Public record
Software health reportschema 0.31.0 · metrics 2.5.0 · 2026-08-08 19:03 UTC

Azure / azure-kusto-python

Kusto client libraries for Python

PythonMIT★ 204 stars⑂ 116 forkssince Oct 2017View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#kusto#python#azure-data-explorer#sdk

Azure/azure-kusto-python holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Sustainability & Governance (79/100) and lowest on AI Readiness (55/100). It was last updated 5 days ago. 2 contributors account for most of its recent work.

78
overall / 100
Good

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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

Microsoft AzureOrganization
15,148 followers2,727 public repossince Mar 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIquick-startpoints to another repo — not scored0.0.dev101,23792544 days agoquickstartproject
PyPIazure-kusto-data6.0.4-9594 days agoazurekustodataanalytics
PyPIazure-kusto-ingest6.0.4-9594 days agoazurekustoingestdataanalytics

Metrics by category

Vitality

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

62Moderate · 21% of overall

Development activity

54Moderate
How it's scored
36/36Push recency — last push 5 days ago
5.5/36Commit cadence — 8/52 weeks with commits
12.7/18Commit volume — 25 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year25
human_commit_share0.99
days_since_last_push5
active_weeks_last_year8

Release discipline

74Good
How it's scored
27/27Ships releases — 89 releases published
27/36Release recency — latest release 94 days ago
19.8/27Release cadence — a release every ~46.7 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count89
latest_release_tagv6.0.4
releases_from_tagsno
days_since_latest_release94
mean_days_between_releases46.7

Community & Adoption

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

76Good · 17% of overall

Popularity & adoption

62Moderate
How it's scored
37.4/60Stars — 204 stars
17.2/25Forks — 116 forks
7/15Watchers — 19 watchers
Inputs used
forks116
stars204
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 (MIT)
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_badges2
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io
has_pull_request_templateyes

Sustainability & Governance

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

79Good · 23% of overall

Maintainer resilience (bus factor)

62Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.3/22.5Commit distribution — top contributor authored 41% of commits
13.5/13.5Contributor breadth — 42 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled42
top_contributor_share0.409

Issue & PR responsiveness

82Excellent
How it's scored
40.8/42Issue resolution — 97% of issues closed
24.9/30PR acceptance — 355/428 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
6/15OpenSSF Scorecard: Code-Review — Found 12/29 approved changesets -- score normalized to 4
Inputs used
merged_prs355
open_issues6
closed_issues203
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.971
closed_unmerged_prs73
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.

Ownership & stewardship

80Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 15,148 followers of Azure
25/25Track record — 2,727 public repos, account ~12 yr old
Inputs used
followers15,148
owner_typeOrganization
is_verified—
owner_loginAzure
public_repos2,727
account_age_days4,540

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on pypi
35/35Publish recency — latest publish 94 days ago
20/20Version history — 95 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesazure-kusto-data, azure-kusto-ingest
ecosystemspypi
any_deprecatedno
min_days_since_publish94

Engineering Quality

Are baseline engineering and documentation practices in place?

64Moderate · 19% of overall

Engineering practices

66Good
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 24 out of 25 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

60Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicskusto, python, azure-data-explorer, sdk
has_wikiyes
homepage—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

56Moderate · 16% of overall

Security posture

51Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 24 out of 25 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5Code-Review — Found 12/29 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 5 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
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4.5/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 30 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): branch_protection. Remaining weights renormalized.

Dependency advisories

74Good
How it's scored
14.8/35Direct dependencies free of known advisories — 1 affected: click 7.0.0 (high 7.2)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
33.9/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 100 days ago
Inputs used
sourceosv
advisories1
affected_packages1
assessed_packages2
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages1
Matched the pypi:quick-start@0.0.dev10 runtime dependency closure — what installing the published package pulls in — 2 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.

55Moderate · 4% of overall

Agent context & guidance

33At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
33.4/40Legible commit history — 62 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.626
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

61Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — azure-kusto-data/azure/kusto/data/py.typed, azure-kusto-ingest/azure/kusto/ingest/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 5 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 1 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_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configsazure-kusto-data/azure/kusto/data/py.typed, azure-kusto-ingest/azure/kusto/ingest/py.typed
agent_commit_share0.05
toolchain_manifests—
dependency_bot_commit_share0.01

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (azure-kusto-data/azure/kusto/data/py.typed, azure-kusto-ingest/azure/kusto/ingest/py.typed)
55/55Manageable file sizes — 0/83 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes31,773
source_files_sampled83
oversized_source_files0

Key facts

204GitHub stars
42contributors
25commits, last 12 months
5days since last push
89releases
2bus factor
6open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'azure-kusto-python' from its registry
  • pypi package 'quick-start' points at a different repository (http://github.com/andreztz/quick-start); excluded from ecosystem scoring

More detail

Star and fork history 0 ★ / 116 ⇿
0Stars
116Forks
89Releases

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.

