Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 05:15 UTC

Giskard-AI / giskard-oss

🐢 Open-Source Evaluation & Testing library for LLM Agents

PythonApache-2.0★ 5,775 stars⑂ 524 forkssince Mar 2022View on GitHub ↗

Giskard-AI/giskard-oss holds a health index of 97 out of 100, placing it in the Exceptional band. It scores highest on AI Readiness (97/100) and lowest on Security (73/100). It was last updated today. 3 contributors account for most of its recent work.

97
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.

97
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 85 is calibrated to 97 on the published index scale (record calibration 2026-08-02).

Ownership

GiskardOrganization · verified domain
269 followers34 public repossince Sep 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIgiskardpoints to another repo — not scored3.0.0-1162 days ago
PyPIgiskard-llm1.0.09,17172 days ago
PyPIgiskard-core1.0.19,946162 days ago
PyPIgiskard-scan1.0.04,03652 days ago
PyPIgiskard-agents1.0.29,870152 days ago
PyPIgiskard-checks1.0.39,667121 day ago

Metrics by category

Vitality

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

88Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
22.2/36Commit cadence — 32/52 weeks with commits
18/18Commit volume — 343 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year343
human_commit_share0.75
days_since_last_push0
active_weeks_last_year32
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~0.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_taggiskard-checks/v1.0.3
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases0.9

Community & Adoption

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

92Excellent · 17% of overall
How it's scored
60/60Stars — 5,775 stars
22.7/25Forks — 524 forks
8.9/15Watchers — 41 watchers
Inputs used
forks524
stars5,775
watchers41
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

84Excellent · 23% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
17.5/22.5Commit distribution — top contributor authored 22% of commits
13.5/13.5Contributor breadth — 69 contributors
10/10OpenSSF Scorecard: Contributors — project has 16 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled69
top_contributor_share0.224
How it's scored
40.4/42Issue resolution — 96% of issues closed
18.9/30PR acceptance — 1,294/2,057 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 4/27 approved changesets -- score normalized to 1
Inputs used
merged_prs1,294
open_issues23
closed_issues603
prs_merged_7d11
prs_decided_7d11
prs_merged_30d50
prs_decided_30d55
issue_closed_ratio0.963
closed_unmerged_prs763
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
17.5/25Owner reach — 269 followers of Giskard-AI
23.1/25Track record — 34 public repos, account ~5 yr old
Inputs used
followers269
owner_typeOrganization
is_verifiedyes
owner_loginGiskard-AI
public_repos34
account_age_days2,164

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 5 package(s) on pypi
35/35Publish recency — latest publish 1 days ago
20/20Version history — 16 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgiskard-llm, giskard-core, giskard-scan, giskard-agents, giskard-checks
ecosystemspypi
any_deprecatedno
min_days_since_publish1

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 — libs/giskard-agents/pyproject.toml ([tool.ruff]), libs/giskard-checks/pyproject.toml ([tool.ruff]), libs/giskard-core/pyproject.toml ([tool.ruff]), libs/giskard-llm/pyproject.toml ([tool.ruff]), libs/giskard-scan/pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 18 out of 18 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
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://docs.giskard.ai
10/10Repository description
10/10Topics — 17 topics
10/10Wiki
Inputs used
topicsmlops, ml-validation, ml-testing, ai-testing, llmops, responsible-ai, fairness-ai, trustworthy-ai, llm-eval, llm-evaluation, rag-evaluation, ai-security, llm-security, ai-red-team, red-team-tools, llm, agent-evaluation
has_wikiyes
homepagehttps://docs.giskard.ai
docs_sitehttps://docs.giskard.ai
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

73Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 18 out of 18 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
0.8/7.5Code-Review — Found 4/27 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 16 contributing companies or organizations
0/10Dangerous-Workflow — 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 25 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
5/5Pinned-Dependencies — all dependencies are pinned
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.6
Excluded from scoring (no data or not applicable): Packaging. 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_packages39
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:giskard@3.0.0 runtime dependency closure — what installing the published package pulls in — 39 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.

