transformer VS goose

Compare transformer vs goose and see what are their differences.

transformer

A tool to transform/convert web browser sessions (HAR files) into Locust load testing scenarios (locustfile). (by zalando-incubator)
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transformer goose
1 4
98 689
- 6.5%
0.0 7.6
about 1 year ago 9 days ago
Python Rust
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

transformer

Posts with mentions or reviews of transformer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-06.
  • Locust โ€“ open-source Load Testing Tool
    2 projects | news.ycombinator.com | 6 Jan 2021
    Iโ€™m not sure if this is what youโ€™re looking for, but me and my colleagues created a tool (https://github.com/zalando-incubator/transformer) to convert actions recorded in a browser (in har format) to Locust scenarios. Recorded state (like cookies) can be programmatically removed by user-defined plugins.

goose

Posts with mentions or reviews of goose. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-30.

What are some alternatives?

When comparing transformer and goose you can also consider the following projects:

locust - Write scalable load tests in plain Python ๐Ÿš—๐Ÿ’จ

speed-tests - Code for comparing CDN speeds!

migrate - Database migrations. CLI and Golang library.

chaperon - HTTP Service Performance & Load Testing Framework

hyper - An HTTP library for Rust

fluke - HTTP 1+2 in Rust, with io_uring & ktls

rust - Empowering everyone to build reliable and efficient software.