Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-08 15:32 UTC

phenobarbital / asyncdb

Collection of Asynchronous (Asyncio-based) generic Database connectors

PythonCustom license★ 55 stars⑂ 8 forkssince Sep 2020View on GitHub ↗
KindLibraryhow this is determined
#asyncio#asyncio-redis#asyncpg#cassandra#duckdb#hazelcast#mysql#rethinkdb#aioinflux#asyncmy

phenobarbital/asyncdb holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Vitality (84/100) and lowest on Sustainability & Governance (55/100). It was last updated today. A single contributor accounts for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

phenobarbitalPersonal account
125 followers79 public repossince Oct 2009DEVEL

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
PyPIasyncdb2.16.319,9752430 days agoasyncioasyncpgaioredisaiomcachecassandrascylladbdatabasenavigator

Metrics by category

Vitality

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

84Excellent · 21% of overall

Development activity

74Good
How it's scored
36/36Push recency — last push 0 days ago
10.4/36Commit cadence — 15/52 weeks with commits
18/18Commit volume — 152 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_year152
human_commit_share1
days_since_last_push0
active_weeks_last_year15

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~18 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tag2.16.3
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases18
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?

60Moderate · 17% of overall

Popularity & adoption

35Weak
How it's scored
28.1/60Stars — 55 stars
7/25Forks — 8 forks
0/15Watchers — 1 watchers
Inputs used
forks8
stars55
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

79Good
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

72Good
How it's scored
57.3/80Monthly downloads — 19,975 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesasyncdb
dependents—
ecosystemspypi
total_downloads—
monthly_downloads19,975
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?

55Moderate · 23% of overall

Maintainer resilience (bus factor)

34At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.9/22.5Commit distribution — top contributor authored 92% of commits
13.5/13.5Contributor breadth — 10 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled10
top_contributor_share0.917

Issue & PR responsiveness

35Weak
How it's scored
18.6/42Issue resolution — 44% of issues closed
7.5/30PR acceptance — 379/1,506 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
4.5/15OpenSSF Scorecard: Code-Review — Found 3/8 approved changesets -- score normalized to 3
Inputs used
merged_prs379
open_issues5
closed_issues4
prs_merged_7d1
prs_decided_7d1
prs_merged_30d5
prs_decided_30d5
issue_closed_ratio0.444
closed_unmerged_prs1,127
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

63Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15.1/25Owner reach — 125 followers of phenobarbital
25/25Track record — 79 public repos, account ~16 yr old
Inputs used
followers125
owner_typeUser
is_verified—
owner_loginphenobarbital
public_repos79
account_age_days6,203
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 — 243 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesasyncdb
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

66Good
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — .flake8, .pylintrc, pyproject.toml ([tool.pylint], [tool.black]), tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
2/20OpenSSF Scorecard: CI-Tests — 1 out of 8 merged PRs checked by a CI test -- score normalized to 1
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/phenobarbital/asyncdb/
10/10Repository description
10/10Topics — 10 topics
10/10Wiki
Inputs used
topicsasyncio, asyncio-redis, asyncpg, cassandra, duckdb, hazelcast, mysql, rethinkdb, aioinflux, asyncmy
has_wikiyes
homepage—
docs_sitehttps://github.com/phenobarbital/asyncdb/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

69Good · 16% of overall

Security posture

61Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0.2/2.5CI-Tests — 1 out of 8 merged PRs checked by a CI test -- score normalized to 1
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
2.2/7.5Code-Review — Found 3/8 approved changesets -- score normalized to 3
2.5/2.5Contributors — project has 8 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
3.5/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file 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_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.1
Excluded from scoring (no data or not applicable): Packaging, 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
advisories4
affected_packages1
assessed_packages65
unassessed_packages32
affected_by_severityhigh 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 65 resolved dependencies against OSV. 32 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.

83Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .agents/agents/sdd-autopilot/agent.md, .agents/agents/sdd-feedback/agent.md, .agents/agents/sdd-ideation/agent.md, .agents/agents/sdd-planner/agent.md, .agents/agents/sdd-qa/agent.md, .agents/agents/sdd-research/agent.md, .agents/agents/sdd-secondopinion/agent.md, .agents/agents/sdd-worker/agent.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 78 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.78
agent_instruction_files.agents/agents/sdd-autopilot/agent.md, .agents/agents/sdd-feedback/agent.md, .agents/agents/sdd-ideation/agent.md, .agents/agents/sdd-planner/agent.md, .agents/agents/sdd-qa/agent.md, .agents/agents/sdd-research/agent.md, .agents/agents/sdd-secondopinion/agent.md, .agents/agents/sdd-worker/agent.md
agent_instruction_max_bytes28,649

Verify loop (build / test / typecheck)

77Good
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config — .flake8, .pylintrc, pyproject.toml ([tool.pylint], [tool.black]), tox.ini
11/11Static type checking — asyncdb/drivers/py.typed, asyncdb/py.typed, mypy.ini
0/10Reproducible environment
10/10Demonstrated agent practice — 33 of the last 100 commits agent-authored or agent-credited
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsasyncdb/drivers/py.typed, asyncdb/py.typed, mypy.ini
agent_commit_share0.33
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (asyncdb/drivers/py.typed, asyncdb/py.typed, mypy.ini)
54.1/55Manageable file sizes — 3/191 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes112,294
source_files_sampled191
oversized_source_files3

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 — 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

55GitHub stars
10contributors
152commits, last 12 months
0days since last push
100releases
1bus factor
5open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'asyncdb.utils.types' from its registry
  • deps.dev does not index pypi:asyncdb@2.16.3; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 8 ⇿
0Stars
8Forks
91Releases

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.

02468812020-092023-072026-05
Major 0Minor 10Patch 81

Each point covers 6 days.

OpenSSF Scorecard 6.1 / 10
6.1aggregate

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 · 2026-10-08 15:32 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-Protectionbranch protection is not maximal on development and all release branches
1CI-Tests1 out of 8 merged PRs checked by a CI test -- score normalized to 1
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 3/8 approved changesets -- score normalized to 3
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
7SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 21
RegistryPackageVersion constraintManifest
PyPIcryptography>=43.0.1pyproject.toml
PyPIaiohttp>=3.9.5pyproject.toml
PyPIasyncpg>=0.31.0pyproject.toml
PyPIasyncio>=3.4.3pyproject.toml
PyPIpandas>=2.2.3pyproject.toml
PyPIxlrd>=2.0.2pyproject.toml
PyPIopenpyxl>=3.1.2pyproject.toml
PyPIlz4>=4.4.5pyproject.toml
PyPIcharset-normalizer>=2.0.7pyproject.toml
PyPIiso8601==2.1.0pyproject.toml
PyPIpython-magic==0.4.27pyproject.toml
PyPIdateparser==1.1.8pyproject.toml
PyPIpython-datamodel>=0.10.21pyproject.toml
PyPIaiosqlite>=0.18.0pyproject.toml
PyPIlooseversion==1.3.0pyproject.toml
PyPIaiofiles==24.1.0pyproject.toml
PyPIpgvector==0.4.1pyproject.toml
PyPIgoogle-cloud-bigquery>=3.30.0pyproject.toml
PyPIgoogle-cloud-core>=2.4.3pyproject.toml
PyPIgoogle-cloud-storage>=2.17.0pyproject.toml
PyPIorjson>=3.10.0pyproject.toml
All dependencies 97