97Exceptional · 4% of overall
How it's scored
45/45Agent instructions — .claude/CLAUDE.md, .cursor/rules/documentation.mdc, .cursor/rules/guidelines.mdc, .cursor/rules/python.mdc, AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.giskard.ai/llms.txt)
40/40Legible commit history — 75 of 75 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.giskard.ai/llms.txt
legible_history_share1
agent_instruction_files.claude/CLAUDE.md, .cursor/rules/documentation.mdc, .cursor/rules/guidelines.mdc, .cursor/rules/python.mdc, AGENTS.md
agent_instruction_max_bytes4,139
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — libs/giskard-agents/pyproject.toml ([tool.ruff]), libs/giskard-checks/pyproject.toml ([tool.ruff]), libs/giskard-core/pyproject.toml ([tool.ruff]), libs/giskard-llm/pyproject.toml ([tool.ruff]), libs/giskard-scan/pyproject.toml ([tool.ruff])
11/11Static type checking — libs/giskard-agents/src/giskard/agents/py.typed, libs/giskard-checks/src/giskard/checks/py.typed, libs/giskard-core/src/giskard/core/py.typed, libs/giskard-llm/src/giskard/llm/py.typed, libs/giskard-scan/src/giskard/scan/py.typed, pyrightconfig.json
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 63 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 4 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configslibs/giskard-agents/src/giskard/agents/py.typed, libs/giskard-checks/src/giskard/checks/py.typed, libs/giskard-core/src/giskard/core/py.typed, libs/giskard-llm/src/giskard/llm/py.typed, libs/giskard-scan/src/giskard/scan/py.typed, pyrightconfig.json
agent_commit_share0.63
toolchain_manifests—
dependency_bot_commit_share0.04
How it's scored
27/45Type-checkable code — Python with type-check config (libs/giskard-agents/src/giskard/agents/py.typed, libs/giskard-checks/src/giskard/checks/py.typed, libs/giskard-core/src/giskard/core/py.typed, libs/giskard-llm/src/giskard/llm/py.typed, libs/giskard-scan/src/giskard/scan/py.typed, pyrightconfig.json)
54.8/55Manageable file sizes — 1/339 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes61,641
source_files_sampled339
oversized_source_files1
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

5,775GitHub stars
69contributors
343commits, last 12 months
0days since last push
100releases
3bus factor
23open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'giskard' points at a different repository (https://github.com/Giskard-AI/giskard); excluded from ecosystem scoring

More detail

Star and fork history 0 ★ / 524 ⇿
0Stars
524Forks
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.

0100200300400500600516492022-042024-062026-08
Major 1Minor 19Patch 34

Each point covers 5 days.

OpenSSF Scorecard 6.6 / 10
6.6aggregate

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 · 2026-08-28 05:15 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests18 out of 18 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 4/27 approved changesets -- score normalized to 1
10Contributorsproject has 16 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 28
RegistryPackageVersion constraintManifest
PyPIgiskard-checks>=1.0.3,<2pyproject.toml
PyPIgiskard-llm>=1.0.0,<2libs/giskard-agents/pyproject.toml
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PyPIgriffe>=1.7.0,<3libs/giskard-agents/pyproject.toml
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PyPInumpy>=2.4.1,<3libs/giskard-agents/pyproject.toml
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PyPIpydantic>=2.12,<3libs/giskard-checks/pyproject.toml
PyPIpydantic-settings>=2.7,<3libs/giskard-checks/pyproject.toml
PyPIgiskard-agents>=1.0.2,<2libs/giskard-checks/pyproject.toml
PyPIjinja2>=3.1.6,<4libs/giskard-checks/pyproject.toml
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PyPIrich>=14.2.0,<16libs/giskard-checks/pyproject.toml
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PyPIpydantic>=2.11.0,<3libs/giskard-llm/pyproject.toml
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PyPIgiskard-agents>=1.0.2,<2libs/giskard-scan/pyproject.toml
PyPInumpy>=2.4.1,<3libs/giskard-scan/pyproject.toml
PyPIhuggingface-hub>=1.11.0,<2libs/giskard-scan/pyproject.toml
All dependencies 301

