Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-12 11:51 UTC

clearml / clearml-agent

ClearML Agent - MLOps/LLMOps made easy. MLOps/LLMOps scheduler & orchestration solution

Python · RustApache-2.0★ 314 stars⑂ 121 forkssince Oct 2019View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#devops#kubernetes#deep-learning#deeplearning#machine-learning#cluster-manager#mlops#clearml-agent#gpu#deep-learning-devops#k8s#orchestration#llmops

clearml/clearml-agent holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Vitality (79/100) and lowest on Security (32/100). It was last updated today. 2 contributors account for most of its recent work.

77
overall / 100
Good

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.

77
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

ClearMLOrganization · verified domain
259 followers32 public repossince Apr 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIclearml_agent3.0.3432,464165132 days agoclearmltrainsdevopsmachinedeeplearningagentautomationhpccluster

Metrics by category

Vitality

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

79Good · 21% of overall

Development activity

78Good
How it's scored
36/36Push recency — last push 0 days ago
14.5/36Commit cadence — 21/52 weeks with commits
18/18Commit volume — 100 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_year100
human_commit_share1
days_since_last_push0
active_weeks_last_year21

Release discipline

81Excellent
How it's scored
27/27Ships releases — 51 releases published
27/36Release recency — latest release 132 days ago
27/27Release cadence — a release every ~35.8 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count51
latest_release_tagv3.0.3
releases_from_tagsno
days_since_latest_release132
mean_days_between_releases35.8

Community & Adoption

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

67Good · 17% of overall

Popularity & adoption

64Moderate
How it's scored
40.5/60Stars — 314 stars
17.3/25Forks — 121 forks
6.2/15Watchers — 14 watchers
Inputs used
forks121
stars314
watchers14
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

94Exceptional
How it's scored
75.1/80Monthly downloads — 432,464 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesclearml_agent
dependents—
ecosystemspypi
total_downloads—
monthly_downloads432,464
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?

72Good · 23% of overall

Maintainer resilience (bus factor)

57Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
15.3/22.5Commit distribution — top contributor authored 32% of commits
13.5/13.5Contributor breadth — 28 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor2
contributors_sampled28
top_contributor_share0.318

Issue & PR responsiveness

49Weak
How it's scored
18.2/42Issue resolution — 43% of issues closed
24.2/30PR acceptance — 42/52 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs42
open_issues120
closed_issues92
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.434
closed_unmerged_prs10
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

90Excellent
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
17.4/25Owner reach — 259 followers of clearml
23.1/25Track record — 32 public repos, account ~8 yr old
Inputs used
followers259
owner_typeOrganization
is_verifiedyes
owner_loginclearml
public_repos32
account_age_days3,094

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 132 days ago
20/20Version history — 165 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesclearml_agent
ecosystemspypi
any_deprecatedno
min_days_since_publish132

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall

Engineering practices

60Moderate
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://clear.ml/docs/
10/10Repository description
10/10Topics — 13 topics
10/10Wiki
Inputs used
topicsdevops, kubernetes, deep-learning, deeplearning, machine-learning, cluster-manager, mlops, clearml-agent, gpu, deep-learning-devops, k8s, orchestration, llmops
has_wikiyes
homepagehttps://clear.ml/docs/
docs_sitehttps://clear.ml/docs/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

32At Risk · 16% of overall

Security posture

24At Risk
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
0/10Dangerous-Workflow — dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no 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 — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
4.5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0.8/7.5Vulnerabilities — 9 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate2.4
Excluded from scoring (no data or not applicable): CI-Tests, Packaging. Remaining weights renormalized.

Dependency advisories

66Good
How it's scored
10.2/35Direct dependencies free of known advisories — 3 affected: virtualenv 20.39.1 (high 7.8), requests 2.32.5 (moderate 5.5), setuptools 81.0.0 (moderate 6.1)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
31/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 200 days ago
Inputs used
sourceosv
advisories12
affected_packages3
assessed_packages11
unassessed_packages0
affected_by_severityhigh 1, moderate 2
direct_affected_packages3
Matched the pypi:clearml_agent@3.0.3 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.

