Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 18:36 UTC

spcl / dace

DaCe - Data Centric Parallel Programming

Python · Jupyter NotebookBSD-3-Clause★ 592 stars⑂ 163 forkssince Feb 2019View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#high-performance-computing#programming-language#cuda#fpga#high-level-synthesis#vivado-hls

spcl/dace holds a health index of 95 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (67/100). It was last updated today. 2 contributors account for most of its recent work.

95
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.

95
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 82 is calibrated to 95 on the published index scale (record calibration 2026-08-02).

Ownership

SPCLOrganization
382 followers166 public repossince Aug 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIdace1.0.220,74035542 days ago

Metrics by category

Vitality

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

93Exceptional · 21% of overall

Development activity

94Exceptional
How it's scored
36/36Push recency — last push 0 days ago
29.8/36Commit cadence — 43/52 weeks with commits
18/18Commit volume — 241 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year241
human_commit_share0.98
days_since_last_push0
active_weeks_last_year43

Release discipline

92Excellent
How it's scored
27/27Ships releases — 35 releases published
36/36Release recency — latest release 12 days ago
19.8/27Release cadence — a release every ~65.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count35
latest_release_tagv2.0.0-alpha8
releases_from_tagsno
days_since_latest_release12
mean_days_between_releases65.1
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?

76Good · 17% of overall

Popularity & adoption

70Good
How it's scored
45/60Stars — 592 stars
18.4/25Forks — 163 forks
6.4/15Watchers — 15 watchers
Inputs used
forks163
stars592
watchers15
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 (BSD-3-Clause)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, codecov.io, github.com, readthedocs.org
has_pull_request_templateno

Ecosystem adoption (downloads)

72Good
How it's scored
57.6/80Monthly downloads — 20,740 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdace
dependents—
ecosystemspypi
total_downloads—
monthly_downloads20,740
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?

73Good · 23% of overall

Maintainer resilience (bus factor)

61Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.6/22.5Commit distribution — top contributor authored 44% of commits
13.5/13.5Contributor breadth — 75 contributors
10/10OpenSSF Scorecard: Contributors — project has 14 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled75
top_contributor_share0.441

Issue & PR responsiveness

83Excellent
How it's scored
29.3/42Issue resolution — 70% of issues closed
25.3/30PR acceptance — 1,651/1,959 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs1,651
open_issues142
closed_issues328
prs_merged_7d13
prs_decided_7d16
prs_merged_30d44
prs_decided_30d54
issue_closed_ratio0.698
closed_unmerged_prs308
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1

Ownership & stewardship

74Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
18.6/25Owner reach — 382 followers of spcl
25/25Track record — 166 public repos, account ~9 yr old
Inputs used
followers382
owner_typeOrganization
is_verifiedno
owner_loginspcl
public_repos166
account_age_days3,314

Package maintenance

79Good
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
14/35Publish recency — latest publish 542 days ago
20/20Version history — 35 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdace
ecosystemspypi
any_deprecatedno
min_days_since_publish542

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 8 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
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 — http://dace.is/fast
10/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicshigh-performance-computing, programming-language, cuda, fpga, high-level-synthesis, vivado-hls
has_wikiyes
homepagehttp://dace.is/fast
docs_sitehttp://dace.is/fast
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

72Good · 16% of overall

Security posture

65Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
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 14 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
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 6 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 — 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_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6.5
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories34
affected_packages1
assessed_packages185
unassessed_packages8
affected_by_severitycritical 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 185 resolved dependencies against OSV. 8 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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 — 98 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

79Good
How it's scored
18/18One-command bootstrap — doc/Makefile
22/22Automated tests
11/11Lint / format config — ruff.toml
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 7 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 2 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
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.07
toolchain_manifests—
dependency_bot_commit_share0.02

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.9/55Manageable file sizes — 26/1,291 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes281,540
source_files_sampled1,291
oversized_source_files26

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 — notebooks, samples
Inputs used
example_dirsnotebooks, samples
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

592GitHub stars
75contributors
241commits, last 12 months
0days since last push
35releases
2bus factor
142open 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 ★ / 163 ⇿
0Stars
163Forks
34Releases

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.

0408012016020016142019-032022-122026-09
Major 1Minor 2Patch 18

Each point covers 7 days.

OpenSSF Scorecard 6.5 / 10
6.5aggregate

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 · 2026-09-13 18:36 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
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 14 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 6 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
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
Direct dependencies 17
RegistryPackageVersion constraintManifest
PyPInumpy—pyproject.toml
PyPInetworkx>=2.5,<=3.5pyproject.toml
PyPIastunparse—pyproject.toml
PyPIsympy>=1.9pyproject.toml
PyPIpyyaml—pyproject.toml
PyPIply—pyproject.toml
PyPIfparser>=0.1.3,!=0.2.3pyproject.toml
PyPIdill—pyproject.toml
PyPIpyreadline—pyproject.toml
PyPIpackaging—pyproject.toml
PyPItyping-extensions—pyproject.toml
PyPIml_dtypes—pyproject.toml
PyPIordered-set>=4.0.0pyproject.toml
PyPIscikit-build—pyproject.toml
PyPIcmake—pyproject.toml
PyPIninja—pyproject.toml
PyPIclick>=8.0pyproject.toml
All dependencies 193

Full resolved dependency set from the GitHub dependency graph: 24 direct and 169 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIastunparse1.6.3direct
PyPIclick8.4.2direct
PyPIcmake4.4.2direct
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PyPIfparser—direct
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PyPIml-dtypes0.6.0direct
PyPInetworkx—direct
PyPInetworkx3.4.2direct
PyPInetworkx3.5direct
PyPIninja1.13.0direct
PyPInumpy2.2.6direct
PyPInumpy2.4.6direct
PyPInumpy2.5.2direct
PyPIordered-set—direct
PyPIordered-set4.1.0direct
PyPIpackaging26.3direct
PyPIply3.11direct
PyPIpyreadline2.1direct
PyPIpyyaml6.0.3direct
PyPIscikit-build0.19.1direct
PyPIsympy—direct
PyPIsympy1.14.0direct
PyPItyping-extensions4.16.0direct
PyPIabsl-py2.5.0indirect
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PyPIipython8.39.0indirect
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PyPIjax—indirect
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PyPIjedi0.20.0indirect
PyPIjinja2—indirect
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PyPIregex2026.7.19indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
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PyPIsphinx-autodoc-typehints3.13.2indirect
PyPIsphinx-autodoc-typehints3.6.1indirect
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PyPIsphinx-rtd-theme3.1.0indirect
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PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
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PyPItomli2.4.1indirect
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PyPItransformers4.50indirect
PyPItransformers5.10.1indirect
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PyPItyper0.27.2indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.7.4indirect
PyPIwcwidth0.8.2indirect
PyPIwebencodings0.6.1indirect
PyPIwheel0.48.0indirect
PyPIyapf0.43.0indirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 185 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct. 8 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
transformers4.50indirectcritical345.10.0

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

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