Record in aggregate · metrics 2.10.0

The state of crates.io.

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

Inspected repositories
5,819 of 5,820 indexed
Monthly downloads under inspection
29.5B registry-reported
Median health index
67 Good
Good or better
54% index 65 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.

32% of the monthly download volume under inspection flows through repositories below the good band — and the top 1% most-downloaded repositories carry 42% of the entire volume.

Repositories
21%26%26%
Download volume
18%26%23%
BandRepositoriesDownloads / moVolume share
Exceptional4005.4B18%
Excellent1,2307.7B26%
Good1,4896.9B23%
Moderate1,4893.7B13%
Weak6161.9B6.5%
At Risk4233.4B12%
Critical172391M1.3%

Score shapes

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

Vitality73
1100
Community & Adoption53
1100
Sustainability & Governance62
1100
Engineering Quality67
1100
Security51
1100
AI Readiness60
1100

Category profile

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

Vitality
73
Community & Adoption
53
Sustainability & Governance
62
Engineering Quality
67
Security
51
AI Readinessunweighted
60

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
95% of 5,819
License detected
94% of 5,819
CI workflows
92% of 5,819
Automated tests
78% of 5,819
Documentation directory
36% of 5,819
Contributing guide
32% of 5,819
Linter configuration
30% of 5,819
Code of conduct
18% of 5,819
Security policy
18% of 5,819

Agent-era signals

One-command bootstrap
29% of 5,819
AI agent instructions
25% of 5,819
llms.txt
4.8% of 5,819

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 3,365
59 · 45–71
100 – 999 1,554
73 · 60–84
1,000 – 9,999 702
87 · 78–92
10,000 and more 198
94 · 88–97

By monthly downloads

Under 10K / month 1,793
65 · 54–77
10K – 1M 1,720
73 · 59–84
1M – 100M 1,091
65 · 47–83
100M and more 40
86 · 72–91

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
0.0
Signed-Releases
0.7
SAST
1.1
Fuzzing
1.3
Branch-Protection
1.4
Pinned-Dependencies
1.6
Token-Permissions
1.6
Security-Policy
2.3
Code-Review
2.6
Dependency-Update-Tool
4.3
Maintained
6.3
Vulnerabilities
6.5
Contributors
6.8
CI-Tests
7.0
License
9.3
Binary-Artifacts
9.6
Dangerous-Workflow
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.

Abandonment
3476.0% of the record · 6.0% of 5,820 assessed
High-risk jurisdiction exposure
400.7% of the record · 0.7% of 5,396 assessed
Malicious dependencies
5<0.1% of the record · 0.2% of 3,202 assessed
Inorganic growth
00% of the record · 0% of 120 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
79%
Last pushRepositoriesShare
Pushed within 30 days4,62479%
31 – 90 days4437.6%
91 – 365 days3566.1%
Over a year3966.8%

Stewardship & resilience

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

3,098Organization-stewarded median 75
2,721Personal accounts median 59

Maintainer bus factor

78% of inspected repositories depend on a single maintainer for the majority of their commits — including 805 with over a million monthly downloads.

1 maintainer
4,560
2 maintainers
749
3–5 maintainers
414
6+ maintainers
87

The dependency iceberg

Declared direct dependencies against the full resolved graph (direct plus transitive), across the 4,402 reports with a collected dependency graph.

The median repository declares 11 direct dependencies — and resolves to 83 packages in total.

Resolved packages per repository

0
186
1 – 5
538
6 – 20
817
21 – 50
464
51 – 200
676
201 – 500
734
501 – 1,000
484
Over 1,000
503

License landscape

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

Apache-2.0
2,337
MIT
1,980
Custom license
569
No license detected
344
GPL-3.0
111
MPL-2.0
108
BSD-3-Clause
101
AGPL-3.0
93
Unlicense
39
BSD-2-Clause
30

Most relied upon

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

npm · crates.io
77Goodhealth index
mozilla/source-map
Consume and generate source maps.
JavaScript · Rust★ 3,724↓ 1.4B/moAug 4, 2026
Custom licenseAug 4, 2026 · metrics 2.10.0
npm · crates.io
94Exceptionalhealth index
tailwindlabs/tailwindcss
A utility-first CSS framework for rapid UI development.
TypeScript · Rust★ 96.4K↓ 1.1B/moAug 4, 2026
MITAug 4, 2026 · metrics 2.10.0
npm · crates.io
95Exceptionalhealth index
pnpm/pnpm
Fast, disk space efficient package manager
Rust · TypeScript★ 36K↓ 581M/moAug 5, 2026
MITAug 5, 2026 · metrics 2.10.0
npm · crates.io
98Exceptionalhealth index
rollup/rollup
Next-generation ES module bundler
JavaScript · TypeScript★ 26.3K↓ 528M/moAug 4, 2026
Custom licenseAug 4, 2026 · metrics 2.10.0
PyPI · crates.io
88Excellenthealth index
pydantic/jiter
Fast iterable JSON parser.
Rust★ 545↓ 426M/moAug 29, 2026
MITAug 29, 2026 · metrics 2.10.0
npm · crates.io
83Excellenthealth index
parcel-bundler/lightningcss
An extremely fast CSS parser, transformer, bundler, and minifier written in Rust.
Rust★ 7,642↓ 425M/moAug 4, 2026
MPL-2.0Aug 4, 2026 · metrics 2.10.0

Reading these figures

  • Every figure is computed from the latest published inspection of each repository, under the versioned methodology (currently metrics 2.10.0). 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 2026-09-06 06:32 UTC; the aggregate is recomputed hourly. The underlying data is available as JSON.