Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 23:55 UTC

aws / aws-sdk-pandas

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

Python · Jupyter NotebookApache-2.0★ 4,116 stars⑂ 739 forkssince Feb 2019View on GitHub ↗
KindLibraryhow this is determined
#python#aws#pandas#apache-arrow#apache-parquet#data-engineering#etl#data-science#redshift#athena#lambda#aws-lambda#aws-glue#emr#amazon-athena#glue-catalog#mysql#amazon-sagemaker-notebook#modin#ray

aws/aws-sdk-pandas holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Community & Adoption (92/100) and lowest on AI Readiness (71/100). It was last updated 4 days ago. 2 contributors account for most of its recent work.

96
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.

96
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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

Amazon Web ServicesOrganization
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
PyPIawswrangler3.17.1-1679 days agoawspandas

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

88Excellent
How it's scored
36/36Push recency — last push 4 days ago
23.5/36Commit cadence — 34/52 weeks with commits
18/18Commit volume — 137 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year137
human_commit_share0.47
days_since_last_push4
active_weeks_last_year34

Release discipline

83Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 9 days ago
19.8/27Release cadence — a release every ~47.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tag3.17.1
releases_from_tagsno
days_since_latest_release9
mean_days_between_releases47.9

Community & Adoption

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

92Excellent · 17% of overall

Popularity & adoption

92Excellent
How it's scored
58.6/60Stars — 4,116 stars
23.9/25Forks — 739 forks
9.6/15Watchers — 55 watchers
Inputs used
forks739
stars4,116
watchers55
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_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, readthedocs.org, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

82Excellent · 23% of overall

Maintainer resilience (bus factor)

61Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.6/22.5Commit distribution — top contributor authored 44% of commits
13.5/13.5Contributor breadth — 99 contributors
10/10OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled99
top_contributor_share0.44

Issue & PR responsiveness

76Good
How it's scored
40.9/42Issue resolution — 98% of issues closed
20.8/30PR acceptance — 1,426/2,055 decided PRs merged
5.6/13Newcomer PR acceptance — 3/7 first-time contributors' PRs merged in 30d
9/15OpenSSF Scorecard: Code-Review — Found 7/11 approved changesets -- score normalized to 6
Inputs used
merged_prs1,426
open_issues32
closed_issues1,231
prs_merged_7d0
prs_decided_7d1
prs_merged_30d7
prs_decided_30d14
issue_closed_ratio0.975
closed_unmerged_prs629
first_time_authors_30d4
first_time_prs_merged_30d3
first_time_prs_decided_30d7

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
25/25Owner reach — 16,374 followers of aws
25/25Track record — 554 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 & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 9 days ago
20/20Version history — 167 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesawswrangler
ecosystemspypi
any_deprecatedno
min_days_since_publish9

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 12 workflow(s)
24/24Tests present
16/16Linter config — tox.ini
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://aws-sdk-pandas.readthedocs.io
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicspython, aws, pandas, apache-arrow, apache-parquet, data-engineering, etl, data-science, redshift, athena, lambda, aws-lambda, aws-glue, emr, amazon-athena, glue-catalog, mysql, amazon-sagemaker-notebook, modin, ray
has_wikino
homepagehttps://aws-sdk-pandas.readthedocs.io
docs_sitehttps://aws-sdk-pandas.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

74Good · 16% of overall

Security posture

68Good
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
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
4.5/7.5Code-Review — Found 7/11 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 10 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 1 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
5/5SAST — SAST tool detected
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
5.2/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.8

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_packages13
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:awswrangler@3.17.1 runtime dependency closure — what installing the published package pulls in — 13 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.

71Good · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 47 of 47 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

80Excellent
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — tox.ini
11/11Static type checking — awswrangler/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 53 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_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsawswrangler/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.53

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (awswrangler/py.typed)
54.5/55Manageable file sizes — 2/230 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes82,742
source_files_sampled230
oversized_source_files2

Machine-readable interfaces

100Exceptional
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 — notebooks
Inputs used
example_dirsnotebooks
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

4,116GitHub stars
99contributors
137commits, last 12 months
4days since last push
100releases
2bus factor
32open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'awswrangler-test-infrastructure' from its registry

More detail

Star and fork history 0 ★ / 739 ⇿
0Stars
739Forks
99Releases

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.

0125250375500625750727122019-052022-122026-07
Major 3Minor 48Patch 39

Each point covers 7 days.

