Crates / Compare / aho-corasick vs strsim
Rust crates side by side · data Oct 24, 2026
aho-corasick vs strsim
Short answerBy steady daily use, aho-corasick is bigger: 3,331,047 real downloads a day against 2,956,166 for strsim (1.1x). 655 crates depend on aho-corasick and 733 on strsim. aho-corasick last shipped 3 months ago, strsim 2.6 years ago.
aho-corasick
EstablishedEstablished and steady.
655 crates depend on it; downloads don't spike on releases.
Fast multiple substring searching.
strsim
EstablishedEstablished and quiet for years.
733 crates depend on it; no release in the last 90 days, so its count is all steady use.
Implementations of string similarity metrics. Includes Hamming, Levenshtein, OSA, Damerau-Levenshtein, Jaro, Jaro-Winkler, and Sørensen-Dice.
aho-corasickstrsim · 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 | aho-corasick | strsim |
|---|---|---|
| Real downloads a day | 3,331,047 | 2,956,166 |
| Crates that depend on it | 655 | 733 |
| Last release | 1.1.5, 3 months ago | 0.11.1, 2.6 years ago |
| Trend vs the field | +1% | -8% |
| Release-window share | 2.1% | 0.0% |
| Downloads in the window | 299,540,505 | 255,961,347 |
| All-time downloads | 1,284,083,381 | 1,196,075,994 |
| Versions published | 63 | 25 |
| License | Unlicense OR MIT | MIT |
| MSRV | 1.60.0 | 1.56 |
| First published | Jun 12, 2015 | Feb 10, 2015 |
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 (strsim, 733 dependents): more eyes, more answered questions, and you may already have it in your tree.
- Check the release dates against your own pace: aho-corasick 3 months ago, strsim 2.6 years 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.
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