Public record
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-27 16:56 UTC

mainsail-crew / spyglass

A simple mjpeg server for Picamera2

PythonGPL-3.0★ 104 stars⑂ 24 forkssince Jan 2023View on GitHub ↗

mainsail-crew/spyglass holds a health index of 65 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (85/100) and lowest on Security (43/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

65
overall / 100
Moderate

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

65
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.

Ownership

Mainsail-CrewOrganization
343 followers21 public repossince Oct 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIspyglasspoints to another repo — not scored0.0.1-0

Metrics by category

Vitality

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

75Good · 22% of overall
How it's scored
36/36Push recency — last push 4 days ago
8.3/36Commit cadence — 12/52 weeks with commits
15.4/18Commit volume — 51 commits in the last year
10/10OpenSSF Scorecard: Maintained — 21 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year51
human_commit_share0.64
days_since_last_push4
active_weeks_last_year12
How it's scored
27/27Ships releases — 21 releases published
36/36Release recency — latest release 14 days ago
19.8/27Release cadence — a release every ~77.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count21
latest_release_tagv0.19.0
releases_from_tagsno
days_since_latest_release14
mean_days_between_releases77.5

Community & Adoption

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

58Moderate · 18% of overall
How it's scored
32.7/60Stars — 104 stars
11.3/25Forks — 24 forks
4.3/15Watchers — 7 watchers
Inputs used
forks24
stars104
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-3.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingyes
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sustainability & Governance

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

61Moderate · 24% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
9.5/22.5Commit distribution — top contributor authored 58% of commits
13.5/13.5Contributor breadth — 10 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled10
top_contributor_share0.58
How it's scored
39.2/46.8Issue resolution — 84% of issues closed
32/38.3PR acceptance — 107/128 decided PRs merged
12/15OpenSSF Scorecard: Code-Review — Found 26/30 approved changesets -- score normalized to 8
Inputs used
merged_prs107
open_issues5
closed_issues26
issue_closed_ratio0.839
closed_unmerged_prs21
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
18.2/25Owner reach — 343 followers of mainsail-crew
21.3/25Track record — 21 public repos, account ~5 yr old
Inputs used
followers343
owner_typeOrganization
is_verified
owner_loginmainsail-crew
public_repos21
account_age_days2,106

Engineering Quality

Are baseline engineering and documentation practices in place?

85Excellent · 20% of overall
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 25 out of 26 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

65Moderate
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics
has_wikino
homepage
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

43At risk · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 25 out of 26 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 26/30 approved changesets -- score normalized to 8
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
0/10Dangerous-Workflow — 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 — 21 commit(s) and 0 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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities — 2 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): branch_protection, packaging. Remaining weights renormalized.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

53Moderate · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 64 of 64 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share1
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
0/10Reproducible environment
4/10Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 19 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
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.02
toolchain_manifests
dependency_bot_commit_share0.19
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/23 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes13,538
source_files_sampled23
oversized_source_files0

Key facts

104GitHub stars
10contributors
51commits, last 12 months
4days since last push
21releases
1bus factor
5open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'spyglass' points at a different repository (http://github.com/Pringley/spyglass); excluded from ecosystem scoring
  • deps.dev does not index pypi:spyglass@0.0.1; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

More detail

Star and fork history 0 ★ / 24 ⇿
0Stars
24Forks
20Releases

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.

048121620242422023-012024-092026-05
Major 0Minor 9Patch 11

Each point covers 4 days.

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 · 2026-07-27 16:55 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
9CI-Tests25 out of 26 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 26/30 approved changesets -- score normalized to 8
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained21 commit(s) and 0 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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIaiortc~=1.14.0pyproject.toml
All dependencies 7

Full resolved dependency set from the GitHub dependency graph: 1 direct and 6 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiortcdirect
PyPIcommitizenindirect
PyPImockindirect
PyPIpre-commitindirect
PyPIpylintindirect
PyPIpytestindirect
PyPIpytest-mockindirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

Raw JSON report machine-readable
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                "key": "issue_template",
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                "key": "pr_template",
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      {
        "key": "governance",
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                "key": "issue_resolution",
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                "key": "pr_acceptance",
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            "key": "stewardship",
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                "key": "owner_reach",
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              {
                "key": "track_record",
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        "name": "Engineering Quality",
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                "key": "ci_workflows",
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              },
              {
                "key": "linter_config",
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                "key": "pre_commit_hooks",
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              {
                "key": "editorconfig",
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              {
                "key": "openssf_scorecard_ci_tests",
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            "key": "documentation",
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                "key": "documentation_directory",
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                "key": "documentation_homepage_site",
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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        "key": "security",
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            "key": "security_posture",
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                "code": "excluded_no_data",
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                "key": "branch_protection",
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                "points": 0,
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                "key": "code_review",
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                "detail": "dangerous workflow patterns detected",
                "points": 0,
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                "details": [],
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                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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                "points": 7.5,
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "points": 0,
                "status": "missed",
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              {
                "key": "license",
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                "details": [],
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                "key": "maintained",
                "name": "Maintained",
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                "key": "pinned_dependencies",
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                "key": "sast",
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                "key": "security_policy",
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                "key": "signed_releases",
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                "key": "token_permissions",
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              },
              {
                "key": "vulnerabilities",
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          },
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            "notes": [
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                "code": "jurisdiction_evidence_limits",
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        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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                "max_points": 40
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                "key": "automated_maintenance",
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              },
              {
                "key": "manageable_file_sizes",
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                "detail": "0/23 source files over 60KB",
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  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "pypi package 'spyglass' points at a different repository (http://github.com/Pringley/spyglass); excluded from ecosystem scoring",
    "deps.dev does not index pypi:spyglass@0.0.1; advisories assessed against the repository dependency graph instead",
    "No resolved dependencies carried a version and a supported ecosystem"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-27T16:56:05.311678Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/mainsail-crew/spyglass.svg",
  "full_name": "mainsail-crew/spyglass",
  "license_state": "standard",
  "license_spdx": "GPL-3.0"
}

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 v1.13.0, schema v0.27.0 — full methodology · metrics wiki.

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