Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 04:52 UTC

qdrant / qdrant-client

Python client for Qdrant vector search engine

PythonApache-2.0★ 1,374 stars⑂ 353 forkssince Feb 2021View on GitHub ↗
KindNetwork serviceLibraryhow this is determined
#qdrant#vector-database#vector-search#vector-search-engine

qdrant/qdrant-client holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (95/100) and lowest on AI Readiness (63/100). It was last updated 1 day ago. 2 contributors account for most of its recent work.

94
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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

QdrantOrganization · verified domain
1,844 followers132 public repossince Oct 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIqdrant-client1.19.112,034,96012632 days agovectorsearchneuralmatchingclient

Metrics by category

Vitality

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

87Excellent · 21% of overall

Development activity

83Excellent
How it's scored
36/36Push recency — last push 1 days ago
18.7/36Commit cadence — 27/52 weeks with commits
18/18Commit volume — 118 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year118
human_commit_share0.94
days_since_last_push1
active_weeks_last_year27

Release discipline

92Excellent
How it's scored
27/27Ships releases — 57 releases published
36/36Release recency — latest release 32 days ago
19.8/27Release cadence — a release every ~45.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count57
latest_release_tagv1.19.1
releases_from_tagsno
days_since_latest_release32
mean_days_between_releases45.7
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

76Good · 17% of overall

Popularity & adoption

77Good
How it's scored
50.9/60Stars — 1,374 stars
21.2/25Forks — 353 forks
4.7/15Watchers — 8 watchers
Inputs used
forks353
stars1,374
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

57Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 12,034,960 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesqdrant-client
dependents—
ecosystemspypi
total_downloads—
monthly_downloads12,034,960
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?

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
12.9/22.5Commit distribution — top contributor authored 43% of commits
13.5/13.5Contributor breadth — 73 contributors
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled73
top_contributor_share0.427

Issue & PR responsiveness

64Moderate
How it's scored
32.6/42Issue resolution — 78% of issues closed
22.9/30PR acceptance — 668/875 decided PRs merged
8.7/13Newcomer PR acceptance — 6/9 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs668
open_issues126
closed_issues436
prs_merged_7d24
prs_decided_7d32
prs_merged_30d47
prs_decided_30d58
issue_closed_ratio0.776
closed_unmerged_prs207
first_time_authors_30d9
first_time_prs_merged_30d6
first_time_prs_decided_30d9

Ownership & stewardship

98Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
23.5/25Owner reach — 1,844 followers of qdrant
25/25Track record — 132 public repos, account ~5 yr old
Inputs used
followers1,844
owner_typeOrganization
is_verifiedyes
owner_loginqdrant
public_repos132
account_age_days2,183

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 32 days ago
20/20Version history — 126 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesqdrant-client
ecosystemspypi
any_deprecatedno
min_days_since_publish32

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.isort])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://qdrant.tech
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsqdrant, vector-database, vector-search, vector-search-engine
has_wikiyes
homepagehttps://qdrant.tech
docs_sitehttps://qdrant.tech
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

64Moderate · 16% of overall

Security posture

55Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 13 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 10 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.5
Excluded from scoring (no data or not applicable): Branch-Protection, CI-Tests, Signed-Releases. Remaining weights renormalized.

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_packages19
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:qdrant-client@1.19.1 runtime dependency closure — what installing the published package pulls in — 19 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.

63Moderate · 4% of overall

Agent context & guidance

55Moderate
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://qdrant.tech/llms.txt)
40/40Legible commit history — 87 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://qdrant.tech/llms.txt
legible_history_share0.926
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

71Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.isort])
11/11Static type checking — mypy.ini, qdrant_client/py.typed
10/10Reproducible environment — lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 6 of the last 100 commits are automated dependency updates
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, qdrant_client/py.typed
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0.06

Code legibility for models

78Good
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini, qdrant_client/py.typed)
51.5/55Manageable file sizes — 13/204 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes229,982
source_files_sampled204
oversized_source_files13

