Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 21:51 UTC

lperezmo / st-rsuite

RSuite date & time components for Streamlit, built with Components v2 (open source)

Python · TypeScriptMIT★ 4 stars⑂ 0 forkssince Mar 2026View on GitHub ↗
KindLibraryhow this is determined
#claude-code#mui-x#opus-4-6#rsuite#rsuitejs#streamlit#streamlit-cloud#streamlit-components#streamlit-components-v2

lperezmo/st-rsuite holds a health index of 69 out of 100, placing it in the Good band. It scores highest on Vitality (80/100) and lowest on Community & Adoption (35/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

69
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.

69
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 62 is calibrated to 69 on the published index scale (record calibration 2026-08-02).

Ownership

Luis Perez MoralesPersonal account
12 followers65 public repossince Feb 2020Linfield College and University of Oregon

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIst-rsuite0.12.02,150212 days agostreamlitrsuitedatepickertimepickerdaterangepickercomponents

Metrics by category

Vitality

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

80Excellent · 21% of overall

Development activity

74Good
How it's scored
36/36Push recency — last push 2 days ago
9.7/36Commit cadence — 14/52 weeks with commits
18/18Commit volume — 114 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_year114
human_commit_share0.82
days_since_last_push2
active_weeks_last_year14

Release discipline

90Excellent
How it's scored
27/27Ships releases — 23 releases published
36/36Release recency — latest release 2 days ago
27/27Release cadence — a release every ~7.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count23
latest_release_tagv0.12.0
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases7.5

Community & Adoption

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

35Weak · 17% of overall

Popularity & adoption

8Critical
How it's scored
7.7/60Stars — 4 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars4
watchers0
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 (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR 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_templateno

Ecosystem adoption (downloads)

56Moderate
How it's scored
44.4/80Monthly downloads — 2,150 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesst-rsuite
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,150
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?

55Moderate · 23% of overall

Maintainer resilience (bus factor)

16Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

67Good
How it's scored
0/42Issue resolution — no issues or no data
30/30PR acceptance — 21/21 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/18 approved changesets -- score normalized to 0
Inputs used
merged_prs21
open_issues0
closed_issues0
prs_merged_7d2
prs_decided_7d2
prs_merged_30d4
prs_decided_30d4
issue_closed_ratio—
closed_unmerged_prs0
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

54Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
8/25Owner reach — 12 followers of lperezmo
25/25Track record — 65 public repos, account ~6 yr old
Inputs used
followers12
owner_typeUser
is_verified—
owner_loginlperezmo
public_repos65
account_age_days2,390
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 2 days ago
20/20Version history — 21 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesst-rsuite
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 7 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

Documentation

60Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 9 topics
10/10Wiki
Inputs used
topicsclaude-code, mui-x, opus-4-6, rsuite, rsuitejs, streamlit, streamlit-cloud, streamlit-components, streamlit-components-v2
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

62Moderate · 16% of overall

Security posture

53Moderate
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
2.5/2.5CI-Tests — 7 out of 7 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
0/7.5Code-Review — Found 0/18 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no 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
5/5Packaging — packaging workflow detected
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.3

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages36
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:st-rsuite@0.12.0 runtime dependency closure — what installing the published package pulls in — 36 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.

66Good · 4% of overall

Agent context & guidance

55Moderate
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://docs.streamlit.io/llms.txt)
40/40Legible commit history — 81 of 82 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.streamlit.io/llms.txt
legible_history_share0.988
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

56Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — st_rsuite/frontend/tsconfig.json
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
2/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsst_rsuite/frontend/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (st_rsuite/frontend/tsconfig.json)
55/55Manageable file sizes — 0/104 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes15,102
source_files_sampled104
oversized_source_files0

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
Inputs used
example_dirsexamples
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

4GitHub stars
1contributors
114commits, last 12 months
2days since last push
23releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'st-rsuite' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for st-rsuite carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

OpenSSF Scorecard 5.3 / 10
5.3aggregate

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 · 2026-09-15 21:51 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/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
0Code-ReviewFound 0/18 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous 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
10Packagingpackaging workflow detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIstreamlit>=1.51pyproject.toml
All dependencies 162

