Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-22 15:31 UTC

fractal-analytics-platform / fractal-tasks-core

Main tasks for the Fractal analytics platform

PythonBSD-3-Clause★ 27 stars⑂ 9 forkssince Jul 2022View on GitHub ↗

fractal-analytics-platform/fractal-tasks-core holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Vitality (89/100) and lowest on AI Readiness (37/100). It was last updated today. A single contributor accounts for most of its recent work.

86
overall / 100
Excellent

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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

FractalOrganization
47 followers48 public repossince Mar 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIfractal-tasks-core2.1.03,68311639 days ago

Metrics by category

Vitality

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

89Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
23.5/36Commit cadence34/52 weeks with commits
18/18Commit volume336 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year336
human_commit_share0.97
days_since_last_push0
active_weeks_last_year34
How it's scored
27/27Ships releases7 releases published
36/36Release recencylatest release 40 days ago
27/27Release cadencea release every ~19.5 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count7
latest_release_tag2.1.0
releases_from_tagsno
days_since_latest_release40
mean_days_between_releases19.5

Community & Adoption

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

48Weak · 17% of overall
How it's scored
23/60Stars27 stars
7.5/25Forks9 forks
1.7/15Watchers3 watchers
Inputs used
forks9
stars27
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes
How it's scored
47.6/80Monthly downloads3,683 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesfractal-tasks-core
dependents
ecosystemspypi
total_downloads
monthly_downloads3,683
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 factor1 contributor(s) cover half of all commits
5/22.5Commit distributiontop contributor authored 78% of commits
13.5/13.5Contributor breadth11 contributors
10/10OpenSSF Scorecard: Contributorsproject has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled11
top_contributor_share0.776
How it's scored
40.9/42Issue resolution98% of issues closed
26.2/30PR acceptance399/457 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/6 approved changesets -- score normalized to 0
Inputs used
merged_prs399
open_issues15
closed_issues577
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.975
closed_unmerged_prs58
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.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
12.1/25Owner reach47 followers of fractal-analytics-platform
23.1/25Track record48 public repos, account ~5 yr old
Inputs used
followers47
owner_typeOrganization
is_verifiedno
owner_loginfractal-analytics-platform
public_repos48
account_age_days1,976

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 39 days ago
20/20Version history116 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesfractal-tasks-core
ecosystemspypi
any_deprecatedno
min_days_since_publish39

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows7 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests5 out of 8 merged PRs checked by a CI test -- score normalized to 6
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://fractal-analytics-platform.github.io/fractal-tasks-core/
10/10Repository description
10/10Topics2 topics
0/10Wiki
Inputs used
topicsome-zarr-converter, ome-zarr
has_wikino
homepagehttps://fractal-analytics-platform.github.io/fractal-tasks-core/
docs_sitehttps://fractal-analytics-platform.github.io/fractal-tasks-core/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

74Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
1.5/2.5CI-Tests5 out of 8 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/6 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 6 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
3/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
3/5SASTSAST tool is not run on all commits -- score normalized to 6
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.7
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages77
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:fractal-tasks-core@2.1.0 runtime dependency closure — what installing the published package pulls in — 77 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.

37Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
13.7/40Legible commit history25 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.258
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance3 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.03
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/42 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes50,652
source_files_sampled42
oversized_source_files0

Key facts

27GitHub stars
11contributors
336commits, last 12 months
0days since last push
7releases
1bus factor
15open issues
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 ★ / 9 ⇿
0Stars
9Forks
7Releases

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.

0246810912023-112025-032026-08
Major 1Minor 1Patch 2

Each point covers 3 days.

OpenSSF Scorecard 6.7 / 10
6.7aggregate

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 · 2026-08-22 15:30 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
6CI-Tests5 out of 8 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/6 approved changesets -- score normalized to 0
10Contributorsproject has 6 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 12 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
6SASTSAST tool is not run on all commits -- score normalized to 6
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPInumpy>=2.0.0pyproject.toml
PyPIdask>=2023.1.0,<2025.11.0pyproject.toml
PyPIpydantic>2.11.0,<=2.12.0pyproject.toml
PyPIngio>=0.5.8,<0.6.0pyproject.toml
PyPIfractal-tasks-utils>=0.1.3,<0.2.0pyproject.toml
PyPIfractal-task-tools>=0.5.0,<0.6.0pyproject.toml
PyPIscikit-image>=0.19pyproject.toml
PyPIimage_registration>=0.2.9pyproject.toml
All dependencies 19

Full resolved dependency set from the GitHub dependency graph: 8 direct and 11 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdaskdirect
PyPIfractal-task-toolsdirect
PyPIfractal-tasks-utilsdirect
PyPIimage-registrationdirect
PyPIngiodirect
PyPInumpydirect
PyPIpydanticdirect
PyPIscikit-imagedirect
PyPIcoverageindirect
PyPIdevtools0.12.0indirect
PyPIgriffe-pydanticindirect
PyPIjsonschemaindirect
PyPImkdocstringsindirect
PyPIpooch1.8.0indirect
PyPIpre-commitindirect
PyPIpytestindirect
PyPIrequestsindirect
PyPIruffindirect
PyPIzensical0.0.47indirect
Dependency advisories 0

Installing pypi:fractal-tasks-core@2.1.0 pulls in 77 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 statisticsPyPI.