Public record
Software health reportschema 0.26.0 · metrics 2.10.0 · 2026-07-22 20:10 UTC

xLydianSoftware / Qubx

Framework for quantitative strategies development, backtesting and live execution.

Jupyter Notebook · PythonGPL-3.0★ 68 stars⑂ 17 forkssince Jan 2025View on GitHub ↗
KindLibraryNetwork serviceCommand-line toolTerminal interfacehow this is determined

xLydianSoftware/Qubx holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (95/100) and lowest on Security (41/100). It was last updated today. A single contributor accounts for most of its recent work.

78
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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

xLydianSoftwareOrganization
8 followers5 public repossince May 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIQubx1.13.1-2920 days ago

Metrics by category

Vitality

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

95Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
35.3/36Commit cadence51/52 weeks with commits
18/18Commit volume1,194 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,194
human_commit_share1
days_since_last_push0
active_weeks_last_year51
How it's scored
27/27Ships releases49 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~1.5 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count49
latest_release_tagv1.13.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1.5

Community & Adoption

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

46Weak · 17% of overall
How it's scored
29.6/60Stars68 stars
10/25Forks17 forks
2.7/15Watchers4 watchers
Inputs used
forks17
stars68
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (GPL-3.0)
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?

64Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
10.8/22.5Commit distributiontop contributor authored 52% of commits
8.1/13.5Contributor breadth6 contributors
10/10OpenSSF Scorecard: Contributorsproject has 5 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.521
How it's scored
26.8/42Issue resolution64% of issues closed
28.2/30PR acceptance222/236 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
7.5/15OpenSSF Scorecard: Code-ReviewFound 7/14 approved changesets -- score normalized to 5
Inputs used
merged_prs222
open_issues37
closed_issues65
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.637
closed_unmerged_prs14
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
6.9/25Owner reach8 followers of xLydianSoftware
10.1/25Track record5 public repos, account ~2 yr old
Inputs used
followers8
owner_typeOrganization
is_verified
owner_loginxLydianSoftware
public_repos5
account_age_days810
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 0 days ago
20/20Version history292 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesQubx
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

81Excellent · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests14 out of 14 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://xlydiansoftware.github.io/Qubx/
10/10Repository description
10/10Topics7 topics
10/10Wiki
Inputs used
topicsquantitative-finance, trading, backtester, backtesting, quantitative-analysis, python, strategy
has_wikiyes
homepagehttps://xlydiansoftware.github.io/Qubx/
docs_sitehttps://xlydiansoftware.github.io/Qubx/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

41Weak · 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-Tests14 out of 14 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
3.8/7.5Code-ReviewFound 7/14 approved changesets -- score normalized to 5
2.5/2.5Contributorsproject has 5 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
7.5/7.5Maintained30 commit(s) and 0 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-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities137 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.2
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.
How it's scored
3.8/35Direct dependencies free of known advisories7 affected: aiohttp 3.10.11 (critical 9.1), gitpython 3.1.46 (critical 9.8), click 8.3.1 (high 7.2), +4 more
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
24.2/40No advisories left outstanding4 advisory-carrying package(s) unaddressed past 90 days; oldest published 503 days ago
Inputs used
sourceosv
advisories260
affected_packages29
assessed_packages270
unassessed_packages1
affected_by_severitycritical 5, high 5, moderate 6, unknown 13
direct_affected_packages7
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 270 resolved dependencies against OSV. 1 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

72Good · 4% of overall
How it's scored
45/45Agent instructionsCLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history96 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.96
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes4,859
How it's scored
18/18One-command bootstrapjustfile
22/22Automated tests
0/11Lint / format config
11/11Static type checkingpyrightconfig.json
10/10Reproducible environmentDockerfile, lockfile
10/10Demonstrated agent practice8 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configno
typecheck_configspyrightconfig.json
agent_commit_share0.08
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codeJupyter Notebook with type-check config (pyrightconfig.json)
53.8/55Manageable file sizes10/475 source files over 60KB
Inputs used
primary_languageJupyter Notebook
largest_source_bytes120,136
source_files_sampled475
oversized_source_files10
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examplesexamples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

68GitHub stars
6contributors
1,194commits, last 12 months
0days since last push
49releases
1bus factor
37open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:Qubx@1.13.1; advisories assessed against the repository dependency graph instead
  • Advisory severity resolved for 120 of 258 advisories (lookup cap); the remainder are reported as unknown severity

More detail

Star and fork history 0 ★ / 17 ⇿
0Stars
17Forks
37Releases

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.

