Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 06:11 UTC

google-antigravity / antigravity-sdk-python

A Python library for building AI agents that leverage the full power of Google Antigravity.

PythonApache-2.0★ 3,333 stars⑂ 1,321 forkssince Apr 2026View on GitHub ↗
KindLibraryMCP serverhow this is determined

google-antigravity/antigravity-sdk-python holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (91/100) and lowest on AI Readiness (50/100). It was last updated 6 days ago. 2 contributors account for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

Google AntigravityOrganization
1,259 followers2 public repossince Nov 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIgoogle-antigravity0.1.16544,534176 days ago

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 6 days ago
13.2/36Commit cadence — 19/52 weeks with commits
18/18Commit volume — 555 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year555
human_commit_share1
days_since_last_push6
active_weeks_last_year19
How it's scored
16.2/27Ships releases — 17 version tags (no GitHub releases)
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~5.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count17
latest_release_tagv0.1.16
releases_from_tagsyes
days_since_latest_release6
mean_days_between_releases5.3
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?

91Excellent · 17% of overall
How it's scored
57.1/60Stars — 3,333 stars
25/25Forks — 1,321 forks
12/15Watchers — 148 watchers
Inputs used
forks1,321
stars3,333
watchers148
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
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
How it's scored
76.5/80Monthly downloads — 544,534 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgoogle-antigravity
dependents—
ecosystemspypi
total_downloads—
monthly_downloads544,534
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?

75Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.4/22.5Commit distribution — top contributor authored 45% of commits
13.5/13.5Contributor breadth — 12 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled12
top_contributor_share0.449
How it's scored
35.8/42Issue resolution — 85% of issues closed
0/30PR acceptance — no decided pull requests or no data
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs0
open_issues22
closed_issues128
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.853
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): PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
22.3/25Owner reach — 1,259 followers of google-antigravity
5.2/25Track record — 2 public repos, account ~0 yr old
Inputs used
followers1,259
owner_typeOrganization
is_verifiedno
owner_logingoogle-antigravity
public_repos2
account_age_days308

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 6 days ago
20/20Version history — 17 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgoogle-antigravity
ecosystemspypi
any_deprecatedno
min_days_since_publish6

Engineering Quality

Are baseline engineering and documentation practices in place?

66Good · 19% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
0/16Linter config
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_configno
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://antigravity.google/product/antigravity-sdk
10/10Repository description
10/10Topics — 9 topics
10/10Wiki
Inputs used
topicsai-agents, antigravity, gemini, gemini-api, google, llm-agents, mcp, python-sdk, skills
has_wikiyes
homepagehttps://antigravity.google/product/antigravity-sdk
docs_sitehttps://antigravity.google/product/antigravity-sdk
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

60Moderate · 16% of overall
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 — no data
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 5 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
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
0/5SAST — no SAST tool detected
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 27 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5
Excluded from scoring (no data or not applicable): CI-Tests, 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
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_packages44
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:google-antigravity@0.1.16 runtime dependency closure — what installing the published package pulls in — 44 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.

