Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 20:02 UTC

airbytehq / airbyte-python-cdk

The Python CDK empowers hundreds of Airbyte connectors, including low-code and no-code connectors.

PythonMIT★ 25 stars⑂ 51 forkssince Nov 2024View on GitHub ↗
KindCommand-line toolLibraryNetwork servicehow this is determined

airbytehq/airbyte-python-cdk holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Vitality (94/100) and lowest on Security (59/100). It was last updated today. 6 contributors account for most of its recent work.

93
overall / 100
Exceptional

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.

93
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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

AirbyteOrganization · verified domain
1,054 followers64 public repossince Jan 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIairbyte-cdk7.28.21,545,0191,2455 days agoairbyteconnector-development-kitcdk

Metrics by category

Vitality

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

94Exceptional · 21% of overall

Development activity

96Exceptional
How it's scored
36/36Push recency — last push 0 days ago
32.5/36Commit cadence — 47/52 weeks with commits
18/18Commit volume — 156 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year156
human_commit_share0.61
days_since_last_push0
active_weeks_last_year47

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 5 days ago
27/27Release cadence — a release every ~3.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv7.28.2
releases_from_tagsno
days_since_latest_release5
mean_days_between_releases3.4

Community & Adoption

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

65Good · 17% of overall

Popularity & adoption

39Weak
How it's scored
22.4/60Stars — 25 stars
14.2/25Forks — 51 forks
2.7/15Watchers — 4 watchers
Inputs used
forks51
stars25
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
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
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 1,545,019 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesairbyte-cdk
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,545,019
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?

87Excellent · 23% of overall

Maintainer resilience (bus factor)

91Excellent
How it's scored
48.6/54Bus factor — 6 contributor(s) cover half of all commits
19.1/22.5Commit distribution — top contributor authored 15% of commits
13.5/13.5Contributor breadth — 95 contributors
10/10OpenSSF Scorecard: Contributors — project has 23 contributing companies or organizations
Inputs used
bus_factor6
contributors_sampled95
top_contributor_share0.151

Issue & PR responsiveness

63Moderate
How it's scored
19.2/42Issue resolution — 46% of issues closed
20.8/30PR acceptance — 579/836 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs579
open_issues50
closed_issues42
prs_merged_7d2
prs_decided_7d2
prs_merged_30d18
prs_decided_30d21
issue_closed_ratio0.457
closed_unmerged_prs257
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

97Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
21.7/25Owner reach — 1,054 followers of airbytehq
25/25Track record — 64 public repos, account ~6 yr old
Inputs used
followers1,054
owner_typeOrganization
is_verifiedyes
owner_loginairbytehq
public_repos64
account_age_days2,420

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 5 days ago
20/20Version history — 1,245 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesairbyte-cdk
ecosystemspypi
any_deprecatedno
min_days_since_publish5

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 23 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://airbytehq.github.io/airbyte-python-cdk/
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://airbytehq.github.io/airbyte-python-cdk/
docs_sitehttps://airbytehq.github.io/airbyte-python-cdk/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

59Moderate · 16% of overall

Security posture

58Moderate
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 — 30 out of 30 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 23 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 — 30 commit(s) and 1 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
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 128 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.8

Dependency advisories

63Moderate
How it's scored
6.1/35Direct dependencies free of known advisories — 2 affected: nltk 3.9.1 (critical 10.0), setuptools 80.10.2 (moderate 6.1)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
32/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 190 days ago
Inputs used
sourceosv
advisories31
affected_packages2
assessed_packages79
unassessed_packages0
affected_by_severitycritical 1, moderate 1
direct_affected_packages2
Matched the pypi:airbyte-cdk@7.28.2 runtime dependency closure — what installing the published package pulls in — 79 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.

62Moderate · 4% of overall

Agent context & guidance

55Moderate
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.airbyte.com/llms.txt)
40/40Legible commit history — 61 of 61 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.airbyte.com/llms.txt
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

69Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — ruff.toml
11/11Static type checking — airbyte_cdk/py.typed, mypy.ini
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 87 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
lockfilespackage-lock.json, poetry.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsairbyte_cdk/py.typed, mypy.ini
agent_commit_share0.87
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (airbyte_cdk/py.typed, mypy.ini)
54.1/55Manageable file sizes — 13/789 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes248,273
source_files_sampled789
oversized_source_files13

Machine-readable interfaces

40Weak
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — airbyte_cdk/manifest_server/openapi.yaml
0/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalno
api_schema_filesairbyte_cdk/manifest_server/openapi.yaml
interfaces_expected_ofnetwork-service

Key facts

25GitHub stars
95contributors
156commits, last 12 months
0days since last push
100releases
6bus factor
50open issues
npm, 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 ★ / 51 ⇿
0Stars
51Forks
95Releases

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.

010203040504922024-112025-102026-08
Major 1Minor 25Patch 59

Each point covers 2 days.

OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-08-27 20:02 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 23 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 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
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities128 existing vulnerabilities detected
Direct dependencies 65
RegistryPackageVersion constraintManifest
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All dependencies 223

Full resolved dependency set from the GitHub dependency graph: 65 direct and 158 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIrequirements-parser0.11.0indirect
PyPIrpds-py0.27.1indirect
PyPIrsa4.9.1indirect
PyPIruff0.11.5indirect
PyPIscikit-learn1.6.1indirect
PyPIscipy1.15.1indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsoupsieve2.6indirect
PyPIstarlette0.47.3indirect
PyPItabulate0.9.0indirect
PyPItenacity8.5.0indirect
PyPItextual1.0.0indirect
PyPIthreadpoolctl3.5.0indirect
PyPItokenizers0.21.4indirect
PyPItomli2.2.1indirect
PyPItqdm4.67.1indirect
PyPItypes-cachetools5.5.0.20240820indirect
PyPItypes-python-dateutil2.9.0.20241206indirect
PyPItypes-pytz2024.2.0.20241221indirect
PyPItypes-pyyaml6.0.12.20241230indirect
PyPItypes-requests2.32.0.20241016indirect
PyPItypes-setuptools75.8.2.20250305indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.1indirect
PyPItzlocal5.3.1indirect
PyPIuc-micro-py1.0.3indirect
PyPIurl-normalize1.4.3indirect
PyPIurllib32.3.0indirect
PyPIuuid-utils0.13.0indirect
PyPIwerkzeug3.1.3indirect
PyPIwrapt1.17.3indirect
PyPIxlsxwriter3.2.0indirect
PyPIyarl1.18.3indirect
PyPIzipp3.23.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 2

Installing pypi:airbyte-cdk@7.28.2 pulls in 79 packages, direct and transitive: 2 carry known advisories, of which 2 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
nltk3.9.1directcritical293.10.0
setuptools80.10.2directmoderate283.0.0

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.

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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.