02040608010012011632018-042022-062026-08
Major 6Minor 10Patch 73

Each point covers 8 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-08-08 19:02 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
9CI-Tests24 out of 25 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 12/29 approved changesets -- score normalized to 4
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
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
9SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities30 existing vulnerabilities detected
Direct dependencies 20
RegistryPackageVersion constraintManifest
PyPIpython-dateutil>=2.9.0azure-kusto-data/pyproject.toml
PyPIrequests>=2.32.4azure-kusto-data/pyproject.toml
PyPIazure-identity>=1.25.3,<2azure-kusto-data/pyproject.toml
PyPImsal>=1.35.1,<2azure-kusto-data/pyproject.toml
PyPIijson~=3.4.0azure-kusto-data/pyproject.toml
PyPIazure-core>=1.35.0,<2azure-kusto-data/pyproject.toml
PyPIazure-kusto-data—azure-kusto-ingest/pyproject.toml
PyPIazure-storage-blob==12.26.0azure-kusto-ingest/pyproject.toml
PyPIazure-storage-queue==12.13.0azure-kusto-ingest/pyproject.toml
PyPItenacity>=9.1.2azure-kusto-ingest/pyproject.toml
PyPIazure-kusto-data—pyproject.toml
PyPIazure-kusto-ingest—pyproject.toml
PyPIquick-start—pyproject.toml
PyPIazure-kusto-data—quick-start/pyproject.toml
PyPIazure-kusto-ingest—quick-start/pyproject.toml
PyPIazure-core-tracing-opentelemetry~= 1.0.0b12quick-start/pyproject.toml
PyPIazure-monitor-opentelemetry-exporter~= 1.0.0b41quick-start/pyproject.toml
PyPIinflection~= 0.5.1quick-start/pyproject.toml
PyPIopentelemetry-sdk~= 1.36.0quick-start/pyproject.toml
PyPItqdm~= 4.67.1quick-start/pyproject.toml
All dependencies 93

Full resolved dependency set from the GitHub dependency graph: 31 direct and 62 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIazure-core—direct
PyPIazure-core1.39.0direct
PyPIazure-core-tracing-opentelemetry—direct
PyPIazure-core-tracing-opentelemetry1.0.0b12direct
PyPIazure-identity—direct
PyPIazure-identity1.24.0direct
PyPIazure-kusto-data—direct
PyPIazure-kusto-data6.0.3direct
PyPIazure-kusto-ingest—direct
PyPIazure-kusto-ingest6.0.3direct
PyPIazure-monitor-opentelemetry-exporter—direct
PyPIazure-monitor-opentelemetry-exporter1.0.0b41direct
PyPIazure-storage-blob12.26.0direct
PyPIazure-storage-queue12.13.0direct
PyPIijson—direct
PyPIijson3.4.0direct
PyPIinflection—direct
PyPIinflection0.5.1direct
PyPImsal—direct
PyPImsal1.34.0b1direct
PyPIopentelemetry-sdk—direct
PyPIopentelemetry-sdk1.36.0direct
PyPIpython-dateutil—direct
PyPIpython-dateutil2.9.0.post0direct
PyPIquick-start6.0.3direct
PyPIrequests—direct
PyPIrequests2.32.4direct
PyPItenacity—direct
PyPItenacity9.1.2direct
PyPItqdm—direct
PyPItqdm4.67.1direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp—indirect
PyPIaiohttp3.13.4indirect
PyPIaioresponses0.7.8indirect
PyPIaiosignal1.4.0indirect
PyPIasgiref—indirect
PyPIasgiref3.9.1indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs25.3.0indirect
PyPIazure-kusto-python6.0.3indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbasedpyright1.31.2indirect
PyPIcertifi2025.8.3indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.3indirect
PyPIcolorama0.4.6indirect
PyPIcryptography46.0.6indirect
PyPIexceptiongroup1.3.0indirect
PyPIexecnet2.1.1indirect
PyPIfixedint0.1.6indirect
PyPIfrozenlist1.7.0indirect
PyPIidna3.10indirect
PyPIimportlib-metadata8.7.0indirect
PyPIiniconfig2.1.0indirect
PyPIisodate0.7.2indirect
PyPIjinja23.1.6indirect
PyPImarkupsafe3.0.2indirect
PyPImsal-extensions1.3.1indirect
PyPImsrest0.7.1indirect
PyPImultidict6.6.4indirect
PyPInodejs-wheel-binaries22.18.0indirect
PyPInumpy2.0.2indirect
PyPIoauthlib3.3.1indirect
PyPIopentelemetry-api1.36.0indirect
PyPIopentelemetry-semantic-conventions0.57b0indirect
PyPIpackaging25.0indirect
PyPIpandas—indirect
PyPIpandas2.3.1indirect
PyPIpdoc15.0.4indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.3.2indirect
PyPIpsutil7.0.0indirect
PyPIpycparser2.22indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.12.1indirect
PyPIpytest8.4.1indirect
PyPIpytest-asyncio1.1.0indirect
PyPIpytest-xdist—indirect
PyPIpytest-xdist3.8.0indirect
PyPIpytz2025.2indirect
PyPIpyyaml6.0.2indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIresponses0.25.8indirect
PyPIruff0.12.9indirect
PyPIsix1.17.0indirect
PyPItomli2.2.1indirect
PyPItyping-extensions4.14.1indirect
PyPItzdata2025.2indirect
PyPIurllib32.6.3indirect
PyPIuv-build—indirect
PyPIyarl1.20.1indirect
PyPIzipp3.23.0indirect
Dependency advisories 1

Installing pypi:quick-start@0.0.dev10 pulls in 2 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
click7.0.0directhigh18.3.3

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

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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 v2.5.0, schema v0.31.0 — full methodology · metrics wiki.

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