50Moderate · 4% of overall
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://antigravity.google/llms.txt)
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://antigravity.google/llms.txt
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
53.9/55Manageable file sizes — 2/97 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes199,340
source_files_sampled97
oversized_source_files2
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — google/antigravity/proto/agents.proto, google/antigravity/proto/content.proto, google/antigravity/proto/elicitation.proto, google/antigravity/proto/environment.proto, google/antigravity/proto/error.proto, google/antigravity/proto/events.proto, google/antigravity/proto/genai_json_annotations.proto, google/antigravity/proto/hooks.proto, google/antigravity/proto/in_context_file_citation.proto, google/antigravity/proto/interaction.proto, google/antigravity/proto/interaction_service.proto, google/antigravity/proto/live_config.proto, google/antigravity/proto/live_events.proto, google/antigravity/proto/localharness.proto, google/antigravity/proto/media_stream_steps.proto, google/antigravity/proto/models.proto, google/antigravity/proto/response_format.proto, google/antigravity/proto/runtime_context_update.proto, google/antigravity/proto/safety_settings.proto, google/antigravity/proto/sse_events.proto, google/antigravity/proto/steps.proto, google/antigravity/proto/thinking.proto, google/antigravity/proto/tools.proto, google/antigravity/proto/user_action_steps.proto, google/antigravity/proto/user_steps.proto
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_filesgoogle/antigravity/proto/agents.proto, google/antigravity/proto/content.proto, google/antigravity/proto/elicitation.proto, google/antigravity/proto/environment.proto, google/antigravity/proto/error.proto, google/antigravity/proto/events.proto, google/antigravity/proto/genai_json_annotations.proto, google/antigravity/proto/hooks.proto, google/antigravity/proto/in_context_file_citation.proto, google/antigravity/proto/interaction.proto, google/antigravity/proto/interaction_service.proto, google/antigravity/proto/live_config.proto, google/antigravity/proto/live_events.proto, google/antigravity/proto/localharness.proto, google/antigravity/proto/media_stream_steps.proto, google/antigravity/proto/models.proto, google/antigravity/proto/response_format.proto, google/antigravity/proto/runtime_context_update.proto, google/antigravity/proto/safety_settings.proto, google/antigravity/proto/sse_events.proto, google/antigravity/proto/steps.proto, google/antigravity/proto/thinking.proto, google/antigravity/proto/tools.proto, google/antigravity/proto/user_action_steps.proto, google/antigravity/proto/user_steps.proto
interfaces_expected_of—

Key facts

3,333GitHub stars
12contributors
555commits, last 12 months
6days since last push
17releases
2bus factor
22open 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 ★ / 1,321 ⇿
0Stars
1,321Forks
15Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

2004006008001,0001,2001,4001,321212026-052026-072026-09
Major 0Minor 0Patch 15
OpenSSF Scorecard 5.0 / 10
5.0aggregate

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 · 2026-09-09 06:11 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
0SASTno SAST tool detected
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities27 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIabsl-py—pyproject.toml
PyPIgoogle-genai>=1.0pyproject.toml
PyPImcp>=1.0,<3.0pyproject.toml
PyPIpydantic>=2.0pyproject.toml
PyPIuvicorn>=0.46pyproject.toml
PyPIwebsockets>=12.0pyproject.toml
PyPIprotobuf>=7.35pyproject.toml
All dependencies 77

Full resolved dependency set from the GitHub dependency graph: 14 direct and 63 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIabsl-py—direct
PyPIabsl-py2.4.0direct
PyPIgoogle-genai—direct
PyPIgoogle-genai2.0.1direct
PyPImcp—direct
PyPImcp1.27.1direct
PyPIprotobuf—direct
PyPIprotobuf7.34.1direct
PyPIpydantic—direct
PyPIpydantic2.13.4direct
PyPIuvicorn—direct
PyPIuvicorn0.46.0direct
PyPIwebsockets—direct
PyPIwebsockets16.0direct
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIattrs26.1.0indirect
PyPIcertifi2026.4.22indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.3.3indirect
PyPIcryptography48.0.0indirect
PyPIdistro1.9.0indirect
PyPIdocutils0.22.4indirect
PyPIgoogle-auth2.52.0indirect
PyPIh110.16.0indirect
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PyPIhttpx0.28.1indirect
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PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIkeyrings-google-artifactregistry-auth1.1.2indirect
PyPImarkdown-it-py4.2.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.0.2indirect
PyPInh30.3.5indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpyasn10.6.3indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.1indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.12.1indirect
PyPIpytest—indirect
PyPIpytest9.0.3indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.28indirect
PyPIreadme-renderer44.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.33.1indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools—indirect
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PyPIsse-starlette3.4.2indirect
PyPIstarlette1.0.0indirect
PyPItenacity9.1.4indirect
PyPItwine6.2.0indirect
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PyPIwcwidth0.7.0indirect
Dependency advisories 0

Installing pypi:google-antigravity@0.1.16 pulls in 44 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.

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.