Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-22 15:47 UTC

soxoj / socid-extractor

⛏️ The extraction engine behind Maigret: turn any profile URL into a structured OSINT record across 150+ sites

PythonMIT★ 1,067 stars⑂ 118 forkssince Nov 2019View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

soxoj/socid-extractor holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (86/100) and lowest on Sustainability & Governance (69/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

89
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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

SoxojPersonal account
2,163 followers104 public repossince Aug 2017Social Links

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
PyPIsocid-extractor0.1.1111,2342939 days agoosintscrapingusernameprofileextractoridentity

Metrics by category

Vitality

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

78Good · 21% of overall
How it's scored
36/36Push recencylast push 4 days ago
11.1/36Commit cadence16/52 weeks with commits
16.5/18Commit volume68 commits in the last year
10/10OpenSSF Scorecard: Maintained26 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year68
human_commit_share0.78
days_since_last_push4
active_weeks_last_year16
How it's scored
27/27Ships releases28 releases published
36/36Release recencylatest release 39 days ago
12.6/27Release cadencea release every ~207.6 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count28
latest_release_tagv0.1.1
releases_from_tagsno
days_since_latest_release39
mean_days_between_releases207.6
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?

75Good · 17% of overall
How it's scored
49.1/60Stars1,067 stars
17.2/25Forks118 forks
7.7/15Watchers25 watchers
Inputs used
forks118
stars1,067
watchers25
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_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
67.3/80Monthly downloads111,234 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagessocid-extractor
dependents
ecosystemspypi
total_downloads
monthly_downloads111,234
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?

69Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
2.5/22.5Commit distributiontop contributor authored 89% of commits
12.2/13.5Contributor breadth9 contributors
10/10OpenSSF Scorecard: Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled9
top_contributor_share0.89
How it's scored
39.9/42Issue resolution95% of issues closed
24.1/30PR acceptance184/229 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
6/15OpenSSF Scorecard: Code-ReviewFound 13/27 approved changesets -- score normalized to 4
Inputs used
merged_prs184
open_issues2
closed_issues38
prs_merged_7d1
prs_decided_7d1
prs_merged_30d8
prs_decided_30d8
issue_closed_ratio0.95
closed_unmerged_prs45
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 backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
24/25Owner reach2,163 followers of soxoj
25/25Track record104 public repos, account ~9 yr old
Inputs used
followers2,163
owner_typeUser
is_verified
owner_loginsoxoj
public_repos104
account_age_days3,294
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 39 days ago
20/20Version history29 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagessocid-extractor
ecosystemspypi
any_deprecatedno
min_days_since_publish39

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.flake8], [tool.black])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests30 out of 30 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://socid-extractor.readthedocs.io
10/10Repository description
10/10Topics10 topics
0/10Wiki
Inputs used
topicssocmint, osint, scraping, data-extraction, html-parsing, osint-framework, osint-python, osint-tool, account-extraction, socid
has_wikino
homepagehttps://socid-extractor.readthedocs.io
docs_sitehttps://socid-extractor.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

70Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests30 out of 30 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
3/7.5Code-ReviewFound 13/27 approved changesets -- score normalized to 4
2.5/2.5Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
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
7.5/7.5Maintained26 commit(s) and 3 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
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_aggregate6.2
Excluded from scoring (no data or not applicable): Branch-Protection, 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_packages10
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:socid-extractor@0.1.1 runtime dependency closure — what installing the published package pulls in — 10 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.

70Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history73 of 78 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.936
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.flake8], [tool.black])
11/11Static type checkingsocid_extractor/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice12 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance22 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_configssocid_extractor/py.typed
agent_commit_share0.12
toolchain_manifests
dependency_bot_commit_share0.22
How it's scored
27/45Type-checkable codePython with type-check config (socid_extractor/py.typed)
47.1/55Manageable file sizes3/21 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes183,410
source_files_sampled21
oversized_source_files3
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 examplesexamples
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

1,067GitHub stars
9contributors
68commits, last 12 months
4days since last push
28releases
1bus factor
2open 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 ★ / 118 ⇿
0Stars
118Forks
28Releases

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.

02040608010012011752020-012023-042026-08
Major 0Minor 1Patch 27

Each point covers 6 days.

OpenSSF Scorecard 6.2 / 10
6.2aggregate

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 · 2026-08-22 15:47 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
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 13/27 approved changesets -- score normalized to 4
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained26 commit(s) and 3 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
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIrequests>=2.32.4,<3.0pyproject.toml
PyPIpython-dateutil>=2.8.1,<3.0pyproject.toml
PyPIbeautifulsoup4>=4.14.3,<5.0pyproject.toml
All dependencies 14

Full resolved dependency set from the GitHub dependency graph: 3 direct and 11 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbeautifulsoup4direct
PyPIpython-dateutildirect
PyPIrequestsdirect
PyPIblackindirect
PyPIflake8indirect
PyPImypyindirect
PyPIopenaiindirect
PyPIpytestindirect
PyPIpytest-rerunfailuresindirect
PyPIpytest-xdistindirect
PyPIsetuptoolsindirect
PyPIsphinx-copybuttonindirect
PyPIsphinx-intlindirect
PyPIsphinx-rtd-themeindirect
Dependency advisories 0

Installing pypi:socid-extractor@0.1.1 pulls in 10 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 v0.34.0 — full methodology · metrics wiki.

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