Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 00:39 UTC

exordos / gcl_sdk

SDK for Exordos

PythonApache-2.0★ 5 stars⑂ 1 forksince Mar 2025View on GitHub ↗
KindPluginCommand-line toolLibraryhow this is determined

exordos/gcl_sdk holds a health index of 34 out of 100, placing it in the At Risk band. It scores highest on Vitality (95/100) and lowest on Community & Adoption (38/100). It was last updated 2 days ago. 2 contributors account for most of its recent work.

34
overall / 100
At Risk

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.

34
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02). High-Risk Jurisdiction Policy applies a 50% multiplier to weighted overall health and gives it an At Risk ceiling of 34.

Ownership

exordosOrganization
7 followers27 public repossince Feb 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIgcl_sdk3.6.16,483662 days ago

Metrics by category

Vitality

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

95Exceptional · 21% of overall

Development activity

93Exceptional
How it's scored
36/36Push recency — last push 2 days ago
29.1/36Commit cadence — 42/52 weeks with commits
18/18Commit volume — 161 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year161
human_commit_share0.5
days_since_last_push2
active_weeks_last_year42

Release discipline

98Exceptional
How it's scored
27/27Ships releases — 65 releases published
36/36Release recency — latest release 2 days ago
27/27Release cadence — a release every ~5.6 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count65
latest_release_tag3.6.1
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases5.6

Community & Adoption

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

38Weak · 17% of overall

Popularity & adoption

12Critical
How it's scored
9.8/60Stars — 5 stars
0/25Forks — 1 forks
1.7/15Watchers — 3 watchers
Inputs used
forks1
stars5
watchers3
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 (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_badges8
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

64Moderate
How it's scored
50.8/80Monthly downloads — 6,483 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgcl_sdk
dependents—
ecosystemspypi
total_downloads—
monthly_downloads6,483
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?

66Good · 23% of overall

Maintainer resilience (bus factor)

60Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.5/22.5Commit distribution — top contributor authored 36% of commits
10.8/13.5Contributor breadth — 8 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled8
top_contributor_share0.357

Issue & PR responsiveness

66Good
How it's scored
16.8/42Issue resolution — 40% of issues closed
25.4/30PR acceptance — 156/184 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs156
open_issues15
closed_issues10
prs_merged_7d3
prs_decided_7d3
prs_merged_30d13
prs_decided_30d16
issue_closed_ratio0.4
closed_unmerged_prs28
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.

Ownership & stewardship

48Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
6.5/25Owner reach — 7 followers of exordos
11.6/25Track record — 27 public repos, account ~0 yr old
Inputs used
followers7
owner_typeOrganization
is_verifiedno
owner_loginexordos
public_repos27
account_age_days199

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 — 66 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgcl_sdk
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

85Excellent · 19% of overall

Engineering practices

82Excellent
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff]), tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 22 out of 23 merged PRs checked by a CI test -- score normalized to 9
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 site — https://exordos.github.io/gcl_sdk/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://exordos.github.io/gcl_sdk/
docs_sitehttps://exordos.github.io/gcl_sdk/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

39Weak · 16% of overall

Security posture

32At Risk
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
4.5/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.2/2.5CI-Tests — 22 out of 23 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 8 contributing companies or organizations
10/10Dangerous-Workflow — no 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 — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.3
high_risk_jurisdiction_cap34
high_risk_jurisdiction_multiplier50
security_posture_after_multiplier32
security_posture_before_jurisdiction63
High-Risk Jurisdiction Policy applies a 50% multiplier and gives Security posture an At risk ceiling of 34.

Dependency advisories

68Good
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
5.4/25Indirect dependencies free of known advisories — 3 affected: mysql-connector-python 8.4.0 (high 8.8), setuptools 75.9.1 (high 8.8), cryptography 49.0.0 (moderate 5.9)
27.8/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 696 days ago
Inputs used
sourceosv
advisories8
affected_packages3
assessed_packages41
unassessed_packages0
affected_by_severityhigh 2, moderate 1
direct_affected_packages0
Matched the pypi:gcl_sdk@3.6.1 runtime dependency closure — what installing the published package pulls in — 41 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.

