Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 16:20 UTC

griptape-ai / griptape

Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

PythonApache-2.0★ 2,576 stars⑂ 261 forkssince Jan 2023View on GitHub ↗

griptape-ai/griptape holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (93/100) and lowest on Security (67/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

94
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.

94
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

GriptapeOrganization · verified domain
198 followers94 public repossince Jan 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIgriptape1.13.036,04214917 days ago

Metrics by category

Vitality

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

93Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 1 days ago
23.5/36Commit cadence — 34/52 weeks with commits
18/18Commit volume — 148 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year148
human_commit_share0.5
days_since_last_push1
active_weeks_last_year34

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 17 days ago
27/27Release cadence — a release every ~21 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv1.13.0
releases_from_tagsno
days_since_latest_release17
mean_days_between_releases21
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?

79Good · 17% of overall
How it's scored
55.3/60Stars — 2,576 stars
20.1/25Forks — 261 forks
8/15Watchers — 29 watchers
Inputs used
forks261
stars2,576
watchers29
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_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateyes
How it's scored
60.8/80Monthly downloads — 36,042 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgriptape
dependents—
ecosystemspypi
total_downloads—
monthly_downloads36,042
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?

76Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10.9/22.5Commit distribution — top contributor authored 51% of commits
13.5/13.5Contributor breadth — 45 contributors
10/10OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled45
top_contributor_share0.514
How it's scored
37.3/42Issue resolution — 89% of issues closed
24.5/30PR acceptance — 1,339/1,640 decided PRs merged
9.8/13Newcomer PR acceptance — 3/4 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 14/15 approved changesets -- score normalized to 9
Inputs used
merged_prs1,339
open_issues62
closed_issues488
prs_merged_7d5
prs_decided_7d5
prs_merged_30d9
prs_decided_30d11
issue_closed_ratio0.887
closed_unmerged_prs301
first_time_authors_30d4
first_time_prs_merged_30d3
first_time_prs_decided_30d4
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
16.5/25Owner reach — 198 followers of griptape-ai
20.3/25Track record — 94 public repos, account ~3 yr old
Inputs used
followers198
owner_typeOrganization
is_verifiedyes
owner_logingriptape-ai
public_repos94
account_age_days1,331

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 17 days ago
20/20Version history — 149 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgriptape
ecosystemspypi
any_deprecatedno
min_days_since_publish17

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-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_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://www.griptape.ai
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicsgpt, llm, openai, ai, python, huggingface, anthropic, claude
has_wikino
homepagehttps://www.griptape.ai
docs_sitehttps://www.griptape.ai
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

67Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-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
6.8/7.5Code-Review — Found 14/15 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 9 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 7 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
4/5SAST — SAST tool is not run on all commits -- score normalized to 8
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 41 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.9
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
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_packages38
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:griptape@1.13.0 runtime dependency closure — what installing the published package pulls in — 38 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.

85Excellent · 4% of overall
How it's scored
45/45Agent instructions — docs/griptape-framework/structures/agents.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://www.griptape.ai/llms.txt)
40/40Legible commit history — 50 of 50 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://www.griptape.ai/llms.txt
legible_history_share1
agent_instruction_filesdocs/griptape-framework/structures/agents.md
agent_instruction_max_bytes1,036
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 24 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 46 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.24
toolchain_manifests—
dependency_bot_commit_share0.46
How it's scored
0/45Type-checkable code — Python without a type-check config
54.9/55Manageable file sizes — 2/1,238 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes1,400,087
source_files_sampled1,238
oversized_source_files2
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 — recipes
Inputs used
example_dirsrecipes
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

2,576GitHub stars
45contributors
148commits, last 12 months
1days since last push
100releases
1bus factor
62open 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 ★ / 261 ⇿
0Stars
261Forks
100Releases

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.

050100150200250300260102023-012024-112026-09
Major 1Minor 29Patch 70

Each point covers 4 days.

OpenSSF Scorecard 5.9 / 10
5.9aggregate

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 · 2026-09-13 16:19 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-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
9Code-ReviewFound 14/15 approved changesets -- score normalized to 9
10Contributorsproject has 9 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 7 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
8SASTSAST tool is not run on all commits -- score normalized to 8
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities41 existing vulnerabilities detected
Direct dependencies 18
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Full resolved dependency set from the GitHub dependency graph: 18 direct and 286 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIregex2024.11.6indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIresponses0.25.7indirect
PyPIrfc39862.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruamel-yaml0.18.10indirect
PyPIruamel-yaml-clib0.2.12indirect
PyPIruff0.15.15indirect
PyPIs3transfer0.12.0indirect
PyPIsafetensors0.5.3indirect
PyPIsecretstorage3.3.3indirect
PyPIselectolax0.4.7indirect
PyPIsentinels1.0.0indirect
PyPIsetuptools83.0.0indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowflake1.5.0indirect
PyPIsnowflake-connector-python4.7.1indirect
PyPIsnowflake-core1.5.0indirect
PyPIsnowflake-legacy1.0.0indirect
PyPIsnowflake-sqlalchemy1.11.0indirect
PyPIsocksio1.0.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.8.4indirect
PyPIsqlalchemy2.0.41indirect
PyPIsse-starlette3.4.8indirect
PyPIstarlette1.6.0indirect
PyPIstringcase—indirect
PyPIsympy1.14.0indirect
PyPItavily-python0.7.2indirect
PyPItld0.13indirect
PyPItokenizers0.21.1indirect
PyPItoml0.10.2indirect
PyPItomli2.2.1indirect
PyPItomli2.4.1indirect
PyPItomlkit0.13.2indirect
PyPItorch—indirect
PyPItorch2.14.0indirect
PyPItqdm4.67.1indirect
PyPItrafilatura2.0.0indirect
PyPItransformers4.53.0indirect
PyPItriton3.8.0indirect
PyPItruststore0.10.4indirect
PyPItwine6.2.0indirect
PyPItypes-awscrt0.24.1indirect
PyPItypes-requests2.32.0.20250306indirect
PyPItypes-s3transfer0.11.4indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.4indirect
PyPItypos1.47.0indirect
PyPItzdata2025.1indirect
PyPItzlocal5.3.1indirect
PyPIuuid62024.7.10indirect
PyPIuvicorn0.52.4indirect
PyPIvirtualenv20.36.1indirect
PyPIvoyageai0.3.2indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.2.13indirect
PyPIwebsockets15.0.1indirect
PyPIwerkzeug3.1.6indirect
PyPIxmltodict0.14.2indirect
PyPIyarl1.18.3indirect
PyPIzipp3.21.0indirect
Dependency advisories 0

Installing pypi:griptape@1.13.0 pulls in 38 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

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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.

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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.