Public record
Software health reportschema 0.12.0 · metrics 1.13.0 · 2026-07-18 14:18 UTC

confluentinc / confluent-kafka-python

Confluent's Kafka Python Client

PythonCustom license★ 495 stars⑂ 956 forkssince Apr 2016View on GitHub ↗

confluentinc/confluent-kafka-python holds a health index of 76 out of 100, placing it in the Good band. It scores highest on Vitality (96/100) and lowest on Security (51/100). It was last updated 1 day ago. 3 contributors account for most of its recent work.

76
overall / 100
Good

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

76
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.

Ownership

Confluent Inc.Organization
2,565 followers421 public repossince Oct 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIconfluent-kafka2.15.0-6217 days ago

Metrics by category

Vitality

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

96Excellent · 22% of overall
How it's scored
36/36Push recency — last push 1 days ago
29.8/36Commit cadence — 43/52 weeks with commits
18/18Commit volume — 161 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year161
human_commit_share
days_since_last_push1
active_weeks_last_year43

Release discipline

100Excellent
How it's scored
27/27Ships releases — 49 releases published
36/36Release recency — latest release 17 days ago
27/27Release cadence — a release every ~35.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count49
latest_release_tagv2.15.0
releases_from_tagsno
days_since_latest_release17
mean_days_between_releases35.1
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?

71Good · 18% of overall
How it's scored
43.7/60Stars — 495 stars
24.8/25Forks — 956 forks
12.6/15Watchers — 185 watchers
Inputs used
forks956
stars495
watchers185
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingno
has_issue_templateyes
has_code_of_conductno
has_pull_request_templateyes

Sustainability & Governance

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

83Good · 24% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
14/22.5Commit distribution — top contributor authored 38% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 34 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled100
top_contributor_share0.377
How it's scored
41.9/46.8Issue resolution — 90% of issues closed
28.3/38.3PR acceptance — 656/886 decided PRs merged
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs656
open_issues131
closed_issues1,147
issue_closed_ratio0.897
closed_unmerged_prs230
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
24.5/25Owner reach — 2,565 followers of confluentinc
25/25Track record — 421 public repos, account ~11 yr old
Inputs used
followers2,565
owner_typeOrganization
is_verified
owner_loginconfluentinc
public_repos421
account_age_days4,280
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 17 days ago
20/20Version history — 62 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesconfluent-kafka
ecosystemspypi
any_deprecatedno
min_days_since_publish17

Engineering Quality

Are baseline engineering and documentation practices in place?

70Good · 20% of overall
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config — tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 26 out of 29 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://docs.confluent.io/current/clients/confluent-kafka-python
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicsconfluent, kafka-client, librdkafka, python-client, kafka-protocol
has_wikino
homepagehttp://docs.confluent.io/current/clients/confluent-kafka-python
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

51Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2/2.5CI-Tests — 26 out of 29 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 34 contributing companies or organizations
0/10Dangerous-Workflow — no data
0/7.5Dependency-Update-Tool — no update tool detected
5/5Fuzzing — project is fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — no data
0/7.5Vulnerabilities — 14 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated14
scorecard_versionv5.5.0
checks_inconclusive4
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): dangerous_workflow, packaging, signed_releases, token_permissions. Remaining weights renormalized.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