Full resolved dependency set from the GitHub dependency graph: 2 direct and 160 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIstreamlit—direct
PyPIstreamlit1.55.0direct
npm@babel/runtime7.29.2indirect
npm@emnapi/core1.11.1indirect
npm@emnapi/runtime1.11.1indirect
npm@emnapi/wasi-threads1.2.2indirect
npm@epic-web/invariant1.0.0indirect
npm@jridgewell/gen-mapping0.3.13indirect
npm@jridgewell/resolve-uri3.1.2indirect
npm@jridgewell/source-map0.3.11indirect
npm@jridgewell/sourcemap-codec1.5.5indirect
npm@jridgewell/trace-mapping0.3.31indirect
npm@juggle/resize-observer3.4.0indirect
npm@napi-rs/wasm-runtime1.1.6indirect
npm@oxc-project/types0.139.0indirect
npm@rolldown/binding-android-arm641.1.5indirect
npm@rolldown/binding-darwin-arm641.1.5indirect
npm@rolldown/binding-darwin-x641.1.5indirect
npm@rolldown/binding-freebsd-x641.1.5indirect
npm@rolldown/binding-linux-arm-gnueabihf1.1.5indirect
npm@rolldown/binding-linux-arm64-gnu1.1.5indirect
npm@rolldown/binding-linux-arm64-musl1.1.5indirect
npm@rolldown/binding-linux-ppc64-gnu1.1.5indirect
npm@rolldown/binding-linux-s390x-gnu1.1.5indirect
npm@rolldown/binding-linux-x64-gnu1.1.5indirect
npm@rolldown/binding-linux-x64-musl1.1.5indirect
npm@rolldown/binding-openharmony-arm641.1.5indirect
npm@rolldown/binding-wasm32-wasi1.1.5indirect
npm@rolldown/binding-win32-arm64-msvc1.1.5indirect
npm@rolldown/binding-win32-x64-msvc1.1.5indirect
npm@rolldown/pluginutils1.0.1indirect
npm@rsuite/icon-font4.1.0indirect
npm@rsuite/icons1.4.0indirect
npm@streamlit/component-v2-lib0.2.0indirect
npm@tybys/wasm-util0.10.3indirect
npm@types/lodash4.17.24indirect
npm@types/node22.19.15indirect
npm@types/prop-types15.7.15indirect
npm@types/react18.3.28indirect
npm@types/react-dom18.3.7indirect
npm@types/react-window1.8.8indirect
npm@vitejs/plugin-react6.0.3indirect
npmacorn8.17.0indirect
npmbuffer-from1.1.2indirect
npmclassnames2.5.1indirect
npmcommander2.20.3indirect
npmcross-env10.1.0indirect
npmcross-spawn7.0.6indirect
npmcsstype3.2.3indirect
npmdate-fns4.1.0indirect
npmdetect-libc2.1.2indirect
npmdom-lib3.3.2indirect
npmfdir6.5.0indirect
npmfsevents2.3.3indirect
npmisexe2.0.0indirect
npmjs-tokens4.0.0indirect
npmlightningcss1.32.0indirect
npmlightningcss-android-arm641.32.0indirect
npmlightningcss-darwin-arm641.32.0indirect
npmlightningcss-darwin-x641.32.0indirect
npmlightningcss-freebsd-x641.32.0indirect
npmlightningcss-linux-arm-gnueabihf1.32.0indirect
npmlightningcss-linux-arm64-gnu1.32.0indirect
npmlightningcss-linux-arm64-musl1.32.0indirect
npmlightningcss-linux-x64-gnu1.32.0indirect
npmlightningcss-linux-x64-musl1.32.0indirect
npmlightningcss-win32-arm64-msvc1.32.0indirect
npmlightningcss-win32-x64-msvc1.32.0indirect
npmlodash4.18.1indirect
npmloose-envify1.4.0indirect
npmmemoize-one5.2.1indirect
npmnanoid3.3.19indirect
npmpath-key3.1.1indirect
npmpicocolors1.1.1indirect
npmpicomatch4.0.5indirect
npmpostcss8.5.23indirect
npmprettier3.8.1indirect
npmreact18.3.1indirect
npmreact-dom18.3.1indirect
npmreact-icons5.6.0indirect
npmreact-textarea-autosize8.5.9indirect
npmreact-use-set1.0.0indirect
npmreact-window1.8.11indirect
npmrolldown1.1.5indirect
npmrsuite6.1.2indirect
npmrsuite-table5.19.2indirect
npmscheduler0.23.2indirect
npmschema-typed2.4.2indirect
npmshebang-command2.0.0indirect
npmshebang-regex3.0.0indirect
npmsource-map0.6.1indirect
npmsource-map-js1.2.1indirect
npmsource-map-support0.5.21indirect
npmterser5.48.0indirect
npmtinyglobby0.2.17indirect
npmtslib2.8.1indirect
npmtypescript5.9.3indirect
npmundici-types6.21.0indirect
npmuse-composed-ref1.4.0indirect
npmuse-isomorphic-layout-effect1.2.1indirect
npmuse-latest1.3.0indirect
npmvite8.1.4indirect
npmvite-plugin-css-injected-by-js4.0.1indirect
npmwhich2.0.2indirect
PyPIaltair6.0.0indirect
PyPIattrs25.4.0indirect
PyPIblinker1.9.0indirect
PyPIbuild1.5.0indirect
PyPIcachetools7.0.5indirect
PyPIcertifi2026.2.25indirect
PyPIcharset-normalizer3.4.6indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIexceptiongroup1.3.1indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.59indirect
PyPIgreenlet3.5.2indirect
PyPIidna3.18indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPImarkupsafe3.0.3indirect
PyPInarwhals2.18.0indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.3indirect
PyPIpackaging26.0indirect
PyPIpandas2.3.3indirect
PyPIpillow12.3.0indirect
PyPIplaywright1.60.0indirect
PyPIpluggy1.6.0indirect
PyPIprotobuf6.33.6indirect
PyPIpyarrow23.0.1indirect
PyPIpydeck0.9.1indirect
PyPIpyee13.0.1indirect
PyPIpygments2.20.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-base-url2.1.0indirect
PyPIpytest-playwright0.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-slugify8.0.4indirect
PyPIpytz2026.1.post1indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.16.0indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.3indirect
PyPIst-rsuite—indirect
PyPIst-rsuite0.11.0indirect
PyPItenacity9.1.4indirect
PyPItext-unidecode1.3indirect
PyPItoml0.10.2indirect
PyPItomli2.4.1indirect
PyPItornado6.5.8indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.3indirect
PyPIurllib32.7.0indirect
PyPIwatchdog6.0.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:st-rsuite@0.12.0 pulls in 36 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.

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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.