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ease
features
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Description

Atheris is a Python fuzzing engine guided by coverage, designed to test both Python code and native extensions developed for CPython. It is built on the foundation of libFuzzer, providing an effective method for identifying additional bugs when fuzzing native code. Atheris is compatible with Linux (both 32- and 64-bit) and Mac OS X, supporting Python versions ranging from 3.6 to 3.10. Featuring an integrated libFuzzer, it is well-suited for fuzzing Python applications, but when targeting native extensions, users may need to compile from source to ensure compatibility between the libFuzzer version in Atheris and their Clang installation. Since Atheris depends on libFuzzer, which is a component of Clang, users of Apple Clang will need to install a different version of LLVM, as the default does not include libFuzzer. The implementation of Atheris as a coverage-guided, mutation-based fuzzer (LibFuzzer) simplifies the setup process by eliminating the need for input grammar definition. However, this approach can complicate the generation of inputs for code that processes intricate data structures. Consequently, while Atheris offers ease of use in many scenarios, it may face challenges when dealing with more complex parsing requirements.

Description

Cython serves as an optimizing static compiler designed for both the Python language and the enhanced Cython language, which is rooted in Pyrex. It simplifies the process of creating C extensions for Python, making it as straightforward as writing Python itself. With Cython, developers can harness the strengths of both Python and C, enabling seamless interactions between Python code and C or C++ code at any point. By incorporating static type declarations in a Python-like syntax, users can easily enhance the performance of their readable Python code to that of plain C. The tool also provides combined source code level debugging, allowing developers to efficiently identify issues within their Python, Cython, and C code. Cython is particularly adept at managing large datasets, such as multi-dimensional NumPy arrays, facilitating the development of applications within the expansive and robust CPython ecosystem. Notably, the Cython language extends the capabilities of Python by allowing direct calls to C functions and the declaration of C types for variables and class attributes, ultimately enhancing the development experience. This fusion of languages not only broadens the possibilities for developers but also streamlines the process of optimizing Python applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Python
C
C++
Fortran
Gensim
Google OSS-Fuzz
LibFuzzer
NumPy
PyCharm
scikit-image

Integrations

Python
C
C++
Fortran
Gensim
Google OSS-Fuzz
LibFuzzer
NumPy
PyCharm
scikit-image

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Website

github.com/google/atheris

Vendor Details

Company Name

Cython

Country

United States

Website

cython.org

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