Crates.io | cargo-criterion-means |
lib.rs | cargo-criterion-means |
version | 0.1.0 |
source | src |
created_at | 2023-11-28 18:00:45.351198 |
updated_at | 2023-12-05 16:17:50.730641 |
description | Cargo command to gather the mean and standard error values from criterion benchmarks. |
homepage | https://github.com/CarlKCarlK/cargo-criterion-means |
repository | https://github.com/CarlKCarlK/cargo-criterion-means |
max_upload_size | |
id | 1052229 |
size | 20,649 |
Cargo command to gather the mean and standard error values from criterion benchmarks.
cargo install cargo-criterion-means
cargo criterion-means [optional path to project root]
It sends comma-delimited text to standard out. For example:
Group,Id,Mean(ns),StdErr(ns)
compare_is_consecutive,regular/avx2,3.0443,0.0080137
compare_is_consecutive,regular/avx512f,3.0232,0.0023419
compare_is_consecutive,regular/sse2,3.0785,0.0016257
compare_is_consecutive,regular2/sse2,4.3907,0.0038452
compare_is_consecutive,rotate/avx2,1.3775,0.0039389
compare_is_consecutive,rotate/avx512f,1.2408,0.0060673
compare_is_consecutive,rotate/sse2,1.996,0.0055311
You can then analyze and tabulate via a spreadsheet (pivot tables work great) or via a dataframe library such as Polars
.