Full resolved dependency set from the GitHub dependency graph: 36 direct and 265 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPInvidia-cusparse12.6.3.3indirect
PyPInvidia-cusparselt-cu130.8.1indirect
PyPInvidia-nccl-cu132.29.7indirect
PyPInvidia-nvjitlink13.3.33indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPInvidia-riva-client2.16.0indirect
PyPIollama0.6.2indirect
PyPIopenai—indirect
PyPIopenai2.54.0indirect
PyPIopentelemetry-api1.43.0indirect
PyPIopentelemetry-sdk1.43.0indirect
PyPIopentelemetry-semantic-conventions0.64b0indirect
PyPIorjson3.11.9indirect
PyPIormsgpack1.12.2indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging26.2indirect
PyPIpandas3.0.3indirect
PyPIparso0.8.7indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.3.0indirect
PyPIpip26.2.1indirect
PyPIpip-api0.0.34indirect
PyPIpip-audit2.10.1indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIportalocker3.2.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.5.2indirect
PyPIproto-plus1.28.0indirect
PyPIprotobuf6.33.6indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpuremagic2.2.0indirect
PyPIpy-markdown-table1.3.0indirect
PyPIpy-serializable2.1.0indirect
PyPIpyarrow24.0.0indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpyfiglet1.0.4indirect
PyPIpygments2.20.0indirect
PyPIpylint4.0.6indirect
PyPIpylint-plugin-utils0.9.0indirect
PyPIpylint-pydantic0.4.1indirect
PyPIpyparsing3.3.2indirect
PyPIpyperclip1.11.0indirect
PyPIpyphen0.17.2indirect
PyPIpyreadline33.5.6indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-repeat0.9.4indirect
PyPIpytest-rerunfailures16.4indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-magic0.4.27indirect
PyPIpython-magic-bin0.4.14indirect
PyPIpython-ulid3.1.0indirect
PyPIpytz2026.2indirect
PyPIpywin32312indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.37.0indirect
PyPIreplicate1.0.7indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrpds-py2026.5.1indirect
PyPIs3transfer0.19.0indirect
PyPIsafetensors0.8.0indirect
PyPIsentencepiece0.2.1indirect
PyPIsentry-sdk2.64.0indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsqlite-fts41.0.3indirect
PyPIsqlite-migrate0.1b0indirect
PyPIsqlite-utils3.39indirect
PyPIstack-data0.6.3indirect
PyPIstandard-nntplib—indirect
PyPIstandard-nntplib3.13.0indirect
PyPIstdlibs2026.2.26indirect
PyPIsympy1.14.0indirect
PyPItabulate0.9.0indirect
PyPItextstat—indirect
PyPItextstat0.7.13indirect
PyPItiktoken0.13.0indirect
PyPItokenizers0.22.2indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.15.0indirect
PyPItorch2.13.0indirect
PyPItornado6.5.7indirect
PyPItqdm4.68.3indirect
PyPItraitlets5.15.1indirect
PyPItransformers5.12.1indirect
PyPItriton3.7.1indirect
PyPItyper0.25.1indirect
PyPItypes-requests2.33.0.20260518indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.16.2indirect
PyPIwcwidth0.8.1indirect
PyPIwebsockets15.0.1indirect
PyPIwheel0.47.0indirect
PyPIwn0.9.5indirect
PyPIxdg-base-dirs6.0.2indirect
PyPIxxhash3.8.0indirect
PyPIyarl1.24.2indirect
PyPIzalgolib0.2.2indirect
PyPIzipp4.1.0indirect
PyPIzope-interface8.5indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:giskard@3.0.0 pulls in 39 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.