OSCAL VS Mimesis

Compare OSCAL 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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OSCAL Mimesis
2 3
633 4,304
2.5% -
8.0 9.1
5 days ago 6 days ago
XSLT Python
GNU General Public License v3.0 or later 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.

OSCAL

Posts with mentions or reviews of OSCAL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-21.

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 OSCAL and Mimesis you can also consider the following projects:

inspec - InSpec: Auditing and Testing Framework

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

heimdall2 - Heimdall Enterprise Server 2 lets you view, store, and compare automated security control scan results.

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

openscap - NIST Certified SCAP 1.2 toolkit

radar

schema-registry - Confluent Schema Registry for Kafka

FauxFactory - Generates random data for your tests.

omniparser - omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.

callee - Argument matchers for unittest.mock

oscal-rest - An initial OpenAPI definition of an OSCAL REST API.

aiounittest - Test python asyncio-based code with ease.