viper VS Mimesis

Compare viper vs Mimesis and see what are their differences.

viper

Simple, expressive pipeline syntax to transform and manipulate data with ease (by aropele)

Mimesis

Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently. (by lk-geimfari)
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viper Mimesis
1 3
14 4,307
- -
5.1 8.9
4 months ago 5 days ago
Python Python
MIT License MIT License
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.

viper

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

Mimesis

Posts with mentions or reviews of Mimesis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-12.

What are some alternatives?

When comparing viper and Mimesis you can also consider the following projects:

sketch - AI code-writing assistant that understands data content

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

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

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

airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

radar

dython - A set of data tools in Python

callee - Argument matchers for unittest.mock

PyFunctional - Python library for creating data pipelines with chain functional programming

FauxFactory - Generates random data for your tests.

aiounittest - Test python asyncio-based code with ease.

pytest-fastapi-deps - This library allows you to easily replace FastAPI dependencies in your tests. Regular mocking techniques do not work due to the inner working of FastAPI.