55Moderate · 4% of overall

Agent context & guidance

20At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://clear.ml/llms.txt)
5.3/40Legible commit history — 10 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://clear.ml/llms.txt
legible_history_share0.1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

56Moderate
How it's scored
12.6/18One-command bootstrap — clearml_snug/Cargo.toml, clearml_snug/messages/Cargo.toml, clearml_snug/proxy/Cargo.toml (toolchain convention, no task runner)
22/22Automated tests
0/11Lint / format config
11/11Static type checking — clearml_agent/_vendor/attr/py.typed, clearml_agent/_vendor/attrs/py.typed, clearml_agent/_vendor/jwt/py.typed, clearml_agent/_vendor/pyparsing/py.typed, clearml_agent/_vendor/pyrsistent/py.typed, clearml_agent/_vendor/ruamel/yaml/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesCargo.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configsclearml_agent/_vendor/attr/py.typed, clearml_agent/_vendor/attrs/py.typed, clearml_agent/_vendor/jwt/py.typed, clearml_agent/_vendor/pyparsing/py.typed, clearml_agent/_vendor/pyrsistent/py.typed, clearml_agent/_vendor/ruamel/yaml/py.typed
agent_commit_share0
toolchain_manifestsclearml_snug/Cargo.toml, clearml_snug/messages/Cargo.toml, clearml_snug/proxy/Cargo.toml, clearml_snug/reporter/Cargo.toml, clearml_snug/shim/Cargo.toml
dependency_bot_commit_share0

Code legibility for models

77Good
How it's scored
27/45Type-checkable code — Python with type-check config (clearml_agent/_vendor/attr/py.typed, clearml_agent/_vendor/attrs/py.typed, clearml_agent/_vendor/jwt/py.typed, clearml_agent/_vendor/pyparsing/py.typed, clearml_agent/_vendor/pyrsistent/py.typed, clearml_agent/_vendor/ruamel/yaml/py.typed)
50/55Manageable file sizes — 40/442 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes302,067
source_files_sampled442
oversized_source_files40

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
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

314GitHub stars
28contributors
100commits, last 12 months
0days since last push
51releases
2bus factor
120open issues
crates.io, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 121 ⇿
0Stars
121Forks
51Releases

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.

020406080100120120172019-102023-042026-09
Major 3Minor 14Patch 34

Each point covers 7 days.

OpenSSF Scorecard 2.4 / 10
2.4aggregate

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 · 2026-10-12 11:49 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
0Dangerous-Workflowdangerous workflow patterns detected
0Dependency-Update-Toolno update 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
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
9Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
1Vulnerabilities9 existing vulnerabilities detected
All dependencies 145

