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Crates / Compare / foldhash vs rustc-hash

Rust crates side by side · data Oct 24, 2026

foldhash vs rustc-hash

Short answerBy steady daily use, foldhash is bigger: 3,043,165 real downloads a day against 2,998,135 for rustc-hash (1.0x). 333 crates depend on foldhash and 3,505 on rustc-hash. foldhash last shipped 14 months ago, rustc-hash 4 months ago.

foldhash

Established

Established and steady.

333 crates depend on it; no release in the last 90 days, so its count is all steady use.

A fast, non-cryptographic, minimally DoS-resistant hashing algorithm.

rustc-hash

Widely used

Widely used and steady.

3,505 crates depend on it; no release in the last 90 days, so its count is all steady use.

A speedy, non-cryptographic hashing algorithm used by rustc

foldhashrustc-hash · 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 methodfoldhashrustc-hash
Real downloads a day3,043,1652,998,135
Crates that depend on it3333,505
Last release0.2.0, 14 months ago2.1.3, 4 months ago
Trend vs the field+6%-2%
Release-window share0.0%0.0%
Downloads in the window284,307,575265,103,975
All-time downloads717,956,008926,566,887
Versions published79
LicenseZlibApache-2.0 OR MIT
MSRV1.601.77
First publishedAug 12, 2024May 24, 2018

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 (rustc-hash, 3,505 dependents): more eyes, more answered questions, and you may already have it in your tree.
  • Check the release dates against your own pace: foldhash 14 months ago, rustc-hash 4 months 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 23, 2026). Raw crates.io counts include CI and bots and run high (why); the method is from our 90-day study.

Up next

Another comparison: Same method, same window. Widely used and steady vs established and steady.ahash vs foldhashRead it next →

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