Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 05:09 UTC

infinition / Bjorn

Bjorn is a powerful network scanning and offensive security tool for the Raspberry Pi with a 2.13-inch e-Paper HAT. It discovers network targets, identifies open ports, exposed services, and potential vulnerabilities. Bjorn can perform brute force attacks, file stealing, host zombification, and supports custom attack scripts.

PythonMIT★ 6,283 stars⑂ 366 forkssince Jun 2024View on GitHub ↗

infinition/Bjorn holds a health index of 48 out of 100, placing it in the Weak band. It scores highest on Community & Adoption (89/100) and lowest on AI Readiness (25/100). It was last updated 57 days ago. A single contributor accounts for most of its recent work.

48
overall / 100
Weak

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.

48
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 49 is calibrated to 48 on the published index scale (record calibration 2026-08-02).

Ownership

Fabien POLLYPersonal account
463 followers102 public repossince Apr 2018

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

Metrics by category

Vitality

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

40Weak · 21% of overall
How it's scored
18/36Push recency — last push 57 days ago
0.7/36Commit cadence — 1/52 weeks with commits
6.3/18Commit volume — 4 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year4
human_commit_share1
days_since_last_push57
active_weeks_last_year1
How it's scored
27/27Ships releases — 1 releases published
16.2/36Release recency — latest release 287 days ago
12.6/27Release cadence — cadence unknown (single release)
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count1
latest_release_tagv1.0.0
releases_from_tagsno
days_since_latest_release287
mean_days_between_releases—
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?

89Excellent · 17% of overall
How it's scored
60/60Stars — 6,283 stars
21.4/25Forks — 366 forks
12/15Watchers — 148 watchers
Inputs used
forks366
stars6,283
watchers148
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 (MIT)
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_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

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

44Weak · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.9/22.5Commit distribution — top contributor authored 65% of commits
9.5/13.5Contributor breadth — 7 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled7
top_contributor_share0.648
How it's scored
18.8/42Issue resolution — 45% of issues closed
8.9/30PR acceptance — 16/54 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
6/15OpenSSF Scorecard: Code-Review — Found 3/7 approved changesets -- score normalized to 4
Inputs used
merged_prs16
open_issues37
closed_issues30
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.448
closed_unmerged_prs38
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
19.2/25Owner reach — 463 followers of infinition
25/25Track record — 102 public repos, account ~8 yr old
Inputs used
followers463
owner_typeUser
is_verified—
owner_logininfinition
public_repos102
account_age_days3,089
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

36Weak · 19% of overall
How it's scored
0/24CI workflows
0/24Tests present
16/16Linter config — .pylintrc
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 7 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_cino
has_testsno
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://infinition.github.io/Bjorn/
10/10Repository description
10/10Topics — 16 topics
0/10Wiki
Inputs used
topicsautomated-pentesting, bruteforce, cybersecurity, e-paper, hacking, hardware-hacking, network-scanning, network-security, nmap, offensive-security, pentesting, python, raspberry-pi, security-tools, tamagotchi, vulnerability-assessment
has_wikino
homepagehttps://infinition.github.io/Bjorn/
docs_sitehttps://infinition.github.io/Bjorn/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

50Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — 0 out of 7 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5Code-Review — Found 3/7 approved changesets -- score normalized to 4
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
0/10Dangerous-Workflow — no data
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — no data
0/7.5Vulnerabilities — 20 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated14
scorecard_versionv5.5.0
checks_inconclusive4
scorecard_aggregate3.8
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Signed-Releases, Token-Permissions. 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
advisories39
affected_packages2
assessed_packages15
unassessed_packages0
affected_by_severitycritical 1, low 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 15 resolved dependencies against OSV. 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.

25At Risk · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
23/40Legible commit history — 38 of 88 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.432
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
0/22Automated tests
11/11Lint / format config — .pylintrc
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 88
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsno
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/43 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes37,473
source_files_sampled43
oversized_source_files0

Key facts

6,283GitHub stars
7contributors
4commits, last 12 months
57days since last push
1releases
1bus factor
37open 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 ★ / 366 ⇿
0Stars
366Forks
1Releases

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.

0125250375364292024-062025-072026-09
Major 1Minor 0Patch 0

Each point covers 3 days.

OpenSSF Scorecard 3.8 / 10
3.8aggregate

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 · 2026-09-16 05:08 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests0 out of 7 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 3/7 approved changesets -- score normalized to 4
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
0Vulnerabilities20 existing vulnerabilities detected
All dependencies 15

Full resolved dependency set from the GitHub dependency graph: 0 direct and 15 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIget-mac0.9.2indirect
PyPInetifaces0.11.0indirect
PyPInumpy2.1.3indirect
PyPIpandas2.2.3indirect
PyPIparamiko3.5.0indirect
PyPIpillow9.4.0indirect
PyPIping34.0.8indirect
PyPIpymysql1.1.1indirect
PyPIpysmb1.2.10indirect
PyPIpython-nmap0.7.1indirect
PyPIrich13.9.4indirect
PyPIrpi-gpio0.7.1indirect
PyPIsmbprotocol1.14.0indirect
PyPIspidev3.5indirect
PyPIsqlalchemy2.0.36indirect
Dependency advisories 2

This repository publishes no package the index resolves, so its own dependency graph was assessed — 15 packages, which also include development and test pins that never ship: 2 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow9.4.0indirectcritical3727.0.0-beta.2
paramiko3.5.0indirectlow2—

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 v0.34.0 — full methodology · metrics wiki.

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