Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-07 06:35 UTC

artheras / aria-code

Terminal-first AI financial agent — runs fully offline via Ollama, 19+ cloud LLM providers, live market data, and a built-in quant research engine.

PythonApache-2.0★ 5 stars⑂ 1 forksince Jun 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

artheras/aria-code holds a health index of 62 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (82/100) and lowest on Security (30/100). It was last updated today. A single contributor accounts for most of its recent work.

62
overall / 100
Moderate

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.

62
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 58 is calibrated to 62 on the published index scale (record calibration 2026-08-02).

Ownership

ArtheraOrganization
4 followers3 public repossince Jun 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIaria-codepoints to another repo — not scored4.4.23,1945840 days agoaillmcoding-agentcode-reviewproduct-reviewterminalclifinance
npm@artheras/aria-code0.99.03,714510 days agoaillmfinancetradingterminalclistocksquantitativeollamainvestmentquantlogistics3plstablecoin

Metrics by category

Vitality

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

81Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
8.3/36Commit cadence — 12/52 weeks with commits
18/18Commit volume — 685 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year685
human_commit_share0.79
days_since_last_push0
active_weeks_last_year12

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 52 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count52
latest_release_tagv0.99.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.1

Community & Adoption

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

46Weak · 17% of overall
How it's scored
9.8/60Stars — 5 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars5
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes
How it's scored
47.6/80Monthly downloads — 3,714 downloads/month across npm
0/20Registry dependents — not reported by this ecosystem
Inputs used
packages@artheras/aria-code
dependents—
ecosystemsnpm
total_downloads—
monthly_downloads3,714
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?

45Weak · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.2/22.5Commit distribution — top contributor authored 90% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.9
How it's scored
0/42Issue resolution — 0% of issues closed
30/30PR acceptance — 129/129 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs129
open_issues1
closed_issues0
prs_merged_7d60
prs_decided_7d60
prs_merged_30d60
prs_decided_30d60
issue_closed_ratio0
closed_unmerged_prs0
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
30/30Ownership backing — organization-owned
0/20Verified domain
5/25Owner reach — 4 followers of artheras
5/25Track record — 3 public repos, account ~0 yr old
Inputs used
followers4
owner_typeOrganization
is_verifiedno
owner_loginartheras
public_repos3
account_age_days108

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on npm
35/35Publish recency — latest publish 0 days ago
20/20Version history — 51 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packages@artheras/aria-code
ecosystemsnpm
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall
How it's scored
24/24CI workflows — 8 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black])
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 10 topics
10/10Wiki
Inputs used
topicsai-agent, backtesting, cli, fintech, llm, mcp, offline-first, ollama, quantitative-finance, terminal
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

30At Risk · 16% of overall
How it's scored
30/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestsnpm/package.json, pyproject.toml, requirements.txt
has_codeql_workflowno
has_security_policyyes
has_dependabot_configno

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.

68Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 79 of 79 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black])
11/11Static type checking — mypy.ini
10/10Reproducible environment — Dockerfile
10/10Demonstrated agent practice — 41 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini
agent_commit_share0.41
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini)
53.6/55Manageable file sizes — 21/809 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes237,943
source_files_sampled809
oversized_source_files21
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

5GitHub stars
2contributors
685commits, last 12 months
0days since last push
52releases
1bus factor
1open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'aria-code' points at a different repository (https://github.com/artherahq/aria-code); excluded from ecosystem scoring
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • OpenSSF Scorecard did not return a usable result (exit code 0; Skipping github.com/artheras/aria-code: run: RepoClient.LocalPath: error during tarballHandler.setup: internal error: handler.httpClient.Do: Get "https://codeload.github.com/artheras/aria-code/legacy.tar.gz/refs/heads/main": internal error: innerTransport.RoundTrip: internal error: innerTransport.RoundTrip: error in HTTP: dial tcp 140.82.121.9:443: i/o timeout); skipping Scorecard checks

More detail

Direct dependencies 19
RegistryPackageVersion constraintManifest
PyPIgoogle-genai>=1.0.0pyproject.toml
PyPIaiohttp>=3.9.0pyproject.toml
PyPIrich>=13.7.0pyproject.toml
PyPIprompt_toolkit>=3.0.43pyproject.toml
PyPIPyYAML>=6.0.2pyproject.toml
PyPIrequests>=2.32.0pyproject.toml
PyPIhttpx>=0.27.0pyproject.toml
PyPIPyJWT>=2.8.0pyproject.toml
PyPIaiofiles>=23.2.0pyproject.toml
PyPIwebsockets>=12.0pyproject.toml
PyPIapscheduler>=3.10.0pyproject.toml
PyPIddgs>=9.0pyproject.toml
PyPInumpy>=1.26.0pyproject.toml
PyPIpandas>=2.2.0pyproject.toml
PyPIscipy>=1.13.0pyproject.toml
PyPIpandas_ta>=0.4.67b0pyproject.toml
PyPIyfinance>=0.2.55pyproject.toml
PyPIpyobjc-framework-WebKit>=10.0pyproject.toml
PyPImarkdown>=3.6pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

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, npm.