Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 21:24 UTC

lawaloy / market-helm

A tool that automatically identifies promising stocks, fetches market data, and generates insights. Perfect for traders, analysts, or anyone interested in tracking market trends

Python · TypeScriptMIT★ 1 star⑂ 0 forkssince Jan 2026View on GitHub ↗
KindNetwork serviceCommand-line toolhow this is determined

lawaloy/market-helm holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (94/100) and lowest on Community & Adoption (38/100). 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

Oluwaseyi LawalPersonal account
2 followers52 public repossince Jul 2018

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
PyPImarket-helm0.3.53131517 days agostockstradingmarket-analysisfinnhubstock-screenerprojectionstechnical-analysismarket-helmmarkethelm

Metrics by category

Vitality

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

94Exceptional · 21% of overall

Development activity

90Excellent
How it's scored
36/36Push recency — last push 0 days ago
26.3/36Commit cadence — 38/52 weeks with commits
18/18Commit volume — 852 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year852
human_commit_share0.23
days_since_last_push0
active_weeks_last_year38

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 22 releases published
36/36Release recency — latest release 17 days ago
27/27Release cadence — a release every ~15.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count22
latest_release_tagv0.3.5
releases_from_tagsno
days_since_latest_release17
mean_days_between_releases15.9
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?

38Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 1 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars1
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
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_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

42Weak
How it's scored
33.3/80Monthly downloads — 313 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmarket-helm
dependents—
ecosystemspypi
total_downloads—
monthly_downloads313
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?

52Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.3/22.5Commit distribution — top contributor authored 94% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.942

Issue & PR responsiveness

64Moderate
How it's scored
0/42Issue resolution — no issues or no data
28.7/30PR acceptance — 612/639 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/14 approved changesets -- score normalized to 0
Inputs used
merged_prs612
open_issues0
closed_issues0
prs_merged_7d8
prs_decided_7d8
prs_merged_30d17
prs_decided_30d17
issue_closed_ratio—
closed_unmerged_prs27
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

48Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
3.4/25Owner reach — 2 followers of lawaloy
24.6/25Track record — 52 public repos, account ~8 yr old
Inputs used
followers2
owner_typeUser
is_verified—
owner_loginlawaloy
public_repos52
account_age_days2,995
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 17 days ago
20/20Version history — 15 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmarket-helm
ecosystemspypi
any_deprecatedno
min_days_since_publish17

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

74Good
How it's scored
24/24CI workflows — 16 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 27 out of 27 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/lawaloy/market-helm#readme
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://github.com/lawaloy/market-helm#readme
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

68Good · 16% of overall

Security posture

60Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 27 out of 27 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 0/14 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6
Excluded from scoring (no data or not applicable): 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
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages34
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:market-helm@0.3.5 runtime dependency closure — what installing the published package pulls in — 34 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.

74Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 23 of 23 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes5,266

Verify loop (build / test / typecheck)

62Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — dashboard/frontend/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 62 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 20 of the last 100 commits are automated dependency updates
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configsdashboard/frontend/tsconfig.json
agent_commit_share0.62
toolchain_manifests—
dependency_bot_commit_share0.2

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (dashboard/frontend/tsconfig.json)
54.9/55Manageable file sizes — 1/602 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes77,252
source_files_sampled602
oversized_source_files1

Key facts

1GitHub stars
2contributors
852commits, last 12 months
0days since last push
22releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

OpenSSF Scorecard 6.0 / 10
6.0aggregate

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 · 2026-09-19 21:24 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests27 out of 27 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 0/14 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate 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
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
10SASTSAST tool is run on all commits
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 12
RegistryPackageVersion constraintManifest
PyPIpandas>=2.0.0setup.cfg
PyPIexchange-calendars>=4.13.2setup.cfg
PyPIrequests>=2.31.0setup.cfg
PyPIurllib3>=2.0.0setup.cfg
PyPIpython-dotenv>=1.0.0setup.cfg
PyPIpytickersymbols>=1.0.0setup.cfg
PyPIfastapi>=0.109.0setup.cfg
PyPIuvicorn>=0.27.0setup.cfg
PyPIhttpx>=0.25.0setup.cfg
PyPIpydantic>=2.5.0setup.cfg
PyPIpython-multipart>=0.0.32setup.cfg
PyPIpsycopg>=3.2.0setup.cfg
All dependencies 333

