Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 08:39 UTC

strands-agents / tools

A set of tools that gives agents powerful capabilities.

PythonApache-2.0★ 1,201 stars⑂ 337 forkssince May 2025View on GitHub ↗
KindLibraryChat bothow this is determined

strands-agents/tools holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on AI Readiness (57/100). It was last updated today. 10 contributors account for most of its recent work.

98
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.

98
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 86 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

strands-agentsOrganization
2,130 followers13 public repossince Apr 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIstrands-agents-tools0.8.83,033,062537 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
29.8/36Commit cadence — 43/52 weeks with commits
18/18Commit volume — 107 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year107
human_commit_share0.93
days_since_last_push0
active_weeks_last_year43

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 52 releases published
36/36Release recency — latest release 7 days ago
27/27Release cadence — a release every ~10.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count52
latest_release_tagv0.8.8
releases_from_tagsno
days_since_latest_release7
mean_days_between_releases10.9
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?

88Excellent · 17% of overall
How it's scored
49.9/60Stars — 1,201 stars
21.1/25Forks — 337 forks
7/15Watchers — 19 watchers
Inputs used
forks337
stars1,201
watchers19
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_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes
How it's scored
80/80Monthly downloads — 3,033,062 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesstrands-agents-tools
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,033,062
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?

83Excellent · 23% of overall
How it's scored
54/54Bus factor — 10 contributor(s) cover half of all commits
20.8/22.5Commit distribution — top contributor authored 8% of commits
13.5/13.5Contributor breadth — 79 contributors
10/10OpenSSF Scorecard: Contributors — project has 14 contributing companies or organizations
Inputs used
bus_factor10
contributors_sampled79
top_contributor_share0.076
How it's scored
25.7/42Issue resolution — 61% of issues closed
20.7/30PR acceptance — 222/322 decided PRs merged
8.7/13Newcomer PR acceptance — 4/6 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs222
open_issues69
closed_issues109
prs_merged_7d1
prs_decided_7d1
prs_merged_30d8
prs_decided_30d10
issue_closed_ratio0.612
closed_unmerged_prs100
first_time_authors_30d5
first_time_prs_merged_30d4
first_time_prs_decided_30d6
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
23.9/25Owner reach — 2,130 followers of strands-agents
11.1/25Track record — 13 public repos, account ~1 yr old
Inputs used
followers2,130
owner_typeOrganization
is_verifiedno
owner_loginstrands-agents
public_repos13
account_age_days504

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 7 days ago
20/20Version history — 53 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesstrands-agents-tools
ecosystemspypi
any_deprecatedno
min_days_since_publish7

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://strandsagents.com
10/10Repository description
10/10Topics — 19 topics
0/10Wiki
Inputs used
topicsagentic, agentic-ai, agents, ai, anthropic, autonomous-agents, genai, litellm, llm, machine-learning, mcp, multi-agent-systems, ollama, opentelemetry, python, bedrock, llama, openai, strands-agents
has_wikino
homepagehttps://strandsagents.com
docs_sitehttps://strandsagents.com
has_readmeyes
has_docs_diryes
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
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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 14 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 18 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
1/5SAST — SAST tool is not run on all commits -- score normalized to 2
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
4.5/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 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): 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_packages71
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:strands-agents-tools@0.8.8 runtime dependency closure — what installing the published package pulls in — 71 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.

57Moderate · 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://strandsagents.com/llms.txt)
40/40Legible commit history — 93 of 93 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://strandsagents.com/llms.txt
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/strands_tools/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice — 5 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 7 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
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/strands_tools/py.typed
agent_commit_share0.05
toolchain_manifests—
dependency_bot_commit_share0.07
How it's scored
27/45Type-checkable code — Python with type-check config (src/strands_tools/py.typed)
54.7/55Manageable file sizes — 1/165 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes62,957
source_files_sampled165
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofchat-bot

Key facts

1,201GitHub stars
79contributors
107commits, last 12 months
0days since last push
52releases
10bus factor
69open 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 ★ / 337 ⇿
0Stars
337Forks
52Releases

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.

012525037533282025-052026-012026-09
Major 0Minor 8Patch 44

Each point covers 2 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 · 2026-09-12 08:38 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
10Code-Reviewall changesets reviewed
10Contributorsproject has 14 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 18 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
2SASTSAST tool is not run on all commits -- score normalized to 2
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
6Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 17
RegistryPackageVersion constraintManifest
PyPIstrands-agents>=1.0.0pyproject.toml
PyPIrich>=14.0.0,<16.0.0pyproject.toml
PyPIsympy>=1.12.0,<2.0.0pyproject.toml
PyPIprompt_toolkit>=3.0.51,<4.0.0pyproject.toml
PyPIaws_requests_auth>=0.4.3,<0.5.0pyproject.toml
PyPIPyJWT>=2.10.1,<3.0.0pyproject.toml
PyPIdill>=0.4.0,<0.5.0pyproject.toml
PyPIpillow>=12.1.1,<13.0.0pyproject.toml
PyPItenacity>=9.1.2,<10.0.0pyproject.toml
PyPIwatchdog>=6.0.0,<7.0.0pyproject.toml
PyPIslack_bolt>=1.23.0,<2.0.0pyproject.toml
PyPImarkdownify>=1.0.0,<2.0.0pyproject.toml
PyPIrequests>=2.28.0,<3.0.0pyproject.toml
PyPIaiohttp>=3.8.0,<4.0.0pyproject.toml
PyPItyping_extensions>=4.5.0,<5.0.0pyproject.toml
PyPItzdata—pyproject.toml
PyPIbotocore>=1.39.7,<2.0.0pyproject.toml
All dependencies 45

Full resolved dependency set from the GitHub dependency graph: 16 direct and 29 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttp—direct
PyPIaws-requests-auth—direct
PyPIbotocore—direct
PyPIdill—direct
PyPImarkdownify—direct
PyPIpillow—direct
PyPIprompt-toolkit—direct
PyPIpyjwt—direct
PyPIrequests—direct
PyPIrich—direct
PyPIslack-bolt—direct
PyPIstrands-agents—direct
PyPIsympy—direct
PyPItenacity—direct
PyPItyping-extensions—direct
PyPIwatchdog—direct
PyPIa2a-sdk—indirect
PyPIbedrock-agentcore—indirect
PyPIcommitizen—indirect
PyPIdiagrams—indirect
PyPIelasticsearch—indirect
PyPIfeedparser—indirect
PyPIgraphviz—indirect
PyPIhatch—indirect
PyPIhtml2text—indirect
PyPImatplotlib—indirect
PyPImem0ai—indirect
PyPImypy—indirect
PyPInest-asyncio—indirect
PyPInetworkx—indirect
PyPIopencv-python—indirect
PyPIopensearch-py—indirect
PyPIplaywright—indirect
PyPIpre-commit—indirect
PyPIpsutil—indirect
PyPIpyautogui—indirect
PyPIpymongo—indirect
PyPIpytesseract—indirect
PyPIpytest—indirect
PyPIresponses—indirect
PyPIruff—indirect
PyPIsphinx—indirect
PyPIsphinx-autodoc-typehints—indirect
PyPIsphinx-rtd-theme—indirect
PyPItwelvelabs—indirect
Dependency advisories 0

Installing pypi:strands-agents-tools@0.8.8 pulls in 71 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.