Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-15 17:11 UTC

bioscope-ai / aiodynamo

Asynchronous, fast, pythonic DynamoDB Client

PythonCustom license★ 0 stars⑂ 0 forkssince Feb 2026forkView on GitHub ↗
KindLibraryhow this is determined

bioscope-ai/aiodynamo holds a health index of 51 out of 100, placing it in the Moderate band. It scores highest on Vitality (68/100) and lowest on Community & Adoption (23/100). It was last updated today. A single contributor accounts for most of its recent work.

51
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.

51
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 51 is calibrated to 51 on the published index scale (record calibration 2026-08-02).

Ownership

Bioscope AIOrganization
6 followers5 public repossince Jun 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIbioscope-aiodynamo1.0.25,77132 days agodynamodbasyncioaws

Metrics by category

Vitality

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

68Good · 21% of overall

Development activity

52Moderate
How it's scored
36/36Push recency — last push 0 days ago
3.5/36Commit cadence — 5/52 weeks with commits
10.3/18Commit volume — 13 commits in the last year
2/10OpenSSF Scorecard: Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
Inputs used
commits_last_year13
human_commit_share—
days_since_last_push0
active_weeks_last_year5

Release discipline

92Excellent
How it's scored
27/27Ships releases — 3 releases published
36/36Release recency — latest release 2 days ago
19.8/27Release cadence — a release every ~79.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count3
latest_release_tagv1.0.2
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases79.4
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?

23At Risk · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

19Critical
How it's scored
0/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeno
has_licenseno
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

63Moderate
How it's scored
50.2/80Monthly downloads — 5,771 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesbioscope-aiodynamo
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,771
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?

62Moderate · 23% of overall

Maintainer resilience (bus factor)

39Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.5/22.5Commit distribution — top contributor authored 71% of commits
13.5/13.5Contributor breadth — 20 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled20
top_contributor_share0.709

Issue & PR responsiveness

73Good
How it's scored
0/42Issue resolution — no issues or no data
30/30PR acceptance — 5/5 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-Review — Found 5/22 approved changesets -- score normalized to 2
Inputs used
merged_prs5
open_issues0
closed_issues0
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio—
closed_unmerged_prs0
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

55Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
6.1/25Owner reach — 6 followers of bioscope-ai
7.7/25Track record — 5 public repos, account ~1 yr old
Inputs used
followers6
owner_typeOrganization
is_verified—
owner_loginbioscope-ai
public_repos5
account_age_days379
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

92Excellent
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 2 days ago
12/20Version history — 3 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesbioscope-aiodynamo
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

48Weak · 19% of overall

Engineering practices

70Good
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 4 out of 5 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configno
has_precommit_configno

Documentation

15Critical
How it's scored
0/30README
0/25Documentation directory
15/15Documentation / homepage site — https://aiodynamo.readthedocs.io/
0/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://aiodynamo.readthedocs.io/
docs_sitehttps://aiodynamo.readthedocs.io/
has_readmeno
has_docs_dirno
has_descriptionno

Security

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

50Moderate · 16% of overall

Security posture

50Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
4.5/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2/2.5CI-Tests — 4 out of 5 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 5/22 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 8 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
1.5/7.5Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
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
0/7.5Vulnerabilities — 29 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

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.

45Weak · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

65Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — src/aiodynamo/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configssrc/aiodynamo/py.typed
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/aiodynamo/py.typed)
55/55Manageable file sizes — 0/39 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes38,278
source_files_sampled39
oversized_source_files0

Key facts

0GitHub stars
20contributors
13commits, last 12 months
0days since last push
3releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Community profile unavailable

More detail

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 · 2026-07-15 17:10 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
8CI-Tests4 out of 5 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 5/22 approved changesets -- score normalized to 2
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
2Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
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
0Vulnerabilities29 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIyarl>=1.4.2pyproject.toml
All dependencies 64

Full resolved dependency set from the GitHub dependency graph: 1 direct and 63 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIyarl1.22.0direct
PyPIaccessible-pygments0.0.5indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.13.3indirect
PyPIaiosignal1.4.0indirect
PyPIalabaster1.0.0indirect
PyPIanyio4.12.1indirect
PyPIattrs25.4.0indirect
PyPIbabel2.18.0indirect
PyPIbasedpyright1.37.4indirect
PyPIbeautifulsoup44.14.3indirect
PyPIbioscope-aiodynamo1.0.1indirect
PyPIboto31.42.41indirect
PyPIbotocore1.42.41indirect
PyPIcertifi2026.1.4indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.3indirect
PyPIdocutils0.22.4indirect
PyPIexecnet2.1.2indirect
PyPIfreezegun1.5.5indirect
PyPIfrozenlist1.8.0indirect
PyPIfuro2025.12.19indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidna3.11indirect
PyPIimagesize1.4.1indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjmespath1.1.0indirect
PyPImarkupsafe3.0.3indirect
PyPImultidict6.7.1indirect
PyPInodejs-wheel-binaries24.13.0indirect
PyPIpackaging26.0indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.4.1indirect
PyPIpsutil7.2.2indirect
PyPIpyfakefs6.0.0indirect
PyPIpygments2.19.2indirect
PyPIpyperf2.9.0indirect
PyPIpytest9.0.2indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIrequests2.32.5indirect
PyPIroman-numerals4.1.0indirect
PyPIruff0.15.0indirect
PyPIs3transfer0.16.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsoupsieve2.8.3indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItypes-freezegun1.1.10indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.6.3indirect
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 v0.11.0 — full methodology · metrics wiki.

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