Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 21:14 UTC

aws / chalice

Python Serverless Microframework for AWS

PythonApache-2.0★ 11,065 stars⑂ 1,011 forkssince May 2016View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

aws/chalice holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (95/100) and lowest on Vitality (58/100). It was last updated today. A single contributor accounts 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

16,374 followers554 public repossince Aug 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIchalice1.33.0-9697 days agochalice

Metrics by category

Vitality

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

58Moderate · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
4.2/36Commit cadence6/52 weeks with commits
11.1/18Commit volume16 commits in the last year
4/10OpenSSF Scorecard: Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
Inputs used
commits_last_year16
human_commit_share0.91
days_since_last_push0
active_weeks_last_year6
How it's scored
16.2/27Ships releases94 version tags (no GitHub releases)
27/36Release recencylatest release 97 days ago
12.6/27Release cadencea release every ~128.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count94
latest_release_tag1.33.0
releases_from_tagsyes
days_since_latest_release97
mean_days_between_releases128.3
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?

95Exceptional · 17% of overall
How it's scored
60/60Stars11,065 stars
25/25Forks1,011 forks
13.1/15Watchers227 watchers
Inputs used
forks1,011
stars11,065
watchers227
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_servicesreadthedocs.org, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

72Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
5.8/22.5Commit distributiontop contributor authored 74% of commits
13.5/13.5Contributor breadth98 contributors
10/10OpenSSF Scorecard: Contributorsproject has 24 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled98
top_contributor_share0.742
How it's scored
28/42Issue resolution67% of issues closed
23/30PR acceptance652/851 decided PRs merged
0/13Newcomer PR acceptance0/2 first-time contributors' PRs merged in 30d
12/15OpenSSF Scorecard: Code-ReviewFound 13/16 approved changesets -- score normalized to 8
Inputs used
merged_prs652
open_issues418
closed_issues832
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d2
issue_closed_ratio0.666
closed_unmerged_prs199
first_time_authors_30d2
first_time_prs_merged_30d0
first_time_prs_decided_30d2
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
25/25Owner reach16,374 followers of aws
25/25Track record554 public repos, account ~13 yr old
Inputs used
followers16,374
owner_typeOrganization
is_verified
owner_loginaws
public_repos554
account_age_days5,097
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 97 days ago
20/20Version history96 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packageschalice
ecosystemspypi
any_deprecatedno
min_days_since_publish97

Engineering Quality

Are baseline engineering and documentation practices in place?

78Good · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter config.pylintrc
0/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests15 out of 18 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics10 topics
0/10Wiki
Inputs used
topicspython, aws, aws-lambda, cloud, serverless, serverless-framework, aws-apigateway, lambda, python3, python27
has_wikino
homepage
docs_site
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-Artifactsno binaries found in the repo
4.5/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2/2.5CI-Tests15 out of 18 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6/7.5Code-ReviewFound 13/16 approved changesets -- score normalized to 8
2.5/2.5Contributorsproject has 24 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
3/7.5Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
0/5Packagingno data
1.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
2/5SASTSAST tool is not run on all commits -- score normalized to 4
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
6.8/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities22 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.6
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 advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages19
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:chalice@1.33.0 runtime dependency closure — what installing the published package pulls in — 19 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.

63Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
24/40Legible commit history41 of 91 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.451
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile
22/22Automated tests
11/11Lint / format config.pylintrc
11/11Static type checkingchalice/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance9 of the last 100 commits are automated dependency updates
3/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configschalice/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.09
How it's scored
27/45Type-checkable codePython with type-check config (chalice/py.typed)
51.4/55Manageable file sizes9/137 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes582,376
source_files_sampled137
oversized_source_files9
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplessamples
Inputs used
example_dirssamples
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

11,065GitHub stars
98contributors
16commits, last 12 months
0days since last push
94releases
1bus factor
418open 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 ★ / 1,011 ⇿
0Stars
1,011Forks
93Releases

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.

02004006008001,0001,2001,011252016-072021-072026-07
Major 1Minor 43Patch 49

Each point covers 10 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 · 2026-08-12 21:13 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
8CI-Tests15 out of 18 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 13/16 approved changesets -- score normalized to 8
10Contributorsproject has 24 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
4Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
n/aPackagingpackaging workflow not detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
4SASTSAST tool is not run on all commits -- score normalized to 4
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities22 existing vulnerabilities detected
All dependencies 86

Full resolved dependency set from the GitHub dependency graph: 0 direct and 86 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalabaster1.0.0indirect
PyPIast-serialize0.3.0indirect
PyPIastroid3.3.11indirect
PyPIaws-cdk-aws-iamindirect
PyPIaws-cdk-aws-s3-assetsindirect
PyPIaws-cdk-cloudformation-includeindirect
PyPIaws-cdk-coreindirect
PyPIaws-cdk-libindirect
PyPIbabel2.18.0indirect
PyPIboto3indirect
PyPIboto31.27.0indirect
PyPIboto31.38.15indirect
PyPIboto31.43.5indirect
PyPIbotocoreindirect
PyPIbotocore1.30.0indirect
PyPIbotocore1.43.5indirect
PyPIcertifi2026.4.22indirect
PyPIchaliceindirect
PyPIchalice1.29.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclickindirect
PyPIcoverage7.13.5indirect
PyPIdill0.4.1indirect
PyPIdoc81.1.2indirect
PyPIdocutils0.21.2indirect
PyPIexceptiongroup1.3.1indirect
PyPIflake87.3.0indirect
PyPIhypothesis6.152.4indirect
PyPIidna3.13indirect
PyPIimagesize2.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIinquirerindirect
PyPIisort6.1.0indirect
PyPIjinja23.1.6indirect
PyPIjmespathindirect
PyPIjmespath1.1.0indirect
PyPIlibrt0.10.0indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImypy2.0.0indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIpipindirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIpycodestyle2.14.0indirect
PyPIpydocstyle6.3.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.7.0indirect
PyPIpylint3.3.9indirect
PyPIpytestindirect
PyPIpytest7.4.0indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyyamlindirect
PyPIrequests2.33.1indirect
PyPIrestructuredtext-lint2.0.2indirect
PyPIs3transfer0.17.0indirect
PyPIsetuptoolsindirect
PyPIsixindirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsphinx8.1.3indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstandard-imghdr3.13.0indirect
PyPIstevedore5.7.0indirect
PyPItomli2.4.1indirect
PyPItomlkit0.14.0indirect
PyPItypes-python-dateutil2.9.0.20260408indirect
PyPItypes-pyyaml6.0.12.20260408indirect
PyPItypes-six1.17.0.20260408indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.7.0indirect
PyPIwatchdog2.3.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwheelindirect
PyPIwheel0.47.0indirect
Dependency advisories 0

Installing pypi:chalice@1.33.0 pulls in 19 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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.