Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-11 10:13 UTC

wegamekinglc / Derivatives-Algorithms-Lib

AAD enabled and scripting included derivatives modeling.

C++MIT★ 27 stars⑂ 7 forkssince Dec 2017View on GitHub ↗

wegamekinglc/Derivatives-Algorithms-Lib holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (81/100) and lowest on Vitality (52/100). It was last updated today. A single contributor accounts for most of its recent work.

75
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.

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

Ownership

Cheng LiPersonal account
241 followers279 public repossince Jun 2012ubiquant

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 publish
PyPIdal-python2026.10.112,428290 days ago

Metrics by category

Vitality

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

52Moderate · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
22.2/36Commit cadence — 32/52 weeks with commits
18/18Commit volume — 1,318 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,318
human_commit_share0.99
days_since_last_push0
active_weeks_last_year32
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0
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?

53Moderate · 17% of overall
How it's scored
23/60Stars — 27 stars
6.5/25Forks — 7 forks
0/15Watchers — 1 watchers
Inputs used
forks7
stars27
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesapp.codacy.com, coveralls.io, github.com
has_pull_request_templateyes
How it's scored
45.1/80Monthly downloads — 2,428 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdal-python
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,428
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?

61Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
40.2/42Issue resolution — 96% of issues closed
29.3/30PR acceptance — 483/494 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs483
open_issues2
closed_issues45
prs_merged_7d60
prs_decided_7d60
prs_merged_30d60
prs_decided_30d60
issue_closed_ratio0.957
closed_unmerged_prs11
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
17.1/25Owner reach — 241 followers of wegamekinglc
25/25Track record — 279 public repos, account ~14 yr old
Inputs used
followers241
owner_typeUser
is_verified—
owner_loginwegamekinglc
public_repos279
account_age_days5,240
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 29 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdal-python
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 workflows — 5 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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 site — https://github.com/wegamekinglc/Derivatives-Algorithms-Lib/tree/master/dal-python
10/10Repository description
10/10Topics — 11 topics
10/10Wiki
Inputs used
topicsfinance, derivatives, mathematics, quantitative-finance, quant, fixed-income, scripting, mathematical-finance, excel, cpp, python
has_wikiyes
homepage—
docs_sitehttps://github.com/wegamekinglc/Derivatives-Algorithms-Lib/tree/master/dal-python
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

77Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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 30 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
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 — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7.1
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 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
advisories17
affected_packages4
assessed_packages53
unassessed_packages1
affected_by_severitycritical 1, high 2, moderate 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 53 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.

77Good · 4% of overall
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 99 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files.github/copilot-instructions.md, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes14,120
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — C++ (statically typed)
0/10Reproducible environment
4/10Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageyes
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0.02
toolchain_manifests—
dependency_bot_commit_share0.01
How it's scored
45/45Type-checkable code — C++ (statically typed)
54.4/55Manageable file sizes — 16/1,392 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes8,280,146
source_files_sampled1,392
oversized_source_files16
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
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

27GitHub stars
1contributors
1,318commits, last 12 months
0days since last push
0releases
1bus factor
2open 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:dal-python@2026.10.11; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 7 ⇿
0Stars
7Forks

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.

1234567712021-042022-122024-09

Each point covers 4 days.

OpenSSF Scorecard 7.1 / 10
7.1aggregate

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 · 2026-10-11 10:12 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
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 54

Full resolved dependency set from the GitHub dependency graph: 0 direct and 54 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalembic1.18.5indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIclick8.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcontourpy1.3.3indirect
PyPIcycler0.12.1indirect
PyPIdal-web-backend0.1.0indirect
PyPIderivatives-algorithms-lib0.1.0indirect
PyPIfastapi0.136.3indirect
PyPIfonttools4.65.0indirect
PyPIgreenlet3.5.3indirect
PyPIh110.16.0indirect
PyPIhttpcore22.9.1indirect
PyPIhttptools0.8.0indirect
PyPIhttpx22.9.1indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIkiwisolver1.5.1indirect
PyPImako1.3.12indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib3.11.1indirect
PyPInumpy2.5.3indirect
PyPIpackaging26.2indirect
PyPIpackaging26.3indirect
PyPIpandas3.0.5indirect
PyPIpillow12.3.0indirect
PyPIpluggy1.6.0indirect
PyPIpybind113.1.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest—indirect
PyPIpytest9.0.3indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpyyaml6.0.3indirect
PyPIquantlib1.43indirect
PyPIquantlib-python1.18indirect
PyPIrateslib2.7.1indirect
PyPIruff0.15.20indirect
PyPIscikit-build-core1.0.3indirect
PyPIsix1.17.0indirect
PyPIsqlalchemy2.0.51indirect
PyPIstarlette1.3.1indirect
PyPItruststore0.10.4indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuvicorn0.48.0indirect
PyPIuvloop0.22.1indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.0indirect
Dependency advisories 4

This repository publishes no package the index resolves, so its own dependency graph was assessed — 53 packages, which also include development and test pins that never ship: 4 carry known advisories, of which 0 are direct. 1 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
anyio4.13.0indirectcritical44.14.2
httpcore22.9.1indirecthigh22.10.0
httpx22.9.1indirecthigh102.12.0
mako1.3.12indirectmoderate11.4.2

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 — PyPI.