60Moderate · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile, examples/Makefile, tests/integration/schema_registry/data/proto/Makefile
22/22Automated tests
11/11Lint / format config — tox.ini
11/11Static type checking — src/confluent_kafka/py.typed
10/10Reproducible environment — Dockerfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile, examples/Makefile, tests/integration/schema_registry/data/proto/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/confluent_kafka/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
27/45Type-checkable code — Python with type-check config (src/confluent_kafka/py.typed)
52.8/55Manageable file sizes — 13/329 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes216,949
source_files_sampled329
oversized_source_files13
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — examples/protobuf/user.proto, src/confluent_kafka/schema_registry/confluent/meta.proto, src/confluent_kafka/schema_registry/confluent/types/decimal.proto, tests/integration/schema_registry/data/proto/DependencyTestProto.proto, tests/integration/schema_registry/data/proto/NestedTestProto.proto, tests/integration/schema_registry/data/proto/PublicTestProto.proto, tests/integration/schema_registry/data/proto/SInt32Value.proto, tests/integration/schema_registry/data/proto/SInt64Value.proto, tests/integration/schema_registry/data/proto/TestProto.proto, tests/integration/schema_registry/data/proto/TimestampValue.proto, tests/integration/schema_registry/data/proto/UInt32Value.proto, tests/integration/schema_registry/data/proto/common_proto.proto, tests/integration/schema_registry/data/proto/exampleProtoCriteo.proto, tests/integration/schema_registry/data/proto/metadata_proto.proto, tests/schema_registry/data/proto/cycle.proto, tests/schema_registry/data/proto/dep.proto, tests/schema_registry/data/proto/example.proto, tests/schema_registry/data/proto/nested.proto, tests/schema_registry/data/proto/newerwidget.proto, tests/schema_registry/data/proto/newwidget.proto, tests/schema_registry/data/proto/test.proto, tests/schema_registry/data/proto/widget.proto
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_filesexamples/protobuf/user.proto, src/confluent_kafka/schema_registry/confluent/meta.proto, src/confluent_kafka/schema_registry/confluent/types/decimal.proto, tests/integration/schema_registry/data/proto/DependencyTestProto.proto, tests/integration/schema_registry/data/proto/NestedTestProto.proto, tests/integration/schema_registry/data/proto/PublicTestProto.proto, tests/integration/schema_registry/data/proto/SInt32Value.proto, tests/integration/schema_registry/data/proto/SInt64Value.proto, tests/integration/schema_registry/data/proto/TestProto.proto, tests/integration/schema_registry/data/proto/TimestampValue.proto, tests/integration/schema_registry/data/proto/UInt32Value.proto, tests/integration/schema_registry/data/proto/common_proto.proto, tests/integration/schema_registry/data/proto/exampleProtoCriteo.proto, tests/integration/schema_registry/data/proto/metadata_proto.proto, tests/schema_registry/data/proto/cycle.proto, tests/schema_registry/data/proto/dep.proto, tests/schema_registry/data/proto/example.proto, tests/schema_registry/data/proto/nested.proto, tests/schema_registry/data/proto/newerwidget.proto, tests/schema_registry/data/proto/newwidget.proto, tests/schema_registry/data/proto/test.proto, tests/schema_registry/data/proto/widget.proto

Key facts

495GitHub stars
100contributors
161commits, last 12 months
1days since last push
49releases
3bus factor
131open issues
PyPIpackage ecosystems

More detail

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 · 2026-07-18 14:18 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
8CI-Tests26 out of 29 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 34 contributing companies or organizations
n/aDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
10Fuzzingproject is fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 4 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
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
0Vulnerabilities14 existing vulnerabilities detected
All dependencies 55

Full resolved dependency set from the GitHub dependency graph: 0 direct and 55 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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Raw JSON report machine-readable
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                "detail": "3 contributor(s) cover half of all commits",
                "points": 36,
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                "details": [
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                "key": "commit_distribution",
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                "points": 14,
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                "details": [
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                "key": "contributor_breadth",
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                "key": "openssf_scorecard_contributors",
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                "key": "issue_resolution",
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                "key": "pr_acceptance",
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                "detail": "656/886 decided PRs merged",
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            "key": "stewardship",
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              {
                "key": "owner_reach",
                "name": "Owner reach",
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                "key": "track_record",
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        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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          },
          {
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                "points": 10,
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                "key": "topics",
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                "key": "wiki",
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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        "weight": 0.16,
        "metrics": [
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            "value": 51,
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            "components": [
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                "key": "branch_protection",
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                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
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                "points": 0,
                "status": "missed",
                "details": [],
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                "key": "code_review",
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                "status": "met",
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                "key": "contributors",
                "name": "Contributors",
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                "max_points": 2.5
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                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
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                "points": 0,
                "status": "excluded",
                "details": [
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                ],
                "max_points": 10
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              {
                "key": "dependency_update_tool",
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                "status": "missed",
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              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "points": 5,
                "status": "met",
                "details": [],
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              {
                "key": "license",
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                "detail": "license file detected",
                "points": 2.2,
                "status": "partial",
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                "max_points": 2.5
              },
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                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10",
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                "status": "met",
                "details": [],
                "max_points": 7.5
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                "key": "packaging",
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                "status": "excluded",
                "details": [
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                ],
                "max_points": 5
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                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
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                "status": "missed",
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              {
                "key": "sast",
                "name": "SAST",
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                "key": "security_policy",
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                "status": "missed",
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              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "status": "excluded",
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                "max_points": 7.5
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                "key": "token_permissions",
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                "status": "excluded",
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                "max_points": 7.5
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                "key": "vulnerabilities",
                "name": "Vulnerabilities",
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                "status": "missed",
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          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "notes": [
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                "code": "jurisdiction_evidence_limits",
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            "value": 100,
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              "review_only_matches": 0,
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
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        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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      {
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        "name": "AI Readiness",
        "value": 60,
        "weight": 0,
        "metrics": [
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                "max_points": 45
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                "key": "machine_readable_docs_llms_txt",
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                "max_points": 40
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          },
          {
            "key": "ai_verify_loop",
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        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
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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 v1.13.0, schema v0.12.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.