Record in aggregate · metrics 1.13.0

The state of Go.

Aggregate statistics across every inspected repository publishing to Go — how health distributes, where the download volume sits, and which practices are common or rare, measured against the whole record.

Inspected repositories
10,117 of 10,117 indexed
Monthly downloads under inspection
1.2B registry-reported
Median health index
53 Moderate
Good or better
14% index 70 and above

Health-index distribution

Latest health index of every inspected repository, in five-point intervals over the 1–100 scale.

Where the download volume sits

Combined monthly downloads by band, against repository counts.

72% of the monthly download volume under inspection flows through repositories below the good band — and the top 1% most-downloaded repositories carry 100% of the entire volume.

Repositories
47%34%
Download volume
23%60%
BandRepositoriesDownloads / moVolume share
Excellent13455.3M4.7%
Good1,284273M23%
Moderate4,710715M60%
At risk3,463139M12%
Critical5264,4560.0%

Score shapes

The distribution behind each category median, in ten-point bins — where the record clusters, and where a category separates repositories or saturates.

Vitality74
1100
Community & Adoption30
1100
Sustainability & Governance53
1100
Engineering Quality65
1100
Security42
1100
AI Readiness56
1100

Category profile

Median category score across the scope. Ticks mark the whole-record median. Categories are documented in the methodology wiki.

Vitality
74
Community & Adoption
30
Sustainability & Governance
53
Engineering Quality
65
Security
42
AI Readinessunweighted
56

The state of practice

Share of inspected repositories where the practice is publicly evident. Reports that predate a signal are excluded from its basis, never counted as missing.

Engineering & community practice

README
91% of 10,117
Automated tests
91% of 10,117
License detected
87% of 10,117
CI workflows
78% of 10,117
Documentation directory
43% of 10,117
Linter configuration
42% of 10,117
Contributing guide
31% of 10,117
Code of conduct
19% of 10,117
Security policy
18% of 10,117

Agent-era signals

One-command bootstrap
56% of 10,117
AI agent instructions
31% of 10,117
llms.txt
1.6% of 10,117

Signals read by the unweighted AI Readiness category.

Does popularity mean health?

Median health index (dot) and the middle half of repositories (band) per popularity bracket, on the shared 1–100 scale.

By GitHub stars

Under 100 stars 8,684
51 · 42–60
100 – 999 863
68 · 60–76
1,000 – 9,999 412
75 · 69–82
10,000 and more 158
81 · 76–87

By monthly downloads

Under 10K / month 1,461
52 · 40–59
10K – 1M 65
69 · 62–76
1M – 100M 47
72 · 57–81
100M and more 2
52 · 34–71

Security under the microscope

Average OpenSSF Scorecard result per check across the scope, weakest first, on Scorecard's 0–10 scale. Check results are mostly all-or-nothing, so the average tracks how much of the record passes. Checks Scorecard reports inconclusive are excluded from scoring, never counted as zero; each row's tooltip carries its basis.

CII-Best-Practices
0.1
Fuzzing
1.0
Signed-Releases
1.1
Branch-Protection
1.2
Code-Review
1.7
SAST
1.9
Token-Permissions
1.9
Pinned-Dependencies
2.1
Security-Policy
2.4
Dependency-Update-Tool
4.1
Contributors
4.4
Maintained
5.5
Vulnerabilities
6.1
CI-Tests
7.6
License
8.7
Dangerous-Workflow
9.7
Binary-Artifacts
9.8
Packaging
10.0

Red flags

Findings that adjust a rating downward rather than scoring into it. Each is reported as a count, as a share of the whole record, and as a rate among the repositories where it could be determined at all.

High-risk jurisdiction exposure
2372.3% of the record · 3.0% of 7,948 assessed
Abandonment
640.6% of the record · 0.6% of 10,117 assessed
Malicious dependencies
00% of the record · 0% of 1,203 assessed
Inorganic growth
00% of the record · 0% of 146 assessed

A red flag needs its own evidence, so its basis is smaller than the record. Growth authenticity is assessed only where day-by-day history was collected; dependency findings only where a dependency graph resolved. Repositories the evidence cannot answer for are left out of the basis rather than counted as passing.

