AmorphousDiskMark vs simple-disk-benchmark
AmorphousDiskMark
github.comsimple-disk-benchmark
github.comSide by side
| Figure | AmorphousDiskMark | simple-disk-benchmark |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Disk Benchmark Software | 7.9 (#8) | 7.3 (#21) |
| License | The maker describes the app as free and open source. | The repository identifies the software as MIT licensed. |
| Purpose | AmorphousDiskMark measures storage read/write performance in MB/s and IOPS. | The project describes itself as a simple disk benchmark tool. |
| Support | The maker lists [email protected] as a contact and directs users to its forum for tips and usage examples. | The repository shows zero open issues and does not state a support policy. |
Plans
In their own words
AmorphousDiskMark
AmorphousDiskMark is a free, open-source macOS utility for measuring storage read and write performance. It reports scores in megabytes per second or IOPS, with both units available in result tooltips. Sequential measurements use 1 MiB blocks, while random measurements use 4 KiB blocks; either type can run at queue depths from 1 through 1024. You can select random or zero test data, choose test sizes from 16 MiB to 64 GiB, and set intervals from 0 seconds to 10 minutes. Results can be copied as plain text, and the app can save a screenshot of its window. The product page lists macOS 10.9.5 or later, and the App Store describes it as Mac-only. The maker says an internet connection is unnecessary after downloading. The GitHub repository identifies an MIT license. The listed plan is free. Repeating read/write measurements may shorten storage-device lifespan.
simple-disk-benchmark
simple-disk-benchmark is a free command-line tool for measuring disk read and write performance on Linux, macOS, and Windows. It can run read tests, write tests, or both, with controls for test-file size, block size, cycle count, and random seeking. Results are shown in a bar chart and can be exported as JSON, including timing summaries and individual run timings. The benchmark creates a file of the selected size at the chosen path, deleting any existing file there. Options let users keep the file after a run, skip file creation, and choose whether the file is closed between cycles. The project describes cache-bypass methods for macOS and Linux. Install it with Cargo on all listed platforms or with Homebrew on macOS. The project says macOS and Linux are tested; Windows support is limited to unit tests, with no other testing or validation stated. It is MIT licensed, and the README suggests piping JSON output to jq or csvkit for CSV use.