Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 19:58 UTC

tornadoweb / tornado

Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.

PythonApache-2.0★ 22,178 stars⑂ 5,555 forkssince Sep 2009View on GitHub ↗

tornadoweb/tornado holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (88/100) and lowest on Security (52/100). It was last updated today. A single contributor accounts for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

tornadowebOrganization
102 followers1 public reposince May 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPItornado6.5.10-861 day ago

Metrics by category

Vitality

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

81Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
20.1/36Commit cadence — 29/52 weeks with commits
18/18Commit volume — 178 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year178
human_commit_share0.98
days_since_last_push0
active_weeks_last_year29
How it's scored
16.2/27Ships releases — 67 version tags (no GitHub releases)
36/36Release recency — latest release 1 days ago
19.8/27Release cadence — a release every ~53.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count67
latest_release_tagv6.5.10
releases_from_tagsyes
days_since_latest_release1
mean_days_between_releases53.4

Community & Adoption

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

86Excellent · 17% of overall

Popularity & adoption

100Exceptional
How it's scored
60/60Stars — 22,178 stars
25/25Forks — 5,555 forks
15/15Watchers — 946 watchers
Inputs used
forks5,555
stars22,178
watchers946
growth_stateorganic
growth_factor_pct100
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

60Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4/22.5Commit distribution — top contributor authored 82% of commits
13.5/13.5Contributor breadth — 99 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled99
top_contributor_share0.824
How it's scored
37.9/42Issue resolution — 90% of issues closed
19.2/30PR acceptance — 1,118/1,750 decided PRs merged
0/13Newcomer PR acceptance — 0/3 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs1,118
open_issues183
closed_issues1,699
prs_merged_7d12
prs_decided_7d12
prs_merged_30d12
prs_decided_30d16
issue_closed_ratio0.903
closed_unmerged_prs632
first_time_authors_30d3
first_time_prs_merged_30d0
first_time_prs_decided_30d3
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.5/25Owner reach — 102 followers of tornadoweb
14.2/25Track record — 1 public repos, account ~12 yr old
Inputs used
followers102
owner_typeOrganization
is_verifiedno
owner_logintornadoweb
public_repos1
account_age_days4,520

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 1 days ago
20/20Version history — 86 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagestornado
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — .flake8, pyproject.toml ([tool.black]), tox.ini
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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://www.tornadoweb.org/
10/10Repository description
10/10Topics — 2 topics
10/10Wiki
Inputs used
topicspython, asynchronous
has_wikiyes
homepagehttp://www.tornadoweb.org/
docs_sitehttp://www.tornadoweb.org/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

52Moderate · 16% of overall
How it's scored
30/30Security 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—
manifestspyproject.toml, requirements.txt, setup.cfg, setup.py
has_codeql_workflowno
has_security_policyyes
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages53
unassessed_packages5
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 53 resolved dependencies against OSV. 5 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

79Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 88 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.898
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .flake8, pyproject.toml ([tool.black]), tox.ini
11/11Static type checking — tornado/py.typed
10/10Reproducible environment — Dockerfile
10/10Demonstrated agent practice — 31 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configstornado/py.typed
agent_commit_share0.31
toolchain_manifests—
dependency_bot_commit_share0.02
How it's scored
27/45Type-checkable code — Python with type-check config (tornado/py.typed)
53/55Manageable file sizes — 4/111 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes154,473
source_files_sampled111
oversized_source_files4
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 — demos
Inputs used
example_dirsdemos
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

22,178GitHub stars
99contributors
178commits, last 12 months
0days since last push
67releases
1bus factor
183open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-20: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 22178 stars today.
  • pypi download statistics for 'tornado' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • deps.dev does not index pypi:tornado@6.5.10; advisories assessed against the repository dependency graph instead
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 22,189 ★ / 5,555 ⇿
22,189Stars
5,555Forks
18Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Star history is shown as collected on 2026-07-20. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

4,0008,00012,00016,00020,00024,00022,1895,555192020-042023-062026-09
Major 0Minor 5Patch 13

Each point covers 6 days.

All dependencies 58

Full resolved dependency set from the GitHub dependency graph: 0 direct and 58 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiopg—indirect
PyPIalabaster1.0.0indirect
PyPIast-serialize0.11.2indirect
PyPIbabel2.18.0indirect
PyPIbcrypt—indirect
PyPIblack26.5.1indirect
PyPIbuild1.6.1indirect
PyPIcachetools7.1.8indirect
PyPIcertifi2026.7.22indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIdistlib0.4.3indirect
PyPIdocutils0.22.4indirect
PyPIfilelock3.32.7indirect
PyPIflake87.3.0indirect
PyPIidna3.19indirect
PyPIimagesize2.0.1indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.15.0indirect
PyPImarkdown—indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIpip-tools7.6.1indirect
PyPIplatformdirs4.11.9indirect
PyPIpluggy1.6.0indirect
PyPIpsycopg2—indirect
PyPIpycodestyle2.14.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.21.0indirect
PyPIpyproject-api1.11.1indirect
PyPIpyproject-hooks1.3.3indirect
PyPIpython-discovery1.6.0indirect
PyPIpytokens0.4.1indirect
PyPIrequests2.34.2indirect
PyPIroman-numerals4.1.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsphinx9.0.4indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli-w1.2.0indirect
PyPItornado—indirect
PyPItox4.61.4indirect
PyPItypes-pycurl7.47.0.20260703indirect
PyPItyping-extensions4.16.0indirect
PyPIurllib32.8.0indirect
PyPIvirtualenv21.7.10indirect
PyPIwheel0.48.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 53 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 5 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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.