Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-04 20:10 UTC

snowflakedb / snowflake-connector-python

Snowflake Connector for Python

Python · CApache-2.0★ 726 stars⑂ 568 forkssince Jun 2016View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

snowflakedb/snowflake-connector-python holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (97/100) and lowest on AI Readiness (67/100). It was last updated today. 3 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 83 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

SnowflakeOrganization
1,619 followers63 public repossince Jan 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIsnowflake-connector-python4.7.1-17920 days agosnowflakedbdatabasecloudanalyticswarehouse

Metrics by category

Vitality

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

97Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
31.8/36Commit cadence46/52 weeks with commits
18/18Commit volume242 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year242
human_commit_share1
days_since_last_push0
active_weeks_last_year46

Release discipline

98Exceptional
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 20 days ago
27/27Release cadencea release every ~26.5 days
8/10OpenSSF Scorecard: Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count100
latest_release_tagv3.18.1
releases_from_tagsno
days_since_latest_release20
mean_days_between_releases26.5

Community & Adoption

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

78Good · 17% of overall
How it's scored
46.4/60Stars726 stars
22.9/25Forks568 forks
8.8/15Watchers39 watchers
Inputs used
forks568
stars726
watchers39
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

88Excellent · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
17.7/22.5Commit distributiontop contributor authored 21% of commits
13.5/13.5Contributor breadth99 contributors
10/10OpenSSF Scorecard: Contributorsproject has 5 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled99
top_contributor_share0.212
How it's scored
37.2/42Issue resolution88% of issues closed
21.8/30PR acceptance1,516/2,085 decided PRs merged
6.5/13Newcomer PR acceptance2/4 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs1,516
open_issues100
closed_issues768
prs_merged_7d3
prs_decided_7d3
prs_merged_30d38
prs_decided_30d44
issue_closed_ratio0.885
closed_unmerged_prs569
first_time_authors_30d3
first_time_prs_merged_30d2
first_time_prs_decided_30d4
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
23.1/25Owner reach1,619 followers of snowflakedb
25/25Track record63 public repos, account ~12 yr old
Inputs used
followers1,619
owner_typeOrganization
is_verified
owner_loginsnowflakedb
public_repos63
account_age_days4,579
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 20 days ago
20/20Version history179 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagessnowflake-connector-python
ecosystemspypi
any_deprecatedno
min_days_since_publish20

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall
How it's scored
24/24CI workflows11 workflow(s)
24/24Tests present
16/16Linter configtox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests24 out of 30 merged PRs checked by a CI test -- score normalized to 8
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 sitehttps://pypi.python.org/pypi/snowflake-connector-python/
10/10Repository description
10/10Topics3 topics
0/10Wiki
Inputs used
topicspython, sql, database
has_wikino
homepagehttps://pypi.python.org/pypi/snowflake-connector-python/
docs_sitehttps://pypi.python.org/pypi/snowflake-connector-python/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

69Good · 16% of overall
How it's scored
0/7.5Binary-Artifactsbinaries present in source code
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2/2.5CI-Tests24 out of 30 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
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 5 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
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
4.5/5Security-Policysecurity policy file detected
6/7.5Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.1
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 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_packages24
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:snowflake-connector-python@4.7.1 runtime dependency closure — what installing the published package pulls in — 24 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.

67Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history76 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.76
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configtox.ini
11/11Static type checkingmypy.ini, src/snowflake/connector/py.typed, src/snowflake/connector/vendored/urllib3/py.typed
10/10Reproducible environmentDockerfile
10/10Demonstrated agent practice38 of the last 100 commits agent-authored or agent-credited
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, src/snowflake/connector/py.typed, src/snowflake/connector/vendored/urllib3/py.typed
agent_commit_share0.38
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (mypy.ini, src/snowflake/connector/py.typed, src/snowflake/connector/vendored/urllib3/py.typed)
53.7/55Manageable file sizes14/599 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes1,616,562
source_files_sampled599
oversized_source_files14
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

726GitHub stars
99contributors
242commits, last 12 months
0days since last push
100releases
3bus factor
100open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'snowflake.connector.nanoarrow_arrow_iterator' from its registry
  • Could not fetch pypi package 'snowflake_prober' from its registry

More detail

Star and fork history 0 ★ / 568 ⇿
0Stars
568Forks
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.

010020030040050060055972017-022021-102026-07
Major 2Minor 31Patch 64

Each point covers 9 days.

OpenSSF Scorecard 6.1 / 10
6.1aggregate

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 · 2026-08-04 20:09 UTC

0Binary-Artifactsbinaries present in source code
5Branch-Protectionbranch protection is not maximal on development and all release branches
8CI-Tests24 out of 30 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 5 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 0 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
0SASTSAST tool is not run on all commits -- score normalized to 0
9Security-Policysecurity policy file detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 15
RegistryPackageVersion constraintManifest
PyPIasn1crypto>0.24.0,<2.0.0setup.cfg
PyPIcryptography>=46.0.5setup.cfg
PyPIpyOpenSSL>=24.0.0setup.cfg
PyPIpyjwt>=2.10.1,<3.0.0setup.cfg
PyPIpytzsetup.cfg
PyPIrequests>=2.32.4,<3.0.0setup.cfg
PyPIpackagingsetup.cfg
PyPIcharset_normalizer>=2,<4setup.cfg
PyPIidna>=3.7,<4setup.cfg
PyPIcertifi>=2024.7.4setup.cfg
PyPItyping_extensions>=4.3,<5setup.cfg
PyPIfilelock>=3.5,<4setup.cfg
PyPIsortedcontainers>=2.4.0setup.cfg
PyPIplatformdirs>=2.6.0,<5.0.0setup.cfg
PyPItomlkitsetup.cfg
All dependencies 43

Full resolved dependency set from the GitHub dependency graph: 10 direct and 33 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIasn1crypto1.4.0direct
PyPIcertifi2020.4.5.1direct
PyPIcertifi2020.6.20direct
PyPIcryptography2.9.2direct
PyPIidna2.9direct
PyPIpyjwt1.7.1direct
PyPIpyopenssl19.1.0direct
PyPIpytz2020.1direct
PyPIrequestsdirect
PyPIrequests2.23.0direct
PyPIaiohttpindirect
PyPIasyncioindirect
PyPIauditwheel3.1.1indirect
PyPIazure-common1.1.25indirect
PyPIazure-core1.8.0indirect
PyPIazure-storage-blob12.4.0indirect
PyPIazure-storage-blob2.1.0indirect
PyPIazure-storage-common2.1.0indirect
PyPIboto31.14.47indirect
PyPIbotocore1.17.47indirect
PyPIcffi1.14.2indirect
PyPIchardet3.0.4indirect
PyPIcythonindirect
PyPIdocutils0.15.2indirect
PyPIfakerindirect
PyPIisodate0.6.0indirect
PyPIjmespath0.10.0indirect
PyPImatplotlibindirect
PyPImsrest0.6.18indirect
PyPIoauthlib3.1.0indirect
PyPIoscrypto1.2.1indirect
PyPIpandasindirect
PyPIpsutilindirect
PyPIpycparser2.20indirect
PyPIpycryptodomex3.9.8indirect
PyPIpyelftools0.26indirect
PyPIpython-dateutil2.8.1indirect
PyPIrequests-oauthlib1.3.0indirect
PyPIs3transfer0.3.3indirect
PyPIsetuptoolsindirect
PyPIsix1.15.0indirect
PyPIsnowflake-connector-pythonindirect
PyPIurllib31.25.10indirect
Dependency advisories 0

Installing pypi:snowflake-connector-python@4.7.1 pulls in 24 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.