Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 03:23 UTC

eyeonus / Trade-Dangerous

PythonMPL-2.0★ 126 stars⑂ 47 forkssince Jun 2018View on GitHub ↗
KindCommand-line toolLibraryDesktop applicationhow this is determined

eyeonus/Trade-Dangerous holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Vitality (91/100) and lowest on Community & Adoption (51/100). It was last updated today. A single contributor accounts for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

Jonathan JonesPersonal account
7 followers11 public repossince May 2012

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
PyPItradedangerous13.2.01,5892114 days agotradeeliteelite-dangerous

Metrics by category

Vitality

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

91Excellent · 21% of overall

Development activity

92Excellent
How it's scored
36/36Push recency — last push 0 days ago
28.4/36Commit cadence — 41/52 weeks with commits
18/18Commit volume — 473 commits in the last year
10/10OpenSSF Scorecard: Maintained — 16 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year473
human_commit_share0.75
days_since_last_push0
active_weeks_last_year41

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~17 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv13.2.0
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases17

Community & Adoption

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

51Moderate · 17% of overall

Popularity & adoption

51Moderate
How it's scored
34/60Stars — 126 stars
13.9/25Forks — 47 forks
3.3/15Watchers — 5 watchers
Inputs used
forks47
stars126
watchers5
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 (MPL-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_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

53Moderate
How it's scored
42.7/80Monthly downloads — 1,589 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagestradedangerous
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,589
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?

63Moderate · 23% of overall

Maintainer resilience (bus factor)

42Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10/22.5Commit distribution — top contributor authored 56% of commits
13.5/13.5Contributor breadth — 37 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled37
top_contributor_share0.556

Issue & PR responsiveness

75Good
How it's scored
41.5/42Issue resolution — 99% of issues closed
23.5/30PR acceptance — 120/153 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/13 approved changesets -- score normalized to 0
Inputs used
merged_prs120
open_issues2
closed_issues153
prs_merged_7d1
prs_decided_7d1
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.987
closed_unmerged_prs33
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

46Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
6.5/25Owner reach — 7 followers of eyeonus
19.9/25Track record — 11 public repos, account ~14 yr old
Inputs used
followers7
owner_typeUser
is_verified—
owner_logineyeonus
public_repos11
account_age_days5,242
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 4 days ago
20/20Version history — 211 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagestradedangerous
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall

Engineering practices

70Good
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — .ruff.toml, tox.ini
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 20 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/eyeonus/Trade-Dangerous/wiki
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://github.com/eyeonus/Trade-Dangerous/wiki
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

61Moderate · 16% of overall

Security posture

51Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — 0 out of 20 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/13 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 6 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 — 16 commit(s) and 2 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
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.1

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_packages66
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:tradedangerous@13.2.0 runtime dependency closure — what installing the published package pulls in — 66 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.

69Good · 4% of overall

Agent context & guidance

34At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
34.1/40Legible commit history — 48 of 75 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.64
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

80Excellent
How it's scored
18/18One-command bootstrap — archive/docs/sphinx/Makefile
22/22Automated tests
11/11Lint / format config — .ruff.toml, tox.ini
11/11Static type checking — py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 25 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_dockerfileno
typed_languageno
bootstrap_filesarchive/docs/sphinx/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configspy.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.25

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (py.typed)
52.7/55Manageable file sizes — 7/165 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes129,153
source_files_sampled165
oversized_source_files7

Machine-readable interfaces

100Exceptional
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 — notebooks
Inputs used
example_dirsnotebooks
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

126GitHub stars
37contributors
473commits, last 12 months
0days since last push
100releases
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 ★ / 47 ⇿
0Stars
47Forks
99Releases

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.

010203040504522018-112022-092026-07
Major 1Minor 23Patch 74

Each point covers 8 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-09-19 03:22 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 20 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/13 approved changesets -- score normalized to 0
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained16 commit(s) and 2 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.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
5Vulnerabilities5 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPIijson>=3.1pyproject.toml
PyPIimportlib-metadata>=1pyproject.toml
PyPInicegui>=3.12.0,<3.13pyproject.toml
PyPIpywebview—pyproject.toml
PyPIpythonnet>=3.1.0pyproject.toml
PyPIorjson>=3.11.5pyproject.toml
PyPIrequests—pyproject.toml
PyPIrich==13.7.1pyproject.toml
PyPIscipy>=1.11pyproject.toml
PyPIsqlalchemy>=2.0,<3.0pyproject.toml
All dependencies 151

