Crates / Compare / num_cpus vs sysinfo
Rust crates side by side · data Oct 24, 2026
num_cpus vs sysinfo
Short answerBy steady daily use, num_cpus is bigger: 1,159,443 real downloads a day against 644,904 for sysinfo (1.8x). 2,795 crates depend on num_cpus and 2,167 on sysinfo. num_cpus last shipped 17 months ago, sysinfo 4 months ago.
num_cpus
Widely usedWidely used and steady.
2,795 crates depend on it; no release in the last 90 days, so its count is all steady use.
Get the number of CPUs on a machine.
sysinfo
Widely usedWidely used and steady.
2,167 crates depend on it; no release in the last 90 days, so its count is all steady use.
Library to get system information such as processes, CPUs, disks, components and networks
num_cpussysinfo · 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 | num_cpus | sysinfo |
|---|---|---|
| Real downloads a day | 1,159,443 | 644,904 |
| Crates that depend on it | 2,795 | 2,167 |
| Last release | 1.17.0, 17 months ago | 0.39.6, 4 months ago |
| Trend vs the field | -3% | +0% |
| Release-window share | 0.0% | 0.0% |
| Downloads in the window | 101,432,468 | 56,265,690 |
| All-time downloads | 640,137,341 | 229,526,195 |
| Versions published | 40 | 268 |
| License | MIT OR Apache-2.0 | MIT |
| MSRV | not set | 1.95 |
| First published | Mar 16, 2015 | Jul 25, 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 (num_cpus, 2,795 dependents): more eyes, more answered questions, and you may already have it in your tree.
- Check the release dates against your own pace: num_cpus 17 months ago, sysinfo 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.
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