12 best Python Coding Assessment libraries in 2023
by Open Weaver kits ✔ Updated: Mar 14, 2023
Python is a powerful and versatile programming language that has become a popular choice for both beginners and experienced developers. Python is a widely used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management. The Python Coding Assessment libraries are the best open source software that help to create applications. It has been developed by the Python community and is completely free to download and use. Some of these libraries are designed to help with different aspects of software development, such as security and performance testing. There are several popular Python Coding Assessment open source libraries available for developers: vmaf - Perceptual video quality assessment based on multimethod fusion; drozer - The Leading Security Assessment Framework for Android; chipsec - Platform Security Assessment Framework.
Perceptual video quality assessment based on multi-method fusion.
Python 3568 Version:v2.3.1 License: Others (Non-SPDX)
The Leading Security Assessment Framework for Android.
Python 2609 Version:2.4.4 License: Others (Non-SPDX)
Platform Security Assessment Framework
Python 2658 Version:1.10.6 License: Strong Copyleft (GPL-2.0)
Automate Your Application Security Orchestration And Correlation (ASOC) Using ArcherySec.
Python 2064 Version:v2.0.4 License: Strong Copyleft (GPL-3.0)
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Python 1814 Version:Current License: Permissive (Apache-2.0)
Implementation of NIMA: Neural Image Assessment in Keras
Python 722 Version:v0.5 License: Permissive (MIT)
a CLI that provides a generic automation layer for assessing the security of ML models
Python 610 Version:v1.1.0 License: Permissive (MIT)
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Python 547 Version:v0.5 License: Permissive (BSD-3-Clause)
Network reconnaissance and vulnerability assessment tools.
Python 367 Version:Current License: Strong Copyleft (AGPL-3.0)
detect demographic differences in the output of machine learning models or other assessments
Python 264 Version:v0.1.1 License: Permissive (MIT)
Python code for levee assessments
Python 0 Version:0.1.10 License: Permissive (MIT)