Full resolved dependency set from the GitHub dependency graph: 12 direct and 321 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIexchange-calendars—direct
PyPIfastapi—direct
PyPIhttpx—direct
PyPIpandas—direct
PyPIpsycopg—direct
PyPIpydantic—direct
PyPIpython-dotenv—direct
PyPIpython-multipart—direct
PyPIpytickersymbols—direct
PyPIrequests—direct
PyPIurllib3—direct
PyPIuvicorn—direct
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npmlightningcss-linux-arm64-musl1.32.0indirect
npmlightningcss-linux-arm64-musl1.33.0indirect
npmlightningcss-linux-x64-gnu1.32.0indirect
npmlightningcss-linux-x64-gnu1.33.0indirect
npmlightningcss-linux-x64-musl1.32.0indirect
npmlightningcss-linux-x64-musl1.33.0indirect
npmlightningcss-win32-arm64-msvc1.32.0indirect
npmlightningcss-win32-arm64-msvc1.33.0indirect
npmlightningcss-win32-x64-msvc1.32.0indirect
npmlightningcss-win32-x64-msvc1.33.0indirect
npmlru-cache11.5.2indirect
npmlz-string1.5.0indirect
npmmagic-string0.30.21indirect
npmmagic-string1.2.3indirect
npmmagic-string1.4.1indirect
npmmath-intrinsics1.1.0indirect
npmmdn-data2.27.1indirect
npmmime-db1.52.0indirect
npmmime-types2.1.35indirect
npmms2.1.3indirect
npmnanoid3.3.18indirect
npmnode-releases2.0.54indirect
npmobug2.1.4indirect
npmpako2.2.0indirect
npmparse58.0.1indirect
npmperformance-now2.1.0indirect
npmpicocolors1.1.1indirect
npmpicomatch4.0.7indirect
npmplaywright1.60.0indirect
npmplaywright-core1.60.0indirect
npmpostcss8.5.28indirect
npmpostcss-value-parser4.2.0indirect
npmprettier3.9.7indirect
npmpretty-format27.5.1indirect
npmproxy-from-env2.1.0indirect
npmpunycode2.3.1indirect
npmraf3.4.1indirect
npmreact19.3.0indirect
npmreact-aria3.52.0indirect
npmreact-dom19.3.0indirect
npmreact-is17.0.2indirect
npmreact-is19.2.8indirect
npmreact-redux9.3.0indirect
npmreact-router8.4.0indirect
npmreact-stately3.50.0indirect
npmrecharts3.10.1indirect
npmredux5.0.1indirect
npmredux-thunk3.1.0indirect
npmregenerator-runtime0.13.11indirect
npmrequire-from-string2.0.2indirect
npmreselect5.2.0indirect
npmrgbcolor1.0.1indirect
npmrolldown1.2.7indirect
npmsaxes6.0.0indirect
npmscheduler0.28.0indirect
npmsiginfo2.0.0indirect
npmsource-map-js1.2.1indirect
npmstackback0.0.2indirect
npmstackblur-canvas2.7.0indirect
npmstd-env4.2.0indirect
npmsvg-pathdata6.0.3indirect
npmsymbol-tree3.2.4indirect
npmtabbable6.5.0indirect
npmtailwindcss4.3.3indirect
npmtapable2.3.3indirect
npmtext-segmentation1.0.3indirect
npmtiny-invariant1.3.3indirect
npmtinybench6.1.4indirect
npmtinyexec1.3.0indirect
npmtinyglobby0.2.17indirect
npmtldts7.4.11indirect
npmtldts-core7.4.11indirect
npmtough-cookie6.0.2indirect
npmtr466.0.0indirect
npmtslib2.8.1indirect
npmtypescript7.0.2indirect
npmundici8.10.1indirect
npmundici-types8.9.0indirect
npmupdate-browserslist-db1.3.2indirect
npmuse-sync-external-store1.6.0indirect
npmutrie1.0.2indirect
npmvictory-vendor37.3.6indirect
npmvite8.3.0indirect
npmvitest5.0.1indirect
npmw3c-xmlserializer5.0.0indirect
npmwebidl-conversions8.0.1indirect
npmwhatwg-mimetype5.0.0indirect
npmwhatwg-url16.0.1indirect
npmwhatwg-url17.1.0indirect
npmwhy-is-node-running2.3.0indirect
npmxml-name-validator5.0.0indirect
npmxmlchars2.2.0indirect
PyPIopenai—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpyyaml—indirect
PyPIsetuptools—indirect
Dependency advisories 0

Installing pypi:market-helm@0.3.5 pulls in 34 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

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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 v0.34.0 — full methodology · metrics wiki.

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