This repository is a collection of various tools that are useful forthe things we do in Performance and Performance Testing.
Project description
mozperftest_tools
This repository is a collection of various tools that are useful for the things we do in Performance and Performance Testing. You can find the most interesting ones documented below.
Setup
pip install mozperftest-tools
Browsertime Side-by-Side Video Comparisons
The side_by_side.py
tool can be used to generate a side-by-side comparion of two browsertime videos. This can be useful for determining if a regression/improvement is legitimate or not. It uses the similarity metric which is calculated using video histograms. See below for more information.
from mozperftest_tools.side_by_side import SideBySide
s = SideBySide("welcome-linux/")
s.run(
test_name="browsertime-first-install-firefox-welcome-fis-e10s",
platform="test-linux1804-64-shippable-qr/opt-browsertime-first-install-firefox-welcome-fis-e10s",
base_branch="autoland",
base_revision="a9fcab1e5680054879d4d9547b0a36f6e15b1216",
new_branch="autoland",
new_revision="962cc435d9fbdd0b69e678bdc62a041f7164c7f4"
)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file mozperftest_tools-0.4.3.tar.gz
.
File metadata
- Download URL: mozperftest_tools-0.4.3.tar.gz
- Upload date:
- Size: 32.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2582ce97f7ec73ea2ef4ca1895c6e880a1cdb8bb55752806916d410029865ae6 |
|
MD5 | d5765b376faf752c368fdcc52bd8c9be |
|
BLAKE2b-256 | b18d4b4b2cccaea6040b35332d8534fd75173a76ad337aab062e136339d4ab55 |
File details
Details for the file mozperftest_tools-0.4.3-py3-none-any.whl
.
File metadata
- Download URL: mozperftest_tools-0.4.3-py3-none-any.whl
- Upload date:
- Size: 41.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d8ab52709b662b08d4d2ddd0d980f8d7f99fe19e5473480eab5b7b9648d8ec3c |
|
MD5 | e78fe799f0e7b86bdbf39ded4afa5ee9 |
|
BLAKE2b-256 | ee2e024a3a48bc8641de4186579755271084c81e02deffe416f27bb2b861640b |