Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-04 20:57 UTC

snowflakedb / snowpark-python

Snowflake Snowpark Python API

PythonApache-2.0★ 339 stars⑂ 153 forkssince Apr 2021View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

snowflakedb/snowpark-python holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Security (65/100). It was last updated today. 7 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-snowpark-python1.54.0-755 days agosnowflakedbdatabasecloudanalyticswarehouse

Metrics by category

Vitality

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

99Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
34.6/36Commit cadence50/52 weeks with commits
18/18Commit volume491 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year491
human_commit_share1
days_since_last_push0
active_weeks_last_year50

Release discipline

98Exceptional
How it's scored
27/27Ships releases79 releases published
36/36Release recencylatest release 5 days ago
27/27Release cadencea release every ~13.3 days
8/10OpenSSF Scorecard: Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count79
latest_release_tagv1.54.0
releases_from_tagsno
days_since_latest_release5
mean_days_between_releases13.3

Community & Adoption

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

71Good · 17% of overall
How it's scored
41/60Stars339 stars
18.2/25Forks153 forks
6.4/15Watchers15 watchers
Inputs used
forks153
stars339
watchers15
growth_stateorganic
growth_factor_pct100
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?

92Excellent · 23% of overall
How it's scored
51.3/54Bus factor7 contributor(s) cover half of all commits
19.8/22.5Commit distributiontop contributor authored 12% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor7
contributors_sampled100
top_contributor_share0.12
How it's scored
27.2/42Issue resolution65% of issues closed
25.8/30PR acceptance3,340/3,888 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs3,340
open_issues120
closed_issues220
prs_merged_7d5
prs_decided_7d6
prs_merged_30d20
prs_decided_30d23
issue_closed_ratio0.647
closed_unmerged_prs548
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
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 5 days ago
20/20Version history75 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagessnowflake-snowpark-python
ecosystemspypi
any_deprecatedno
min_days_since_publish5

Engineering Quality

Are baseline engineering and documentation practices in place?

78Good · 19% of overall
How it's scored
24/24CI workflows20 workflow(s)
24/24Tests present
16/16Linter configtox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics7 topics
10/10Wiki
Inputs used
topicsdataframe, python, sql, snowflake, data-analytics, data-engineering, data-science
has_wikiyes
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?

65Good · 16% of overall
How it's scored
4.5/7.5Binary-Artifactsbinaries present in source code
6/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
0/2.5CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
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 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
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
0/5Security-Policysecurity policy file not 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
6.8/7.5Vulnerabilities1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.5

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_packages31
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-snowpark-python@1.54.0 runtime dependency closure — what installing the published package pulls in — 31 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.

84Excellent · 4% of overall
How it's scored
45/45Agent instructions.cursorrules
0/15Machine-readable docs (llms.txt)
37.3/40Legible commit history70 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.7
agent_instruction_files.cursorrules
agent_instruction_max_bytes3,093
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configtox.ini
11/11Static type checkingmypy.ini, src/snowflake/snowpark/py.typed
10/10Reproducible environmentDockerfile
10/10Demonstrated agent practice8 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
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_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, src/snowflake/snowpark/py.typed
agent_commit_share0.08
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (mypy.ini, src/snowflake/snowpark/py.typed)
51/55Manageable file sizes64/881 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes1,082,400
source_files_sampled881
oversized_source_files64
How it's scored
40/40API schema (OpenAPI/GraphQL/proto)src/snowflake/snowpark/_internal/proto/ast.proto
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesnotebooks
Inputs used
example_dirsnotebooks
has_mcp_signalno
api_schema_filessrc/snowflake/snowpark/_internal/proto/ast.proto
interfaces_expected_of
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

339GitHub stars
100contributors
491commits, last 12 months
0days since last push
79releases
7bus factor
120open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-18: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 339 stars today.

More detail

Star and fork history 339 ★ / 153 ⇿
339Stars
153Forks
79Releases

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.

Star history is shown as collected on 2026-07-18. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

0125250375339151112021-062024-012026-07
Major 1Minor 64Patch 14

Each point covers 5 days.

OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 20:56 UTC

6Binary-Artifactsbinaries present in source code
8Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests0 out of 30 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update 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
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
All dependencies 25

Full resolved dependency set from the GitHub dependency graph: 0 direct and 25 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcloudpickleindirect
PyPImatplotlibindirect
PyPImypy-protobufindirect
PyPInbmakeindirect
PyPInumpyindirect
PyPInumpy1.26.3indirect
PyPInumpy2.3.5indirect
PyPIoracledbindirect
PyPIpandas2.2.1indirect
PyPIpandas2.3.3indirect
PyPIprotobufindirect
PyPIpsutilindirect
PyPIpyodbcindirect
PyPIpytestindirect
PyPIpython-dateutilindirect
PyPIpyyamlindirect
PyPIpyyaml6.0indirect
PyPIscikit-fuzzy0.4.2indirect
PyPIscikit-learnindirect
PyPIseabornindirect
PyPIsetuptoolsindirect
PyPIsnowflake-connector-pythonindirect
PyPItyping-extensionsindirect
PyPItzlocalindirect
PyPIwheelindirect
Dependency advisories 0

Installing pypi:snowflake-snowpark-python@1.54.0 pulls in 31 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.