picka VS FauxFactory

Compare picka vs FauxFactory and see what are their differences.

picka

pip install picka - Picka is a python based data generation and randomization module which aims to increase coverage by increasing the amount of tests you _dont_ have to write by hand. (by antlong)

FauxFactory

Generates random data for your tests. (by omaciel)
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picka FauxFactory
- -
111 37
- -
0.0 2.6
over 4 years ago over 1 year ago
Python Python
Apache License 2.0 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.

picka

Posts with mentions or reviews of picka. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning picka yet.
Tracking mentions began in Dec 2020.

FauxFactory

Posts with mentions or reviews of FauxFactory. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning FauxFactory yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing picka and FauxFactory you can also consider the following projects:

faker - Faker is a Python package that generates fake data for you.

radar

Mimesis - Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently.

fake2db - create custom test databases that are populated with fake data

callee - Argument matchers for unittest.mock

PyRestTest - Python Rest Testing

Schemathesis - Automate your API Testing: catch crashes, validate specs, and save time

Selenium Wire - Extends Selenium's Python bindings to give you the ability to inspect requests made by the browser.