Public record
Software health reportschema 0.15.0 · metrics 2.10.0 · 2026-07-20 10:30 UTC

ScienciaLAB / streamlit-pdf-viewer

Streamlit PDF viewer

Python · VueApache-2.0★ 196 stars⑂ 22 forkssince Nov 2023View on GitHub ↗

ScienciaLAB/streamlit-pdf-viewer holds a health index of 67 out of 100, placing it in the Good band. It scores highest on Engineering Quality (84/100) and lowest on AI Readiness (40/100). It was last updated today. A single contributor accounts for most of its recent work.

67
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.

67
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 61 is calibrated to 67 on the published index scale (record calibration 2026-08-02).

Ownership

ScienciaLABOrganization
3 followers11 public repossince Apr 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIstreamlit-pdf-viewerpoints to another repo — not scored0.0.30-530 days ago

Metrics by category

Vitality

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

72Good · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
4.8/36Commit cadence7/52 weeks with commits
11.3/18Commit volume17 commits in the last year
6/10OpenSSF Scorecard: Maintained5 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 6
Inputs used
commits_last_year17
human_commit_share
days_since_last_push0
active_weeks_last_year7
How it's scored
27/27Ships releases27 releases published
36/36Release recencylatest release 86 days ago
19.8/27Release cadencea release every ~53.1 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count27
latest_release_tagv0.0.29
releases_from_tagsno
days_since_latest_release86
mean_days_between_releases53.1
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?

49Weak · 17% of overall
How it's scored
37.1/60Stars196 stars
11/25Forks22 forks
0/15Watchers2 watchers
Inputs used
forks22
stars196
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

55Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
6.1/22.5Commit distributiontop contributor authored 73% 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_share0.728
How it's scored
34.1/42Issue resolution81% of issues closed
24.5/30PR acceptance49/60 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-ReviewFound 6/22 approved changesets -- score normalized to 2
Inputs used
merged_prs49
open_issues12
closed_issues52
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.812
closed_unmerged_prs11
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
4.3/25Owner reach3 followers of ScienciaLAB
12.3/25Track record11 public repos, account ~2 yr old
Inputs used
followers3
owner_typeOrganization
is_verified
owner_loginScienciaLAB
public_repos11
account_age_days815
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter config.eslintrc.js
0/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests11 out of 13 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://structure-vision.streamlit.app/
10/10Repository description
10/10Topics7 topics
0/10Wiki
Inputs used
topicsgrobid, pdf, streamlit, tdm, streamlit-component, hamburger-to-cow, structured-data
has_wikino
homepagehttps://structure-vision.streamlit.app/
docs_sitehttps://structure-vision.streamlit.app/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

43Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
2/2.5CI-Tests11 out of 13 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-ReviewFound 6/22 approved changesets -- score normalized to 2
2.5/2.5Contributorsproject has 6 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
4.5/7.5Maintained5 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 6
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
1.5/5SASTSAST tool is not run on all commits -- score normalized to 3
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.3
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? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

40Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config.eslintrc.js
11/11Static type checkingstreamlit_pdf_viewer/frontend/tsconfig.json
0/10Reproducible environment
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
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_files
has_devcontainerno
has_linter_configyes
typecheck_configsstreamlit_pdf_viewer/frontend/tsconfig.json
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (streamlit_pdf_viewer/frontend/tsconfig.json)
55/55Manageable file sizes0/58 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes12,373
source_files_sampled58
oversized_source_files0

Key facts

196GitHub stars
11contributors
17commits, last 12 months
0days since last push
27releases
1bus factor
12open issues
PyPIpackage ecosystems

Data collection warnings

  • pypi package 'streamlit-pdf-viewer' points at a different repository (https://github.com/lfoppiano/streamlit-pdf-viewer); excluded from ecosystem scoring

More detail

OpenSSF Scorecard 4.3 / 10
4.3aggregate

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 · 2026-07-20 10:30 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
8CI-Tests11 out of 13 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 6/22 approved changesets -- score normalized to 2
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
6Maintained5 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 6
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
3SASTSAST tool is not run on all commits -- score normalized to 3
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 23

Full resolved dependency set from the GitHub dependency graph: 0 direct and 23 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npm@typescript-eslint/eslint-plugin^7.10.0indirect
npm@typescript-eslint/parser^7.10.0indirect
npm@vue/cli-plugin-babel^5.0.8indirect
npm@vue/cli-plugin-typescript^5.0.8indirect
npm@vue/cli-service^5.0.8indirect
npm@vue/compiler-sfc^3.4.27indirect
npm@vue/eslint-config-typescript^13.0.0indirect
npmbabel-eslint^10.1.0indirect
npmcore-js^3.6.5indirect
npmlodash^4.17.21indirect
npmpdfjs-dist4.3.136indirect
npmstreamlit-component-lib^2.0.0indirect
npmtypescript^5.4.5indirect
npmvue^3.0.0-0indirect
npmvue-loader^17.4.2indirect
npmwebpack^5.91.0indirect
PyPIbump-my-version1.3.0indirect
PyPIprotobufindirect
PyPIrequestsindirect
PyPIstreamlitindirect
PyPIstreamlit1.59.1indirect
PyPItornadoindirect
PyPIwheelindirect
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 v0.15.0 — full methodology · metrics wiki.

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