OpenSSF Scorecard 6.8 / 10
6.8aggregate

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 23:54 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/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
6Code-ReviewFound 7/11 approved changesets -- score normalized to 6
10Contributorsproject has 10 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 1 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
10SASTSAST tool detected
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
7Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
PyPIboto3>=1.20.32,<2pyproject.toml
PyPIbotocore>=1.23.32,<2pyproject.toml
PyPIpandas>=1.2.0,<4.0.0pyproject.toml
PyPInumpy>=1.26,<3.0pyproject.toml
PyPIpyarrow>=8.0.0,<26.0.0pyproject.toml
PyPItyping-extensions>=4.4.0,<5pyproject.toml
PyPIpackaging>=21.1,<27.0pyproject.toml
PyPIsetuptools—pyproject.toml
PyPIaws-cdk-lib>=2.253.0,<3test_infra/pyproject.toml
PyPIaws-cdk.aws-glue-alpha>=2.188.0a0,<3test_infra/pyproject.toml
PyPIaws-cdk.aws-neptune-alpha>=2.188.0a0,<3test_infra/pyproject.toml
PyPIaws-cdk.aws-redshift-alpha>=2.188.0a0,<3test_infra/pyproject.toml
PyPIpackaging>=21.1,<25.0test_infra/pyproject.toml
PyPIsetuptools—test_infra/pyproject.toml
All dependencies 321

Full resolved dependency set from the GitHub dependency graph: 16 direct and 305 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIpydot4.0.1indirect
PyPIpygments2.20.0indirect
PyPIpyiceberg0.11.0indirect
PyPIpyiceberg-core0.8.0indirect
PyPIpymysql1.2.0indirect
PyPIpyodbc5.3.0indirect
PyPIpyogrio0.12.1indirect
PyPIpyparsing3.3.2indirect
PyPIpyproj3.7.1indirect
PyPIpyproject-api1.10.0indirect
PyPIpyroaring1.0.3indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-rerunfailures16.4indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.1.3indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-json-logger4.0.0indirect
PyPIpython-utils3.9.1indirect
PyPIpytz2026.1.post1indirect
PyPIpywinpty3.0.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIquestionary2.1.1indirect
PyPIray2.56.0indirect
PyPIrdflib7.6.0indirect
PyPIredshift-connector2.1.15indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrequests-aws4auth1.3.2indirect
PyPIresponses0.26.0indirect
PyPIrestructuredtext-lint2.0.2indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich14.3.3indirect
PyPIrich-click1.9.7indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.15.21indirect
PyPIs3fs2026.6.0indirect
PyPIs3transfer0.16.0indirect
PyPIscramp1.4.8indirect
PyPIsend2trash2.1.0indirect
PyPIshapely2.1.2indirect
PyPIsix1.17.0indirect
PyPIsmart-open7.5.1indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsoupsieve2.8.4indirect
PyPIsparqlwrapper2.0.0indirect
PyPIsphinx7.1.2indirect
PyPIsphinx8.1.3indirect
PyPIsphinx-autodoc-typehints—indirect
PyPIsphinx-autodoc-typehints3.0.1indirect
PyPIsphinx-bootstrap-theme—indirect
PyPIsphinx-bootstrap-theme0.8.1indirect
PyPIsphinx-copybutton—indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIstevedore5.7.0indirect
PyPIstrictyaml1.7.3indirect
PyPItenacity9.1.4indirect
PyPIterminado0.18.1indirect
PyPItinycss21.4.0indirect
PyPItomli2.4.0indirect
PyPItomlkit0.14.0indirect
PyPItornado6.5.7indirect
PyPItox4.35.0indirect
PyPItox-uv1.28.1indirect
PyPItraitlets5.14.3indirect
PyPItruststore0.10.4indirect
PyPItypeguard2.13.3indirect
PyPItypes-awscrt0.31.3indirect
PyPItypes-s3transfer0.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIuv0.11.15indirect
PyPIvirtualenv21.2.0indirect
PyPIwcmatch10.1indirect
PyPIwcwidth0.6.0indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwerkzeug3.1.6indirect
PyPIwheel0.47.0indirect
PyPIwrapt2.1.2indirect
PyPIxmltodict1.0.4indirect
PyPIyarl1.23.0indirect
PyPIzipp3.21.0indirect
PyPIzipp3.23.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:awswrangler@3.17.1 pulls in 13 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.

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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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.