Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-20 06:58 UTC

BingAds / BingAds-Python-SDK

PythonCustom license★ 128 stars⑂ 161 forkssince Mar 2015View on GitHub ↗
KindLibraryhow this is determined

BingAds/BingAds-Python-SDK holds a health index of 53 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (73/100) and lowest on Security (1/100). It was last updated 50 days ago. 2 contributors account for most of its recent work.

53
overall / 100
Moderate

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.

53
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 52 is calibrated to 53 on the published index scale (record calibration 2026-08-02).

Ownership

Microsoft AdvertisingOrganization
26 followers7 public repossince Jul 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImsads13.0.2992,2611550 days agobingads

Metrics by category

Vitality

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

63Moderate · 21% of overall

Development activity

39Weak
How it's scored
18/36Push recency — last push 50 days ago
5.5/36Commit cadence — 8/52 weeks with commits
11.9/18Commit volume — 20 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year20
human_commit_share1
days_since_last_push50
active_weeks_last_year8

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 91 releases published
36/36Release recency — latest release 50 days ago
27/27Release cadence — a release every ~42.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count91
latest_release_tagv13.0.29
releases_from_tagsno
days_since_latest_release50
mean_days_between_releases42.2

Community & Adoption

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

59Moderate · 17% of overall

Popularity & adoption

58Moderate
How it's scored
34.1/60Stars — 128 stars
18.4/25Forks — 161 forks
6/15Watchers — 13 watchers
Inputs used
forks161
stars128
watchers13
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

44Weak
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

83Excellent
How it's scored
66.2/80Monthly downloads — 92,261 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmsads
dependents—
ecosystemspypi
total_downloads—
monthly_downloads92,261
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

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

73Good · 23% of overall

Maintainer resilience (bus factor)

60Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
15.1/22.5Commit distribution — top contributor authored 33% of commits
13.5/13.5Contributor breadth — 12 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor2
contributors_sampled12
top_contributor_share0.329

Issue & PR responsiveness

80Excellent
How it's scored
33.8/42Issue resolution — 80% of issues closed
23.8/30PR acceptance — 89/112 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs89
open_issues42
closed_issues173
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.805
closed_unmerged_prs23
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

59Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.3/25Owner reach — 26 followers of BingAds
18.6/25Track record — 7 public repos, account ~12 yr old
Inputs used
followers26
owner_typeOrganization
is_verifiedno
owner_loginBingAds
public_repos7
account_age_days4,456

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 50 days ago
20/20Version history — 15 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmsads
ecosystemspypi
any_deprecatedno
min_days_since_publish50

Engineering Quality

Are baseline engineering and documentation practices in place?

51Moderate · 19% of overall

Engineering practices

58Moderate
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config — tox.ini
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_cino
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

40Weak
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionno

Security

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

1Critical · 16% of overall

Security posture

1Critical
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestsrequirements.txt, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

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.

52Moderate · 4% of overall

Agent context & guidance

16Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
16.5/40Legible commit history — 31 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.31
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

49Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — tox.ini
11/11Static type checking — openapi_client/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsopenapi_client/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (openapi_client/py.typed)
54.8/55Manageable file sizes — 8/1,784 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes2,236,880
source_files_sampled1,784
oversized_source_files8

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 — examples
Inputs used
example_dirsexamples
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

128GitHub stars
12contributors
20commits, last 12 months
50days since last push
91releases
2bus factor
42open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • No resolved dependencies carried a version and a supported ecosystem
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 161 ⇿
0Stars
161Forks
87Releases

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.

0408012016016032015-042020-102026-05
Major 0Minor 0Patch 63

Each point covers 11 days.

All dependencies 17

Full resolved dependency set from the GitHub dependency graph: 0 direct and 17 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcoverage—indirect
PyPIenum34—indirect
PyPIflake8—indirect
PyPImock—indirect
PyPImypy—indirect
PyPIpydantic—indirect
PyPIpydantic-core—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpython-dateutil—indirect
PyPIrequests—indirect
PyPIsetuptools—indirect
PyPIsphinx—indirect
PyPItox—indirect
PyPItypes-python-dateutil—indirect
PyPItyping-extensions—indirect
PyPIurllib3—indirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

Raw JSON report machine-readable

Feedback

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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 v0.34.0 — full methodology · metrics wiki.

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