Full resolved dependency set from the GitHub dependency graph: 0 direct and 145 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
crates.ioadler22.0.1indirect
crates.ioarc-swap—indirect
crates.ioarc-swap1.9.1indirect
crates.ioarc-swap1.9.2indirect
crates.iobase64—indirect
crates.iobase640.22.1indirect
crates.iobitflags2.11.1indirect
crates.iocc1.2.63indirect
crates.iocc1.2.67indirect
crates.iocfg-if1.0.4indirect
crates.iocrc32fast1.5.0indirect
crates.ioctor—indirect
crates.ioctor0.2.9indirect
crates.ioderanged0.5.8indirect
crates.iodisplaydoc0.2.6indirect
crates.iofind-msvc-tools0.1.9indirect
crates.ioflate2—indirect
crates.ioflate21.1.9indirect
crates.ioform_urlencoded1.2.2indirect
crates.iogetrandom0.2.17indirect
crates.iohttparse—indirect
crates.iohttparse1.10.1indirect
crates.ioicu_collections2.2.0indirect
crates.ioicu_locale_core2.2.0indirect
crates.ioicu_normalizer2.2.0indirect
crates.ioicu_normalizer_data2.2.0indirect
crates.ioicu_properties2.2.0indirect
crates.ioicu_properties_data2.2.0indirect
crates.ioicu_provider2.2.0indirect
crates.ioidna1.1.0indirect
crates.ioidna_adapter1.2.2indirect
crates.ioitoa1.0.18indirect
crates.iolibc—indirect
crates.iolibc0.2.186indirect
crates.iolitemap0.8.2indirect
crates.iolock_api0.4.14indirect
crates.iolog0.4.32indirect
crates.iolog0.4.33indirect
crates.ioloona-hpack0.4.3indirect
crates.iomemchr2.8.1indirect
crates.iomemchr2.8.3indirect
crates.iominiz_oxide0.8.9indirect
crates.ionum-conv0.2.2indirect
crates.ioonce_cell1.21.4indirect
crates.ioparking_lot—indirect
crates.ioparking_lot0.12.5indirect
crates.ioparking_lot_core0.9.12indirect
crates.iopem3.0.6indirect
crates.iopercent-encoding2.3.2indirect
crates.iopin-project-lite0.2.17indirect
crates.iopotential_utf0.1.5indirect
crates.iopowerfmt0.2.0indirect
crates.ioproc-macro21.0.106indirect
crates.ioquote1.0.45indirect
crates.ioquote1.0.46indirect
crates.iorcgen0.13.2indirect
crates.ioredox_syscall0.5.18indirect
crates.ioring0.17.14indirect
crates.iorustls—indirect
crates.iorustls0.23.40indirect
crates.iorustls0.23.42indirect
crates.iorustls-pemfile—indirect
crates.iorustls-pemfile2.2.0indirect
crates.iorustls-pki-types1.14.1indirect
crates.iorustls-pki-types1.15.0indirect
crates.iorustls-webpki0.103.13indirect
crates.iorustversion1.0.22indirect
crates.iorustversion1.0.23indirect
crates.ioruzstd—indirect
crates.ioruzstd0.7.3indirect
crates.ioscopeguard1.2.0indirect
crates.ioserde—indirect
crates.ioserde1.0.228indirect
crates.ioserde_core1.0.228indirect
crates.ioserde_derive1.0.228indirect
crates.ioserde_json—indirect
crates.ioserde_json1.0.150indirect
crates.ioshlex2.0.1indirect
crates.iosimd-adler320.3.10indirect
crates.iosimd-adler320.3.9indirect
crates.iosmallvec1.15.1indirect
crates.iosmallvec1.15.2indirect
crates.iostable_deref_trait1.2.1indirect
crates.iostatic_assertions1.1.0indirect
crates.iosubtle2.6.1indirect
crates.iosyn2.0.117indirect
crates.iosyn2.0.118indirect
crates.iosynstructure0.13.2indirect
crates.iothiserror1.0.69indirect
crates.iothiserror-impl1.0.69indirect
crates.iotime0.3.53indirect
crates.iotime-core0.1.9indirect
crates.iotinystr0.8.3indirect
crates.iotracing0.1.44indirect
crates.iotracing-attributes0.1.31indirect
crates.iotracing-core0.1.36indirect
crates.iotwox-hash1.6.3indirect
crates.iounicode-ident1.0.24indirect
crates.iountrusted0.9.0indirect
crates.ioureq—indirect
crates.ioureq2.12.1indirect
crates.iourl2.5.8indirect
crates.ioutf8_iter1.0.4indirect
crates.iowasi0.11.1+wasi-snapshot-preview1indirect
crates.iowebpki-roots—indirect
crates.iowebpki-roots0.26.11indirect
crates.iowebpki-roots1.0.7indirect
crates.iowebpki-roots1.0.8indirect
crates.iowindows-link0.2.1indirect
crates.iowindows-sys0.52.0indirect
crates.iowindows-targets0.52.6indirect
crates.iowindows_aarch64_gnullvm0.52.6indirect
crates.iowindows_aarch64_msvc0.52.6indirect
crates.iowindows_i686_gnu0.52.6indirect
crates.iowindows_i686_gnullvm0.52.6indirect
crates.iowindows_i686_msvc0.52.6indirect
crates.iowindows_x86_64_gnu0.52.6indirect
crates.iowindows_x86_64_gnullvm0.52.6indirect
crates.iowindows_x86_64_msvc0.52.6indirect
crates.iowriteable0.6.3indirect
crates.ioyasna0.5.2indirect
crates.ioyoke0.8.3indirect
crates.ioyoke-derive0.8.2indirect
crates.iozerofrom0.1.8indirect
crates.iozerofrom-derive0.1.7indirect
crates.iozeroize1.8.2indirect
crates.iozeroize1.9.0indirect
crates.iozerotrie0.2.4indirect
crates.iozerovec0.11.6indirect
crates.iozerovec-derive0.11.3indirect
crates.iozmij1.0.21indirect
crates.iozmij1.0.23indirect
PyPIattrs—indirect
PyPIfurl—indirect
PyPIpathlib2—indirect
PyPIpsutil—indirect
PyPIpytest—indirect
PyPIpytest-env—indirect
PyPIpywin32—indirect
PyPIpyyaml—indirect
PyPIrequests—indirect
PyPIsetuptools—indirect
PyPIsix—indirect
PyPIurllib3—indirect
PyPIvirtualenv—indirect
Dependency advisories 3

Installing pypi:clearml_agent@3.0.3 pulls in 11 packages, direct and transitive: 3 carry known advisories, of which 3 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
virtualenv20.39.1directhigh821.7.13
requests2.32.5directmoderate22.33.0
setuptools81.0.0directmoderate283.0.0

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

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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.