0481216201762025-032025-112026-07
Major 0Minor 10Patch 27

Each point covers 2 days.

OpenSSF Scorecard 4.2 / 10
4.2aggregate

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 · 2026-07-22 20:09 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-Tests14 out of 14 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 7/14 approved changesets -- score normalized to 5
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities137 existing vulnerabilities detected
Direct dependencies 46
RegistryPackageVersion constraintManifest
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All dependencies 271

Full resolved dependency set from the GitHub dependency graph: 46 direct and 225 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIrequests-toolbelt1.0.0indirect
PyPIretrying1.4.2indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc39862.0.0indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.14.14indirect
PyPIrust-just1.46.0indirect
PyPIsecretstorage3.5.0indirect
PyPIsend2trash2.1.0indirect
PyPIsentinels1.1.1indirect
PyPIsetuptools80.10.1indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.2indirect
PyPIsoupsieve2.8.3indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.0.0indirect
PyPIsyrupy4.8.0indirect
PyPItenacity9.1.2indirect
PyPIterminado0.18.1indirect
PyPItinycss21.4.0indirect
PyPItornado6.5.4indirect
PyPItraitlets5.14.3indirect
PyPItree-sitter0.25.2indirect
PyPItree-sitter-bash0.25.1indirect
PyPItree-sitter-css0.25.0indirect
PyPItree-sitter-go0.25.0indirect
PyPItree-sitter-html0.23.2indirect
PyPItree-sitter-java0.23.5indirect
PyPItree-sitter-javascript0.25.0indirect
PyPItree-sitter-json0.24.8indirect
PyPItree-sitter-markdown0.5.1indirect
PyPItree-sitter-python0.25.0indirect
PyPItree-sitter-regex0.25.0indirect
PyPItree-sitter-rust0.23.2indirect
PyPItree-sitter-sql0.3.7indirect
PyPItree-sitter-toml0.7.0indirect
PyPItree-sitter-xml0.7.0indirect
PyPItree-sitter-yaml0.7.2indirect
PyPItwine5.1.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPItzlocal5.3.1indirect
PyPIuc-micro-py1.0.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.0.7indirect
PyPIverspec0.1.0indirect
PyPIvirtualenv20.36.1indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.3.1indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwerkzeug3.0.6indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwin32-setctime1.2.0indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 29

This repository publishes no package the index resolves, so its own dependency graph was assessed — 270 packages, which also include development and test pins that never ship: 29 carry known advisories, of which 7 are direct. 1 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.10.11directcritical603.14.1
gitpython3.1.46directcritical123.1.52
cryptography46.0.3indirectcritical748.0.1
jupyterlab4.5.2indirectcritical77.5.6
notebook7.5.2indirectcritical47.5.6
click8.3.1directhigh18.3.3
orjson3.11.5directhigh13.11.6
jupyter-server2.17.0indirecthigh132.20.0
markdown3.7indirecthigh23.8.1
mistune3.2.0indirecthigh323.3.0
jinja23.1.5directmoderate23.1.6
pydantic-settings2.13.1directmoderate12.14.2
python-dotenv1.2.1directmoderate21.2.2
bleach6.3.0indirectmoderate36.4.0
flask3.0.3indirectmoderate23.1.3
idna3.11indirectmoderate23.15
nbconvert7.16.6indirectunknown6
pillow12.1.0indirectunknown34
pygments2.19.2indirectunknown2
pyjwt2.10.1indirectunknown13
pymdown-extensions10.14.3indirectunknown4
pytest8.4.2indirectunknown2
requests2.32.5indirectunknown2
setuptools80.10.1indirectunknown2
soupsieve2.8.3indirectunknown4
starlette1.0.0indirectunknown10
tornado6.5.4indirectunknown12
urllib32.0.7indirectunknown12
werkzeug3.0.6indirectunknown6

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

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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 v0.26.0 — full methodology · metrics wiki.

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