Public record
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-26 22:58 UTC

JuliaML / LossFunctions.jl

Julia package of loss functions for machine learning.

JuliaCustom license★ 153 stars⑂ 35 forkssince Oct 2015View on GitHub ↗

JuliaML/LossFunctions.jl holds a health index of 63 out of 100, placing it in the Moderate band. It scores highest on Vitality (73/100) and lowest on AI Readiness (20/100). It was last updated 27 days ago. 2 contributors account for most of its recent work.

63
overall / 100
Moderate

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

63
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.

Ownership

JuliaMLOrganization
131 followers40 public repossince Nov 2015

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

Metrics by category

Vitality

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

73Good · 22% of overall
How it's scored
28.8/36Push recency — last push 27 days ago
9.7/36Commit cadence — 14/52 weeks with commits
12.9/18Commit volume — 26 commits in the last year
9/10OpenSSF Scorecard: Maintained — 10 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 9
Inputs used
commits_last_year26
human_commit_share0.78
days_since_last_push27
active_weeks_last_year14
How it's scored
27/27Ships releases — 30 releases published
36/36Release recency — latest release 33 days ago
19.8/27Release cadence — a release every ~114.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count30
latest_release_tagv1.2.2
releases_from_tagsno
days_since_latest_release33
mean_days_between_releases114.9
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?

48At risk · 18% of overall
How it's scored
35.4/60Stars — 153 stars
12.8/25Forks — 35 forks
4.3/15Watchers — 7 watchers
Inputs used
forks35
stars153
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sustainability & Governance

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

69Moderate · 24% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.3/22.5Commit distribution — top contributor authored 50% of commits
13.5/13.5Contributor breadth — 20 contributors
10/10OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled20
top_contributor_share0.496
How it's scored
46.2/46.8Issue resolution — 99% of issues closed
34.4/38.3PR acceptance — 98/109 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — Found 1/17 approved changesets -- score normalized to 0
Inputs used
merged_prs98
open_issues1
closed_issues90
issue_closed_ratio0.989
closed_unmerged_prs11
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
15.2/25Owner reach — 131 followers of JuliaML
23.7/25Track record — 40 public repos, account ~10 yr old
Inputs used
followers131
owner_typeOrganization
is_verified
owner_loginJuliaML
public_repos40
account_age_days3,910

Engineering Quality

Are baseline engineering and documentation practices in place?

72Good · 20% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests — 5 out of 16 merged PRs checked by a CI test -- score normalized to 3
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://juliaml.github.io/LossFunctions.jl/stable
10/10Repository description
10/10Topics — 5 topics
10/10Wiki
Inputs used
topicsmachine-learning, loss-functions, classification, regression, julia
has_wikiyes
homepagehttps://juliaml.github.io/LossFunctions.jl/stable
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

48At risk · 16% of overall
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
0.8/2.5CI-Tests — 5 out of 16 merged PRs checked by a CI test -- score normalized to 3
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/17 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 22 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
2.2/2.5License — license file detected
6.8/7.5Maintained — 10 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 9
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not 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_aggregate4.8
Excluded from scoring (no data or not applicable): packaging, signed_releases. Remaining weights renormalized.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

20Critical · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
15/40Legible commit history — 22 of 78 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.282
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 20 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.2
How it's scored
0/45Type-checkable code — Julia without a type-check config
0/55Manageable file sizes — no source files detected
Inputs used
primary_languageJulia
largest_source_bytes
source_files_sampled0
oversized_source_files0
Excluded from scoring (no data or not applicable): Manageable file sizes. Remaining weights renormalized.

Key facts

153GitHub stars
20contributors
26commits, last 12 months
27days since last push
30releases
2bus factor
1open issues
package ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 35 ⇿
0Stars
35Forks
28Releases

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.

01325383522015-112021-022026-05
Major 1Minor 13Patch 14

Each point covers 10 days.

OpenSSF Scorecard 4.8 / 10
4.8aggregate

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 · 2026-07-26 22:57 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
3CI-Tests5 out of 16 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/17 approved changesets -- score normalized to 0
10Contributorsproject has 22 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
9Maintained10 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 9
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 0

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

RegistryPackageVersionRelation
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies to assess

Raw JSON report machine-readable
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            "components": [
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                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Julia without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Julia"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "no source files detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_source_files",
                    "params": {}
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-26T22:58:05.457841Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/j/JuliaML/LossFunctions.jl.svg",
  "full_name": "JuliaML/LossFunctions.jl",
  "license_state": "custom",
  "license_spdx": null
}

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 v1.13.0, schema v0.27.0 — full methodology · metrics wiki.

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