Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 23:16 UTC

albumentations-team / AlbumentationsX

Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.

PythonAGPL-3.0★ 552 stars⑂ 41 forkssince Jun 2025View on GitHub ↗

albumentations-team/AlbumentationsX holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (67/100). It was last updated 1 day ago. A single contributor accounts 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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

Albumentations.AIOrganization
176 followers13 public repossince Nov 2019

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

Package ecosystems

Metrics by category

Vitality

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

91Excellent · 21% of overall
How it's scored
36/36Push recency — last push 1 days ago
27/36Commit cadence — 39/52 weeks with commits
18/18Commit volume — 281 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_year281
human_commit_share1
days_since_last_push1
active_weeks_last_year39
How it's scored
27/27Ships releases — 43 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~3.8 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count43
latest_release_tag2.4.10
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases3.8

Community & Adoption

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

71Good · 17% of overall
How it's scored
44.5/60Stars — 552 stars
13.4/25Forks — 41 forks
1.7/15Watchers — 3 watchers
Inputs used
forks41
stars552
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (AGPL-3.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges10
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, github.com, shields.io
has_pull_request_templateno
How it's scored
55.2/80Monthly downloads — 13,849 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesalbumentationsx
dependents—
ecosystemspypi
total_downloads—
monthly_downloads13,849
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?

67Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.9/22.5Commit distribution — top contributor authored 83% of commits
13.5/13.5Contributor breadth — 14 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled14
top_contributor_share0.827
How it's scored
36.2/42Issue resolution — 86% of issues closed
25.7/30PR acceptance — 293/342 decided PRs merged
11.1/13Newcomer PR acceptance — 6/7 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 17/30 approved changesets -- score normalized to 5
Inputs used
merged_prs293
open_issues23
closed_issues143
prs_merged_7d10
prs_decided_7d10
prs_merged_30d46
prs_decided_30d50
issue_closed_ratio0.861
closed_unmerged_prs49
first_time_authors_30d3
first_time_prs_merged_30d6
first_time_prs_decided_30d7
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
16.2/25Owner reach — 176 followers of albumentations-team
20.3/25Track record — 13 public repos, account ~6 yr old
Inputs used
followers176
owner_typeOrganization
is_verifiedno
owner_loginalbumentations-team
public_repos13
account_age_days2,493

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 1 days ago
20/20Version history — 42 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesalbumentationsx
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows — 10 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://albumentations.ai/pricing
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsdata-augmentation, deep-learning, deeplearning, image-augmentation, image-classification, image-processing, instance-segmentation, object-detection, python, image-segmentations, 3d, augmentation, bounding-box, computer-vision, keypoint-detection, machine-learning, medical-imaging, pytorch, segmentation, tensorflow
has_wikiyes
homepagehttps://albumentations.ai/pricing
docs_sitehttps://albumentations.ai/pricing
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

78Good · 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 17/30 approved changesets -- score normalized to 5
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
4/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
6/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7.3

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_packages11
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:albumentationsx@2.4.10 runtime dependency closure — what installing the published package pulls in — 11 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.

79Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://albumentations.ai/llms.txt)
40/40Legible commit history — 93 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://albumentations.ai/llms.txt
legible_history_share0.93
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes678
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — albumentations/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsalbumentations/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (albumentations/py.typed)
51.9/55Manageable file sizes — 17/298 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes189,699
source_files_sampled298
oversized_source_files17

Key facts

552GitHub stars
14contributors
281commits, last 12 months
1days since last push
43releases
1bus factor
23open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'albumentationsx' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for albumentationsx carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

Star and fork history 0 ★ / 41 ⇿
0Stars
41Forks
39Releases

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.

010203040504122025-062026-012026-09
Major 0Minor 4Patch 35

Each point covers 2 days.