48Weak · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 46 of 50 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.92
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

51Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff]), tox.ini
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 50 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
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.5

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.4/55Manageable file sizes — 2/176 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes66,663
source_files_sampled176
oversized_source_files2

Key facts

5GitHub stars
8contributors
161commits, last 12 months
2days since last push
65releases
2bus factor
15open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

OpenSSF Scorecard 6.3 / 10
6.3aggregate

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 · 2026-09-12 00:39 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests22 out of 23 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 10 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
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5Vulnerabilities5 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPIoslo.config>=3.22.2,<10.0.0pyproject.toml
PyPIimportlib-metadata—pyproject.toml
PyPIrestalchemy>=16.0.3,<17.0.0pyproject.toml
PyPIgcl_iam>=1.4.0,<2.0.0pyproject.toml
PyPIgcl_looper>=1.0.1,<2.0.0pyproject.toml
PyPIbjoern>=3.2.2pyproject.toml
PyPIizulu>=0.50.0,<1.0.0pyproject.toml
PyPIrenameat2>=0.4.4,<1.0.0pyproject.toml
PyPIxxhash>=3.5.0,<5.0.0pyproject.toml
PyPIorjson>=3.11.9,<4.0.0pyproject.toml
All dependencies 95

Full resolved dependency set from the GitHub dependency graph: 10 direct and 85 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbjoern3.2.2direct
PyPIgcl-iam1.4.0direct
PyPIgcl-looper1.0.1direct
PyPIimportlib-metadata9.0.1direct
PyPIizulu0.75.0direct
PyPIorjson3.12.0direct
PyPIoslo-config9.8.0direct
PyPIrenameat20.4.4direct
PyPIrestalchemy16.0.3direct
PyPIxxhash4.0.1direct
PyPIast-serialize0.6.0indirect
PyPIbabel2.18.0indirect
PyPIbackrefs7.0indirect
PyPIbazooka1.3.4indirect
PyPIcachetools7.1.4indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.0indirect
PyPIcryptography49.0.0indirect
PyPIdebtcollector3.1.0indirect
PyPIdistlib0.4.3indirect
PyPIdnspython2.8.0indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.29.7indirect
PyPIghp-import2.1.0indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlegacy-cgi2.6.4indirect
PyPIlibrt0.13.0indirect
PyPIlibvirt-python12.6.0indirect
PyPImarkdown3.10.2indirect
PyPImarkupsafe3.0.3indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-glightbox0.5.2indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-static-i18n1.3.0indirect
PyPImock5.2.0indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPImysql-connector-python8.4.0indirect
PyPInetaddr1.3.0indirect
PyPIoslo-i18n6.8.0indirect
PyPIoslo-i18n6.9.0indirect
PyPIpackaging26.2indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.1.1indirect
PyPIpbr5.8.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpsycopg3.3.4indirect
PyPIpsycopg-binary3.3.4indirect
PyPIpsycopg-pool3.3.1indirect
PyPIpycparser3.0indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpyproject-api1.10.1indirect
PyPIpytest9.1.1indirect
PyPIpytest-timer1.0.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.4indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrequests2.34.2indirect
PyPIrfc39862.0.0indirect
PyPIruff0.16.5indirect
PyPIselectolax0.4.10indirect
PyPIsetuptools75.9.1indirect
PyPIshellcheck-py0.11.0.1indirect
PyPIsix1.16.0indirect
PyPIstevedore5.8.0indirect
PyPIstevedore5.9.0indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItox4.61.1indirect
PyPItox-uv1.36.0indirect
PyPItox-uv-bare1.36.0indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIuv0.11.28indirect
PyPIvirtualenv21.6.1indirect
PyPIwatchdog6.0.0indirect
PyPIwebob1.8.10indirect
PyPIwrapt2.2.2indirect
PyPIyretry1.0.2indirect
PyPIzipp4.1.0indirect
Dependency advisories 3

Installing pypi:gcl_sdk@3.6.1 pulls in 41 packages, direct and transitive: 3 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
mysql-connector-python8.4.0indirecthigh29.1.0
setuptools75.9.1indirecthigh483.0.0
cryptography49.0.0indirectmoderate250.0.0

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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with exordos/gcl_sdk. Read them side by side →

100optuna/optunaA hyperparameter optimization frameworkExceptional100onnx/onnxOpen standard for machine learning interoperabilityExceptional100scikit-learn/scikit-learnscikit-learn: machine learning in PythonExceptional100NVIDIA-NeMo/SpeechA scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)Exceptional100zephyrproject-rtos/zephyrPrimary Git Repository for the Zephyr Project. Zephyr is a new generation, scalable, optimized, secure RTOS for multiple hardware architectures.Exceptional100home-assistant/frontend:lollipop: Frontend for Home AssistantExceptional

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.