Full resolved dependency set from the GitHub dependency graph: 10 direct and 141 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIijson3.5.0direct
PyPIimportlib-metadata9.0.0direct
PyPInicegui3.12.1direct
PyPIorjson3.11.9direct
PyPIpythonnet3.1.0direct
PyPIpywebview6.2.1direct
PyPIrequests2.34.2direct
PyPIrich13.7.1direct
PyPIscipy1.17.1direct
PyPIsqlalchemy2.0.50direct
PyPIaiofiles25.1.0indirect
PyPIaiohappyeyeballs2.6.2indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIastroid4.0.4indirect
PyPIasttokens3.0.1indirect
PyPIattrs26.1.0indirect
PyPIbidict0.23.1indirect
PyPIbottle0.13.4indirect
PyPIbuild1.5.0indirect
PyPIcachetools7.1.4indirect
PyPIcertifi2026.5.20indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.1indirect
PyPIclick-option-group0.5.9indirect
PyPIclr-loader0.3.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.14.1indirect
PyPIcryptography50.0.0indirect
PyPIdecorator5.3.1indirect
PyPIdeprecated1.3.1indirect
PyPIdill0.4.1indirect
PyPIdistlib0.4.1indirect
PyPIdocutils0.23indirect
PyPIdotty-dict1.3.1indirect
PyPIexecuting2.2.1indirect
PyPIfastapi0.136.3indirect
PyPIfilelock3.29.1indirect
PyPIflake87.3.0indirect
PyPIfrozenlist1.8.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.59indirect
PyPIgreenlet3.5.1indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.8.0indirect
PyPIhttpx0.28.1indirect
PyPIid1.6.1indirect
PyPIidna3.18indirect
PyPIifaddr0.2.0indirect
PyPIimportlib-resources6.5.2indirect
PyPIiniconfig2.3.0indirect
PyPIipython9.14.1indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIisort8.0.1indirect
PyPIitsdangerous2.2.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.5.0indirect
PyPIjedi0.20.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIkeyring25.7.0indirect
PyPIlxml6.1.1indirect
PyPIlxml-html-clean0.4.5indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkdown22.5.5indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImccabe0.7.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPImultidict6.7.1indirect
PyPInh30.3.5indirect
PyPInumpy2.4.6indirect
PyPIpackaging26.2indirect
PyPIparso0.8.7indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.5.2indirect
PyPIproxy-tools0.1.0indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpylint4.0.5indirect
PyPIpyobjc-core12.2indirect
PyPIpyobjc-framework-cocoa12.2indirect
PyPIpyobjc-framework-quartz12.2indirect
PyPIpyobjc-framework-security12.2indirect
PyPIpyobjc-framework-uniformtypeidentifiers12.2indirect
PyPIpyobjc-framework-webkit12.2indirect
PyPIpyproject-api1.10.1indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.0.3indirect
PyPIpython-discovery1.4.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-engineio4.13.2indirect
PyPIpython-gitlab4.13.0indirect
PyPIpython-multipart0.0.32indirect
PyPIpython-semantic-release9.21.0indirect
PyPIpython-socketio5.16.2indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIqtpy2.4.3indirect
PyPIreadme-renderer44.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIruff0.15.16indirect
PyPIsecretstorage3.5.0indirect
PyPIshellingham1.5.4indirect
PyPIsimple-websocket1.1.0indirect
PyPIsmmap5.0.3indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.3.1indirect
PyPItinycss21.5.1indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.15.0indirect
PyPItox4.55.1indirect
PyPItox-gh-actions3.5.0indirect
PyPItox-uv1.35.2indirect
PyPItox-uv-bare1.35.2indirect
PyPItraitlets5.15.1indirect
PyPItwine6.2.0indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIuv0.11.19indirect
PyPIuvicorn0.49.0indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv21.4.2indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsockets16.0indirect
PyPIwheel0.47.0indirect
PyPIwrapt2.2.1indirect
PyPIwsproto1.3.2indirect
PyPIyarl1.24.2indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:tradedangerous@13.2.0 pulls in 66 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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with eyeonus/Trade-Dangerous. Read them side by side →

96ccxt/ccxtA unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / RustExceptional93OpenByteInc/QuantDingerAI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-tradingExceptional81jesse-ai/jesseAn advanced crypto trading bot written in PythonExcellent77marketcalls/openalgo-python-libraryOpenAlgo Python API WrapperGood71benbenbang/libitofinHigh-performance quantitative finance library in Rust: pricing, risk, and numerical tools built for speed and safety.Good56tigerfintech/openapi-python-sdkPython SDK for Tiger Open APIModerate

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.