Crates / Compare / document-features vs utoipa
Rust crates side by side · data Oct 27, 2026
document-features vs utoipa
Short answerBy steady daily use, document-features is bigger: 703,484 real downloads a day against 207,280 for utoipa (3.4x). 672 crates depend on document-features and 1,956 on utoipa. document-features last shipped 12 months ago, utoipa 35 days ago.
document-features
EstablishedEstablished and steady.
672 crates depend on it; no release in the last 90 days, so its count is all steady use.
Extract documentation for the feature flags from comments in Cargo.toml
utoipa
Widely usedWidely used and gaining.
1,956 crates depend on it; downloads jump on release days (1.3x the baseline).
Compile time generated OpenAPI documentation for Rust
document-featuresutoipa · 100% = that crate's normal quiet day, so a spike to 300% is triple its usual traffic
Every number, side by side
| Same window, same method | document-features | utoipa |
|---|---|---|
| Real downloads a day | 703,484 | 207,280 |
| Crates that depend on it | 672 | 1,956 |
| Last release | 0.2.12, 12 months ago | 6.0.0, 35 days ago |
| Trend vs the field | -5% | +18% |
| Release-window share | 0.0% | 2.8% |
| Downloads in the window | 64,110,261 | 19,728,136 |
| All-time downloads | 185,013,634 | 57,748,765 |
| Versions published | 14 | 61 |
| License | MIT OR Apache-2.0 | MIT OR Apache-2.0 |
| MSRV | 1.56 | 1.88 |
| First published | Feb 1, 2022 | Jan 27, 2022 |
Which to pick
- Downloads tell you what is common, not what fits. Each crate's own description above says what it is for; when the jobs differ, pick by the job.
- When both fit, prefer the one more crates depend on (utoipa, 1,956 dependents): more eyes, more answered questions, and you may already have it in your tree.
- Check the release dates against your own pace: document-features 12 months ago, utoipa 35 days ago.
Also in this space
Method
Real downloads = the median day with no release that day or the day before, from the crates.io API (Jul 27, 2026 to Oct 26, 2026). Raw crates.io counts include CI and bots and run high (why); the method is from our 90-day study.
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Art: Nicholas Roerich, Nag Lake (1925). Public domain, via Wikimedia Commons.
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