Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-16 14:47 UTC

rsagroup / rsatoolbox

Python library for Representational Similarity Analysis

PythonMIT★ 249 stars⑂ 52 forkssince Oct 2019View on GitHub ↗

rsagroup/rsatoolbox holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (80/100) and lowest on AI Readiness (60/100). It was last updated today. A single contributor accounts for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

27 followers3 public repossince Feb 2015

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIrsatoolbox0.3.25,02375208 days agoneuroscience

Metrics by category

Vitality

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

70Good · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
12.5/36Commit cadence18/52 weeks with commits
17.6/18Commit volume91 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year91
human_commit_share0.99
days_since_last_push0
active_weeks_last_year18
How it's scored
27/27Ships releases11 releases published
16.2/36Release recencylatest release 208 days ago
12.6/27Release cadencea release every ~125.6 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count11
latest_release_tagv0.3.2
releases_from_tagsno
days_since_latest_release208
mean_days_between_releases125.6
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?

64Moderate · 17% of overall
How it's scored
38.8/60Stars249 stars
14.2/25Forks52 forks
6.4/15Watchers15 watchers
Inputs used
forks52
stars249
watchers15
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesapp.codacy.com, badge.fury.io, readthedocs.org
has_pull_request_templateno
How it's scored
49.3/80Monthly downloads5,023 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesrsatoolbox
dependents
ecosystemspypi
total_downloads
monthly_downloads5,023
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
11.2/22.5Commit distributiontop contributor authored 50% of commits
13.5/13.5Contributor breadth28 contributors
10/10OpenSSF Scorecard: Contributorsproject has 27 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled28
top_contributor_share0.502
How it's scored
33.3/42Issue resolution79% of issues closed
26.9/30PR acceptance218/243 decided PRs merged
8.7/13Newcomer PR acceptance2/3 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-ReviewFound 2/7 approved changesets -- score normalized to 2
Inputs used
merged_prs218
open_issues44
closed_issues168
prs_merged_7d2
prs_decided_7d3
prs_merged_30d4
prs_decided_30d5
issue_closed_ratio0.792
closed_unmerged_prs25
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d3
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
10.4/25Owner reach27 followers of rsagroup
16.4/25Track record3 public repos, account ~11 yr old
Inputs used
followers27
owner_typeOrganization
is_verified
owner_loginrsagroup
public_repos3
account_age_days4,187
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
26/35Publish recencylatest publish 208 days ago
20/20Version history75 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesrsatoolbox
ecosystemspypi
any_deprecatedno
min_days_since_publish208

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter configruff.toml
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepage
docs_site
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
4.5/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-ReviewFound 2/7 approved changesets -- score normalized to 2
2.5/2.5Contributorsproject has 27 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 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
6.8/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
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): Signed-Releases. 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_packages24
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:rsatoolbox@0.3.2 runtime dependency closure — what installing the published package pulls in — 24 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.

60Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
14/40Legible commit history26 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.263
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configruff.toml
11/11Static type checkingsrc/rsatoolbox/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance1 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/rsatoolbox/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.01
How it's scored
27/45Type-checkable codePython with type-check config (src/rsatoolbox/py.typed)
55/55Manageable file sizes0/110 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes41,662
source_files_sampled110
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesdemos, notebooks
Inputs used
example_dirsdemos, 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

249GitHub stars
28contributors
91commits, last 12 months
0days since last push
11releases
1bus factor
44open 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 ★ / 52 ⇿
0Stars
52Forks
11Releases

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.

01020304050605132019-112023-012026-04
Major 0Minor 3Patch 8

Each point covers 6 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 · 2026-08-16 14:46 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 2/7 approved changesets -- score normalized to 2
10Contributorsproject has 27 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 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow 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
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 17

Full resolved dependency set from the GitHub dependency graph: 0 direct and 17 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIh5pyindirect
PyPIipykernelindirect
PyPIjoblibindirect
PyPImatplotlibindirect
PyPImneindirect
PyPInbsphinxindirect
PyPInbsphinx-linkindirect
PyPInetworkxindirect
PyPInumpyindirect
PyPIpandasindirect
PyPIparameterizedindirect
PyPIpytestindirect
PyPIscikit-imageindirect
PyPIscikit-learnindirect
PyPIscipyindirect
PyPIsphinxindirect
PyPItqdmindirect
Dependency advisories 0

Installing pypi:rsatoolbox@0.3.2 pulls in 24 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 v0.31.0 — full methodology · metrics wiki.

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