Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 13:10 UTC

open-edge-platform / datumaro

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

PythonMIT★ 689 stars⑂ 161 forkssince Sep 2020View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#deep-learning#neural-networks#computer-vision#datasets#format-converter#dataset#coco#imagenet#pascal-voc#yolo#geti

open-edge-platform/datumaro holds a health index of 99 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on AI Readiness (67/100). It was last updated 1 day ago. 4 contributors account for most of its recent work.

99
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.

99
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 89 is calibrated to 99 on the published index scale (record calibration 2026-08-02).

Ownership

Open Edge PlatformOrganization · verified domain
437 followers62 public repossince Feb 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIdatumaro1.13.11-7910 days ago

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 1 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 241 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year241
human_commit_share0.58
days_since_last_push1
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 79 releases published
36/36Release recency — latest release 10 days ago
27/27Release cadence — a release every ~9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count79
latest_release_tagv1.13.11
releases_from_tagsno
days_since_latest_release10
mean_days_between_releases9
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?

80Excellent · 17% of overall

Popularity & adoption

70Good
How it's scored
46/60Stars — 689 stars
18.4/25Forks — 161 forks
5.6/15Watchers — 11 watchers
Inputs used
forks161
stars689
watchers11
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
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_badges2
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

90Excellent · 23% of overall

Maintainer resilience (bus factor)

85Excellent
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
18.3/22.5Commit distribution — top contributor authored 19% of commits
13.5/13.5Contributor breadth — 52 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled52
top_contributor_share0.186

Issue & PR responsiveness

92Excellent
How it's scored
39.3/42Issue resolution — 94% of issues closed
24.9/30PR acceptance — 1,503/1,813 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs1,503
open_issues24
closed_issues353
prs_merged_7d0
prs_decided_7d0
prs_merged_30d5
prs_decided_30d5
issue_closed_ratio0.936
closed_unmerged_prs310
first_time_authors_30d1
first_time_prs_merged_30d2
first_time_prs_decided_30d2

Ownership & stewardship

85Excellent
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
19/25Owner reach — 437 followers of open-edge-platform
16.2/25Track record — 62 public repos, account ~1 yr old
Inputs used
followers437
owner_typeOrganization
is_verifiedyes
owner_loginopen-edge-platform
public_repos62
account_age_days583

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 10 days ago
20/20Version history — 79 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdatumaro
ecosystemspypi
any_deprecatedno
min_days_since_publish10

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 13 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
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

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://open-edge-platform.github.io/datumaro
10/10Repository description
10/10Topics — 11 topics
10/10Wiki
Inputs used
topicsdeep-learning, neural-networks, computer-vision, datasets, format-converter, dataset, coco, imagenet, pascal-voc, yolo, geti
has_wikiyes
homepagehttps://open-edge-platform.github.io/datumaro
docs_sitehttps://open-edge-platform.github.io/datumaro
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

84Excellent · 16% of overall

Security posture

80Excellent
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
1.5/7.5Branch-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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 8 contributing companies or organizations
0/10Dangerous-Workflow — no data
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 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — no data
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — no data
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate8
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. 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_packages23
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:datumaro@1.13.11 runtime dependency closure — what installing the published package pulls in — 23 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.

67Good · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 57 of 58 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.983
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

79Good
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 13 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.13
toolchain_manifestsrust/Cargo.toml
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.5/55Manageable file sizes — 14/500 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes114,760
source_files_sampled500
oversized_source_files14

Machine-readable interfaces

100Exceptional
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — src/datumaro/plugins/data_formats/ava/ava_label.proto
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — notebooks
Inputs used
example_dirsnotebooks
has_mcp_signalno
api_schema_filessrc/datumaro/plugins/data_formats/ava/ava_label.proto
interfaces_expected_of—
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

689GitHub stars
52contributors
241commits, last 12 months
1days since last push
79releases
4bus factor
24open issues
crates.io, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'datumaro' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • Could not fetch crates package 'datumaro-rust-api' from its registry

More detail

Star and fork history 0 ★ / 161 ⇿
0Stars
161Forks
77Releases

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.

025507510012515013132020-102023-092026-09
Major 1Minor 14Patch 35

Each point covers 6 days.

OpenSSF Scorecard 8.0 / 10
8.0aggregate

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 · 2026-09-18 13:09 UTC

10Binary-Artifactsno binaries found in the repo
2Branch-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
10Code-Reviewall changesets reviewed
10Contributorsproject has 8 contributing companies or organizations
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 24
RegistryPackageVersion constraintManifest
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PyPIlxml~=6.0pyproject.toml
PyPInumpy>=2.2,<2.5pyproject.toml
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PyPItyping_extensions~=4.15pyproject.toml
crates.ioderive_more0.99.17rust/Cargo.toml
crates.iopyo30.29.0rust/Cargo.toml
crates.ioserde1.0.180rust/Cargo.toml
crates.ioserde_json1.0.104rust/Cargo.toml
crates.iostrum0.28rust/Cargo.toml
crates.iotempfile3.8.0rust/Cargo.toml
All dependencies 267

Full resolved dependency set from the GitHub dependency graph: 25 direct and 242 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIstandard-imghdr3.10.14indirect
PyPIsympy1.14.0indirect
PyPItabulate0.10.0indirect
PyPItensorboard2.20.0indirect
PyPItensorboard-data-server0.7.2indirect
PyPItensorboardx2.6.5indirect
PyPItensorflow2.20.0indirect
PyPItermcolor3.3.0indirect
PyPIterminado0.18.1indirect
PyPItext-unidecode1.3indirect
PyPItifffile2025.5.10indirect
PyPItifffile2026.3.3indirect
PyPItifffile2026.9.9indirect
PyPItinycss21.5.1indirect
PyPItokenizers0.23.2indirect
PyPItomli2.4.1indirect
PyPItorch2.14.0indirect
PyPItorchvision0.29.0indirect
PyPItornado6.5.8indirect
PyPItraitlets5.16.1indirect
PyPItriton3.8.0indirect
PyPItzdata2026.4indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIwcwidth0.8.3indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.6.1indirect
PyPIwebsocket-client1.9.2indirect
PyPIwerkzeug3.1.8indirect
PyPIwheel0.48.0indirect
PyPIwidgetsnbextension4.0.16indirect
PyPIwrapt2.4.1indirect
Dependency advisories 0

Installing pypi:datumaro@1.13.11 pulls in 23 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.

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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.