Machine-readable interfaces

40Weak
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — qdrant_client/proto/collections.proto, qdrant_client/proto/collections_service.proto, qdrant_client/proto/json_with_int.proto, qdrant_client/proto/points.proto, qdrant_client/proto/points_service.proto, qdrant_client/proto/qdrant.proto, qdrant_client/proto/qdrant_common.proto, qdrant_client/proto/snapshots_service.proto
0/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalno
api_schema_filesqdrant_client/proto/collections.proto, qdrant_client/proto/collections_service.proto, qdrant_client/proto/json_with_int.proto, qdrant_client/proto/points.proto, qdrant_client/proto/points_service.proto, qdrant_client/proto/qdrant.proto, qdrant_client/proto/qdrant_common.proto, qdrant_client/proto/snapshots_service.proto
interfaces_expected_ofnetwork-service

Key facts

1,374GitHub stars
73contributors
118commits, last 12 months
1days since last push
57releases
2bus factor
126open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 27 authors (cap 12)

More detail

Star and fork history 0 ★ / 353 ⇿
0Stars
353Forks
53Releases

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.

0125250375353132021-092024-032026-10
Major 0Minor 22Patch 31

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 · 2026-10-19 04:52 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
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 13 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 10 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5Vulnerabilities5 existing vulnerabilities detected
Direct dependencies 9
RegistryPackageVersion constraintManifest
PyPIhttpx>=0.20.0pyproject.toml
PyPInumpy—pyproject.toml
PyPIpydantic>=1.10.8,!=2.0.*,!=2.1.*,!=2.2.0pyproject.toml
PyPIgrpcio>=1.41.0pyproject.toml
PyPIprotobuf>=3.20.0pyproject.toml
PyPIurllib3>=1.26.14,<3pyproject.toml
PyPIportalocker>=2.7.0,<4.0pyproject.toml
PyPIfastembed—pyproject.toml
PyPIfastembed-gpu—pyproject.toml
All dependencies 73

Full resolved dependency set from the GitHub dependency graph: 9 direct and 64 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIfastembed0.8.0direct
PyPIfastembed-gpu0.8.0direct
PyPIgrpcio1.84.0direct
PyPIhttpx0.28.1direct
PyPInumpy2.2.6direct
PyPIportalocker3.2.0direct
PyPIprotobuf7.36.1direct
PyPIpydantic2.13.5direct
PyPIurllib32.8.0direct
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIautoflake2.4.0indirect
PyPIcertifi2026.7.22indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoloredlogs15.0.1indirect
PyPIcoverage7.16.1indirect
PyPIdistlib0.4.3indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.32.7indirect
PyPIflatbuffers25.12.19indirect
PyPIfsspec2026.7.0indirect
PyPIh110.16.0indirect
PyPIh24.4.1indirect
PyPIhf-xet1.6.0indirect
PyPIhpack4.2.0indirect
PyPIhttpcore1.0.9indirect
PyPIhuggingface-hub1.31.0indirect
PyPIhumanfriendly10.0indirect
PyPIhyperframe6.1.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.19indirect
PyPIiniconfig2.3.0indirect
PyPIlibrt0.15.0indirect
PyPIloguru0.7.2indirect
PyPImmh35.3.0indirect
PyPImpmath1.3.0indirect
PyPImypy1.20.2indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIonnxruntime1.23.2indirect
PyPIonnxruntime-gpu1.23.2indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.11.8indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpy-rust-stemmers0.1.8indirect
PyPIpydantic-core2.46.5indirect
PyPIpyflakes3.4.0indirect
PyPIpyreadline33.5.6indirect
PyPIpyright1.1.414indirect
PyPIpytest7.4.4indirect
PyPIpytest-asyncio0.23.8indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-timeout2.4.0indirect
PyPIpython-discovery1.6.0indirect
PyPIpywin32312indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.34.2indirect
PyPIruff0.4.3indirect
PyPIsympy1.14.0indirect
PyPItokenizers0.23.2indirect
PyPItomli2.4.1indirect
PyPItqdm4.70.1indirect
PyPItypes-protobuf4.25.0.20240417indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIvirtualenv21.7.10indirect
PyPIwin32-setctime1.2.0indirect
Dependency advisories 0

Installing pypi:qdrant-client@1.19.1 pulls in 19 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

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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.