OpenSSF Scorecard 7.3 / 10
7.3aggregate

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 · 2026-09-15 23:16 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 17/30 approved changesets -- score normalized to 5
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
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
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
8SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
8Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6Vulnerabilities4 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIalbucore==0.2.18pyproject.toml
PyPInumkong>=7.8.0pyproject.toml
PyPInumpy>=2.2.6pyproject.toml
PyPIpydantic>=2.12.4pyproject.toml
PyPIpyyaml>=6.0.3pyproject.toml
PyPIscipy>=1.15.3pyproject.toml
PyPItyping-extensions>=4.9.0pyproject.toml
All dependencies 198

Full resolved dependency set from the GitHub dependency graph: 11 direct and 187 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalbucore0.2.18direct
PyPInumkong7.8.0direct
PyPInumpy2.2.6direct
PyPInumpy2.4.6direct
PyPInumpy2.5.1direct
PyPIpydantic2.13.4direct
PyPIpyyaml6.0.3direct
PyPIscipy1.15.3direct
PyPIscipy1.17.1direct
PyPIscipy1.18.0direct
PyPItyping-extensions4.16.0direct
PyPIalbu-spec—indirect
PyPIalbu-spec0.0.6indirect
PyPIalbumentationsx2.4.10indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIarrow1.4.0indirect
PyPIast-serialize0.6.0indirect
PyPIasv—indirect
PyPIasv0.6.6indirect
PyPIasv-runner0.2.5indirect
PyPIattrs26.1.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIboolean-py5.0indirect
PyPIbuild1.5.1indirect
PyPIcachebox5.2.3indirect
PyPIcachecontrol0.14.4indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.5.0indirect
PyPIchardet5.2.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcryptography49.0.0indirect
PyPIcyclonedx-bom—indirect
PyPIcyclonedx-bom7.3.1indirect
PyPIcyclonedx-python-lib11.11.0indirect
PyPIdeepdiff—indirect
PyPIdeepdiff9.1.0indirect
PyPIdefusedxml—indirect
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PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhuggingface-hub—indirect
PyPIhuggingface-hub1.27.0indirect
PyPIhypothesis—indirect
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PyPIid1.6.1indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIimageio2.37.3indirect
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PyPIjinja23.1.6indirect
PyPIjoblib1.5.3indirect
PyPIjson50.15.0indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
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PyPImypy—indirect
PyPImypy2.3.0indirect
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PyPIopencv-contrib-python-headless5.0.0.93indirect
PyPIopencv-python5.0.0.93indirect
PyPIopencv-python-headless—indirect
PyPIopencv-python-headless5.0.0.93indirect
PyPIorderly-set5.5.0indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIpillow—indirect
PyPIpillow12.3.0indirect
PyPIpip26.1.2indirect
PyPIpip-api0.0.34indirect
PyPIpip-audit—indirect
PyPIpip-audit2.10.1indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit—indirect
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PyPIpygments2.20.0indirect
PyPIpympler1.1indirect
PyPIpyparsing3.3.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpyrefly—indirect
PyPIpyrefly1.2.0indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov—indirect
PyPIpytest-mock—indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-randomly—indirect
PyPIpytest-randomly4.1.0indirect
PyPIpytest-xdist—indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.4indirect
PyPIpytz—indirect
PyPIpytz2026.3.post1indirect
PyPIpyvips—indirect
PyPIpyvips3.1.1indirect
PyPIpyvips-binary8.18.4indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIreadme-renderer45.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests—indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
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PyPIrfc3986-validator0.1.1indirect
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PyPIrpds-py2026.6.3indirect
PyPIruff—indirect
PyPIruff0.16.2indirect
PyPIscikit-image—indirect
PyPIscikit-image0.25.2indirect
PyPIscikit-image0.26.0indirect
PyPIscikit-learn—indirect
PyPIscikit-learn1.7.2indirect
PyPIscikit-learn1.9.0indirect
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PyPIsetuptools83.0.0indirect
PyPIsix1.17.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIstringzilla5.1.2indirect
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PyPIthreadpoolctl3.6.0indirect
PyPItifffile2025.5.10indirect
PyPItifffile2026.3.3indirect
PyPItifffile2026.6.1indirect
PyPItomli—indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItorch2.13.0indirect
PyPItorch2.13.0+cpuindirect
PyPItqdm4.68.4indirect
PyPItwine—indirect
PyPItwine7.0.0indirect
PyPItypes-pyyaml—indirect
PyPItypes-pyyaml6.0.12.20260724indirect
PyPItypes-setuptools—indirect
PyPItypes-setuptools84.0.0.20260812indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.6.1indirect
PyPIwebcolors25.10.0indirect
PyPIzipp4.1.0indirect
PyPIzizmor—indirect
PyPIzizmor1.29.0indirect
Dependency advisories 0

Installing pypi:albumentationsx@2.4.10 pulls in 11 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.