Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-22 16:16 UTC

apache / skywalking-python

The Python agent for Apache SkyWalking

PythonApache-2.0★ 220 stars⑂ 114 forkssince May 2020View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

apache/skywalking-python holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (84/100) and lowest on Security (40/100). It was last updated 2 days ago. 3 contributors account for most of its recent work.

84
overall / 100
Excellent

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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

The Apache Software FoundationOrganization · verified domain
24,716 followers3,188 public repossince Jan 2009

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIapache-skywalking1.3.03,0031369 days agoskywalkingtracingmetricsloggingprofilingobservabilitydistributed-tracingapmpython

Metrics by category

Vitality

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

69Good · 21% of overall
How it's scored
36/36Push recency — last push 2 days ago
6.2/36Commit cadence — 9/52 weeks with commits
11.1/18Commit volume — 16 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year16
human_commit_share0.99
days_since_last_push2
active_weeks_last_year9
How it's scored
27/27Ships releases — 13 releases published
36/36Release recency — latest release 69 days ago
12.6/27Release cadence — a release every ~232.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count13
latest_release_tagv1.3.0
releases_from_tagsno
days_since_latest_release69
mean_days_between_releases232.1

Community & Adoption

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

72Good · 17% of overall
How it's scored
38/60Stars — 220 stars
17.1/25Forks — 114 forks
8.3/15Watchers — 32 watchers
Inputs used
forks114
stars220
watchers32
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 (Apache-2.0)
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_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes
How it's scored
46.4/80Monthly downloads — 3,003 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesapache-skywalking
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,003
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?

83Excellent · 23% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
15.6/22.5Commit distribution — top contributor authored 31% of commits
13.5/13.5Contributor breadth — 44 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor3
contributors_sampled44
top_contributor_share0.307
How it's scored
0/42Issue resolution — no issues or no data
22.3/30PR acceptance — 318/428 decided PRs merged
6.5/13Newcomer PR acceptance — 1/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs318
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d1
prs_merged_30d1
prs_decided_30d2
issue_closed_ratio—
closed_unmerged_prs110
first_time_authors_30d2
first_time_prs_merged_30d1
first_time_prs_decided_30d2
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 24,716 followers of apache
25/25Track record — 3,188 public repos, account ~17 yr old
Inputs used
followers24,716
owner_typeOrganization
is_verifiedyes
owner_loginapache
public_repos3,188
account_age_days6,486

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 69 days ago
20/20Version history — 13 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesapache-skywalking
ecosystemspypi
any_deprecatedno
min_days_since_publish69

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — setup.cfg ([flake8], [isort])
0/9.6Pre-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_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://skywalking.apache.org/
10/10Repository description
10/10Topics — 6 topics
0/10Wiki
Inputs used
topicsskywalking, observability, apm, distributed-tracing, python, dapper
has_wikino
homepagehttps://skywalking.apache.org/
docs_sitehttps://skywalking.apache.org/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

40Weak · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
25/25Dependency lockfiles — poetry.lock
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilespoetry.lock
manifestspyproject.toml, setup.cfg
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

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_packages8
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:apache-skywalking@1.3.0 runtime dependency closure — what installing the published package pulls in — 8 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.

72Good · 4% of overall
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 95 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.96
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes16,500
How it's scored
18/18One-command bootstrap — Makefile, docker/Makefile
22/22Automated tests
11/11Lint / format config — setup.cfg ([flake8], [isort])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docker/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.01
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/336 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes46,934
source_files_sampled336
oversized_source_files0
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — tests/plugin/web/sw_grpc/example.proto
0/20MCP server — not applicable to this kind of software
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalno
api_schema_filestests/plugin/web/sw_grpc/example.proto
interfaces_expected_of—
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

220GitHub stars
44contributors
16commits, last 12 months
2days since last push
13releases
3bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard did not return a usable result (exit code 0; Skipping github.com/apache/skywalking-python: run: internal error: ListCommits:error during graphqlHandler.setup: internal error: githubv4.Query: Something went wrong while executing your query on 2026-10-22T16:16:51Z. Please include `B998:223146:93DBB43:D6A7714:6ADA36F1` when reporting this issue.); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 114 ⇿
0Stars
114Forks
13Releases

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.

02040608010012011122020-052023-072026-10
Major 1Minor 11Patch 1

Each point covers 6 days.

Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPIgrpcio>=1.83pyproject.toml
PyPIgrpcio-tools>=1.83pyproject.toml
PyPIpackaging*pyproject.toml
PyPIwrapt>=1.14pyproject.toml
PyPIpsutil*pyproject.toml
PyPIrequests>=2.26.0pyproject.toml
PyPIkafka-python*pyproject.toml
PyPIuvloop>=0.17.0pyproject.toml
PyPIaiokafka^0.8.0pyproject.toml
PyPIaiohttp^3.7.4pyproject.toml
All dependencies 155

Full resolved dependency set from the GitHub dependency graph: 10 direct and 145 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttp3.13.5direct
PyPIaiokafka0.8.1direct
PyPIgrpcio1.83.0direct
PyPIgrpcio-tools1.83.0direct
PyPIkafka-python2.3.1direct
PyPIpackaging26.0direct
PyPIpsutil7.2.2direct
PyPIrequests2.33.1direct
PyPIuvloop0.22.1direct
PyPIwrapt2.1.2direct
PyPIaiofiles25.1.0indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaioredis2.0.1indirect
PyPIaiormq6.9.4indirect
PyPIaiosignal1.4.0indirect
PyPIamqp5.3.1indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIasgiref3.11.1indirect
PyPIastor0.8.1indirect
PyPIastroid4.0.4indirect
PyPIasync-timeout5.0.1indirect
PyPIasyncpg0.31.0indirect
PyPIattrs26.1.0indirect
PyPIbilliard4.2.4indirect
PyPIblinker1.9.0indirect
PyPIbottle0.13.4indirect
PyPIcelery5.6.3indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.3.2indirect
PyPIclick-didyoumean0.3.1indirect
PyPIclick-plugins1.1.1.2indirect
PyPIclick-repl0.3.0indirect
PyPIcolorama0.4.6indirect
PyPIconfluent-kafka2.14.0indirect
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PyPIdill0.4.1indirect
PyPIdjango5.2.13indirect
PyPIdnspython2.8.0indirect
PyPIdocker7.1.0indirect
PyPIelastic-transport9.2.1indirect
PyPIelasticsearch9.3.0indirect
PyPIeradicate2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastapi0.135.3indirect
PyPIflake85.0.4indirect
PyPIflake8-20201.8.1indirect
PyPIflake8-bugbear22.12.6indirect
PyPIflake8-comprehensions3.17.0indirect
PyPIflake8-docstrings1.7.0indirect
PyPIflake8-eradicate1.5.0indirect
PyPIflake8-quotes3.4.0indirect
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PyPIflask3.1.3indirect
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PyPIh110.16.0indirect
PyPIhappybase1.3.0indirect
PyPIhtml5tagger1.3.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.7.1indirect
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PyPIhupper1.12.1indirect
PyPIidna3.11indirect
PyPIimportlib-resources6.5.2indirect
PyPIiniconfig2.3.0indirect
PyPIisort8.0.1indirect
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PyPIjinja23.1.6indirect
PyPIkombu5.6.2indirect
PyPIlegacy-cgi2.6.4indirect
PyPIloguru0.7.3indirect
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PyPIpamqp3.3.0indirect
PyPIpastedeploy3.1.0indirect
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PyPIpika1.3.2indirect
PyPIpkginfo1.12.1.2indirect
PyPIplaster1.1.2indirect
PyPIplaster-pastedeploy1.0.1indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIply3.11indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.4.1indirect
PyPIprotobuf7.35.1indirect
PyPIpsycopg3.3.3indirect
PyPIpsycopg-binary3.3.3indirect
PyPIpsycopg2-binary2.9.11indirect
PyPIpulsar-client3.10.0indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpycodestyle2.9.1indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpydocstyle6.3.0indirect
PyPIpyflakes2.5.0indirect
PyPIpygments2.20.0indirect
PyPIpylint4.0.5indirect
PyPIpymongo4.16.0indirect
PyPIpymysql1.1.2indirect
PyPIpyramid2.1indirect
PyPIpytest9.0.3indirect
PyPIpytest-benchmark4.0.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpytz2026.1.post1indirect
PyPIpywin32311indirect
PyPIpyyaml6.0.3indirect
PyPIredis7.4.0indirect
PyPIsanic25.12.0indirect
PyPIsanic-routing23.12.0indirect
PyPIsetuptools81.0.0indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsqlparse0.5.5indirect
PyPIstarlette1.0.0indirect
PyPItestcontainers4.14.2indirect
PyPIthriftpy20.6.0indirect
PyPItomli2.4.1indirect
PyPItomlkit0.14.0indirect
PyPItornado6.5.5indirect
PyPItracerite2.3.1indirect
PyPItranslationstring1.4indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.1indirect
PyPItzlocal5.3.1indirect
PyPIujson5.12.0indirect
PyPIunify0.5indirect
PyPIuntokenize0.1.1indirect
PyPIurllib32.6.3indirect
PyPIuvicorn0.44.0indirect
PyPIvenusian3.1.1indirect
PyPIvine5.1.0indirect
PyPIwcwidth0.6.0indirect
PyPIwebob1.8.9indirect
PyPIwebsockets16.0indirect
PyPIwerkzeug3.1.8indirect
PyPIwin32-setctime1.2.0indirect
PyPIyarl1.23.0indirect
PyPIzope-deprecation6.0indirect
PyPIzope-event6.1indirect
PyPIzope-interface8.3indirect
Dependency advisories 0

Installing pypi:apache-skywalking@1.3.0 pulls in 8 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 v0.34.0 — full methodology · metrics wiki.

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