Full resolved dependency set from the GitHub dependency graph: 21 direct and 76 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiofiles24.1.0direct
PyPIaiohttp—direct
PyPIaiosqlite—direct
PyPIasyncio—direct
PyPIasyncpg—direct
PyPIcharset-normalizer—direct
PyPIcryptography—direct
PyPIdateparser1.1.8direct
PyPIgoogle-cloud-bigquery—direct
PyPIgoogle-cloud-core—direct
PyPIgoogle-cloud-storage—direct
PyPIiso86012.1.0direct
PyPIlooseversion1.3.0direct
PyPIlz4—direct
PyPIopenpyxl—direct
PyPIorjson—direct
PyPIpandas—direct
PyPIpgvector0.4.1direct
PyPIpython-datamodel—direct
PyPIpython-magic0.4.27direct
PyPIxlrd—direct
PyPIacsylla1.0.0indirect
PyPIaioboto313.2.0indirect
PyPIaiobotocore2.15.2indirect
PyPIaiochclient2.6.0indirect
PyPIaiocouch3.0.0indirect
PyPIaiokafka0.11.0indirect
PyPIaiomcache0.8.2indirect
PyPIaiomysql0.3.2indirect
PyPIaioodbc0.5.0indirect
PyPIaiounittest1.4.2indirect
PyPIasyncmy—indirect
PyPIblack26.3.1indirect
PyPIbuild1.2.1indirect
PyPIcassandra-driver—indirect
PyPIclickhouse-cityhash1.0.2.4indirect
PyPIclickhouse-connect0.8.13indirect
PyPIclickhouse-driver0.2.9indirect
PyPIconnectorx0.4.2indirect
PyPIcoverage7.5.3indirect
PyPIcqlsh6.1.2indirect
PyPIcython3.0.11indirect
PyPIdask2024.8.2indirect
PyPIdeltalake0.19.2indirect
PyPIduckdb—indirect
PyPIelasticsearch8.15.1indirect
PyPIflit3.9.0indirect
PyPIgoogle-cloud-bigquery-storage2.30.0indirect
PyPIhazelcast-python-client5.4.0indirect
PyPIhypothesis6.91.0indirect
PyPIinfluxdb5.3.2indirect
PyPIinfluxdb-client1.45.0indirect
PyPIipython8.27.0indirect
PyPIjaydebeapi1.2.3indirect
PyPIjpype11.5.0indirect
PyPIjsonpath-rw1.4.0indirect
PyPIjsonpath-rw-ext1.2.2indirect
PyPIlint1.2.1indirect
PyPImotor3.7.0indirect
PyPImypy1.7.1indirect
PyPImysqlclient2.2.7indirect
PyPInetworkx3.4.2indirect
PyPIobjectpath0.6.1indirect
PyPIopensearch-py3.1.0indirect
PyPIoracledb2.5.1indirect
PyPIpandas-gbq0.29.0indirect
PyPIpolars—indirect
PyPIpsycopg—indirect
PyPIpsycopg-binary—indirect
PyPIpyarrow—indirect
PyPIpydantic—indirect
PyPIpyiceberg—indirect
PyPIpyjwt—indirect
PyPIpylint3.0.2indirect
PyPIpymongo4.12.0indirect
PyPIpymssql—indirect
PyPIpyodbc5.2.0indirect
PyPIpyperf2.7.0indirect
PyPIpytest—indirect
PyPIpytest-assume2.4.3indirect
PyPIpytest-asyncio0.24.0indirect
PyPIpytest-cov4.0.0indirect
PyPIpytest-cython0.3.1indirect
PyPIpytest-xdist3.6.1indirect
PyPIpython-arango-async—indirect
PyPIredis5.2.1indirect
PyPIrethinkdb2.4.10.post1indirect
PyPIscipy1.15.1indirect
PyPIscylla-driver3.26.9indirect
PyPIsdist0.0.0indirect
PyPIsetuptools—indirect
PyPIsphinx7.3.7indirect
PyPIsqlalchemy—indirect
PyPItox4.18.0indirect
PyPItwine4.0.2indirect
PyPIuvloop—indirect
PyPIwheel—indirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 65 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct. 32 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
pymongo4.12.0indirecthigh44.18.2

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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with phenobarbital/asyncdb. Read them side by side →

96tortoise/tortoise-ormFamiliar asyncio ORM for python, built with relations in mindExceptional95litestar-org/sqlspecA Query Mapper for PythonExceptional96scylladb/scylla-rust-driverAsync CQL driver for Rust, optimized for ScyllaDB!Exceptional94beekeeper-studio/beekeeper-studioModern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.Exceptional94ibis-project/ibisthe portable Python dataframe libraryExceptional92libredb/libredb-studioOne browser tab for PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Redis, SQLite, Couchbase, ClickHouse, Druid, DuckDB, Turso and more. An open-source SQL IDE with SSO, audit trail and AI-assisted queries MIT licensed, with nothing held back behind an enterprise wall.Excellent

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.