gretel-python-client VS Mimesis

Compare gretel-python-client vs Mimesis and see what are their differences.

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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gretel-python-client Mimesis
3 3
43 4,304
- -
9.1 9.1
4 days ago 5 days ago
Python Python
Apache License 2.0 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.

gretel-python-client

Posts with mentions or reviews of gretel-python-client. 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 gretel-python-client and Mimesis you can also consider the following projects:

SDV - Synthetic data generation for tabular data

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

gretel-synthetics - Synthetic data generators for structured and unstructured text, featuring differentially private learning.

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

Copulas - A library to model multivariate data using copulas.

radar

ydata-synthetic - Synthetic data generators for tabular and time-series data

FauxFactory - Generates random data for your tests.

ReTube - ReImagine Tubing

callee - Argument matchers for unittest.mock

isp-data-pollution - ISP Data Pollution to Protect Private Browsing History with Obfuscation

aiounittest - Test python asyncio-based code with ease.