The pulse

How recently each inspected repository last saw a push, at inspection time.

Half of the inspected repositories saw a push within 2 days of inspection.

Push recency
96%
Last pushRepositoriesShare
Pushed within 30 days9,66896%
31 – 90 days900.9%
91 – 365 days1231.2%
Over a year2362.3%

Stewardship & resilience

Who stands behind the inspected repositories, and how many people the code depends on. Both are read by the governance category.

5,588Organization-stewarded median 58
4,529Personal accounts median 49

Maintainer bus factor

80% of inspected repositories depend on a single maintainer for the majority of their commits — including 11 with over a million monthly downloads.

1 maintainer
7,993
2 maintainers
1,156
3–5 maintainers
673
6+ maintainers
140

The dependency iceberg

Declared direct dependencies against the full resolved graph (direct plus transitive), across the 5,402 reports with a collected dependency graph.

The median repository declares 9 direct dependencies — and resolves to 55 packages in total.

Resolved packages per repository

0
302
1 – 5
552
6 – 20
936
21 – 50
827
51 – 200
1,513
201 – 500
696
501 – 1,000
310
Over 1,000
266

License landscape

The most common detected licenses across the scope (SPDX identifiers).

MIT
4,110
Apache-2.0
2,913
No license detected
1,291
Custom license
577
GPL-3.0
291
AGPL-3.0
284
BSD-3-Clause
228
MPL-2.0
202
BSD-2-Clause
69
GPL-2.0
36

Most relied upon

The most-downloaded repositories under inspection publishing to Go — the records the figures above weigh heaviest. The rest is covered by the full catalogue · tag index.

npm · Go
65Moderatehealth index
WebReflection/flatted
A fast and minimal circular JSON parser.
JavaScript · Go · PHP★ 1,149↓ 553M/moJul 22, 2026
ISCJul 22, 2026 · metrics 1.13.0
PyPI · npm · Packagist +2
40At riskhealth index
google/flatbuffers
FlatBuffers: Memory Efficient Serialization Library
C++ · Rust★ 26.2K↓ 120M/moJul 20, 2026
Apache-2.0Jul 20, 2026 · metrics 1.13.0
Go · npm · PyPI
73Goodhealth index
modal-labs/modal-client
SDK libraries for Modal
Python★ 493↓ 56.5M/moJul 14, 2026
Apache-2.0Jul 14, 2026 · metrics 1.13.0
Go · Hex · Maven +4
79Goodhealth index
cucumber/messages
A message protocol for representing results and other information from Cucumber
C#★ 40↓ 30.1M/moJul 13, 2026
MITJul 13, 2026 · metrics 1.13.0
PyPI · npm · Go +1
93Excellenthealth index
apache/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Python★ 46.2K↓ 28.9M/moJul 21, 2026
Apache-2.0Jul 21, 2026 · metrics 1.13.0
npm · PyPI · Packagist +4
82Goodhealth index
cucumber/gherkin
A parser and compiler for the Gherkin language.
C★ 372↓ 27.8M/moJul 19, 2026
MITJul 19, 2026 · metrics 1.13.0

Reading these figures

  • Every figure is computed from the latest published inspection of each repository, under the versioned methodology (currently metrics 1.13.0). See the methodology · band scale.
  • Statistics describe the inspected record — software admitted for inspection, not a random sample of all open source. Admission follows the public-interest criteria.
  • Download figures come from package registries; registries that publish no monthly number (Maven Central, Go, NuGet, RubyGems) contribute no volume rather than zero. Coverage per ecosystem is documented in supported ecosystems.
  • Where a signal is unavailable in a report — an uncollected dependency graph, an inconclusive Scorecard check, a report predating a signal — the repository is excluded from that figure's basis, never counted against it.
  • Health indices are signals of publicly visible practice, not audits or warranties — how to read them is covered by the health index.
  • Figures computed 2026-07-23 05:46 UTC; the aggregate is recomputed hourly. The underlying data is available as JSON.