markitdown-mcp/pyproject.toml
PyPImarkitdown>=0.1.0packages/markitdown-ocr/pyproject.toml
PyPIpdfminer.six>=20251230packages/markitdown-ocr/pyproject.toml
PyPIpdfplumber>=0.11.9packages/markitdown-ocr/pyproject.toml
PyPIPyMuPDF>=1.24.0packages/markitdown-ocr/pyproject.toml
PyPImammoth~=1.11.0packages/markitdown-ocr/pyproject.toml
PyPIpython-docx—packages/markitdown-ocr/pyproject.toml
PyPIpython-pptx—packages/markitdown-ocr/pyproject.toml
PyPIpandas—packages/markitdown-ocr/pyproject.toml
PyPIopenpyxl—packages/markitdown-ocr/pyproject.toml
PyPIPillow>=9.0.0packages/markitdown-ocr/pyproject.toml
PyPImarkitdown>=0.1.0a1packages/markitdown-sample-plugin/pyproject.toml
PyPIstriprtf—packages/markitdown-sample-plugin/pyproject.toml
PyPIbeautifulsoup4—packages/markitdown/pyproject.toml
PyPIrequests—packages/markitdown/pyproject.toml
PyPImarkdownify—packages/markitdown/pyproject.toml
PyPImagika~=0.6.1packages/markitdown/pyproject.toml
PyPIcharset-normalizer—packages/markitdown/pyproject.toml
PyPIdefusedxml—packages/markitdown/pyproject.toml
All dependencies 77

Full resolved dependency set from the GitHub dependency graph: 28 direct and 49 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbeautifulsoup44.15.0direct
PyPIcharset-normalizer3.5.1direct
PyPIdefusedxml0.7.1direct
PyPImagika—direct
PyPImagika0.6.3direct
PyPImammoth—direct
PyPImammoth1.11.0direct
PyPImarkdownify1.2.3direct
PyPImarkitdown—direct
PyPImcp—direct
PyPIopenpyxl—direct
PyPIopenpyxl3.1.5direct
PyPIpandas—direct
PyPIpandas2.3.3direct
PyPIpandas3.0.5direct
PyPIpdfminer-six—direct
PyPIpdfminer-six20260107direct
PyPIpdfplumber—direct
PyPIpdfplumber0.11.10direct
PyPIpillow—direct
PyPIpillow12.3.0direct
PyPIpymupdf—direct
PyPIpython-docx—direct
PyPIpython-pptx—direct
PyPIpython-pptx1.0.2direct
PyPIrequests—direct
PyPIrequests2.34.2direct
PyPIstriprtf—direct
PyPIaudioop-lts0.2.2indirect
PyPIazure-ai-contentunderstanding—indirect
PyPIazure-ai-contentunderstanding1.2.0b3indirect
PyPIazure-ai-documentintelligence1.0.2indirect
PyPIazure-core1.41.0indirect
PyPIazure-identity1.25.3indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIclick8.5.0indirect
PyPIcobble0.1.4indirect
PyPIcoloredlogs15.0.1indirect
PyPIcryptography50.0.1indirect
PyPIet-xmlfile2.0.0indirect
PyPIflatbuffers25.12.19indirect
PyPIhumanfriendly10.0indirect
PyPIidna3.19indirect
PyPIisodate0.7.2indirect
PyPIlxml6.1.3indirect
PyPImpmath1.3.0indirect
PyPImsal1.38.0indirect
PyPImsal-extensions1.3.1indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.6indirect
PyPInumpy2.5.2indirect
PyPIolefile0.47indirect
PyPIonnxruntime1.20.1indirect
PyPIpackaging26.3indirect
PyPIprotobuf7.36.1indirect
PyPIpycparser3.0indirect
PyPIpydub0.25.1indirect
PyPIpyjwt2.13.0indirect
PyPIpypdfium25.13.0indirect
PyPIpyreadline33.5.6indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.3indirect
PyPIpytz2026.3.post1indirect
PyPIsix1.17.0indirect
PyPIsoupsieve2.9.2indirect
PyPIspeechrecognition3.17.0indirect
PyPIstandard-aifc3.13.0indirect
PyPIstandard-chunk3.13.0indirect
PyPIsympy1.14.0indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIxlrd2.0.2indirect
PyPIxlsxwriter3.2.9indirect
PyPIyoutube-transcript-api—indirect
PyPIyoutube-transcript-api1.0.3indirect
Dependency advisories 0

Installing pypi:markitdown@0.1.7 pulls in 19 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

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 v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.