Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Windsurf Editor Reviews & Ratings
    168 Ratings
    Company Website
  • Google Cloud Run Reviews & Ratings
    343 Ratings
    Company Website
  • Docmosis Reviews & Ratings
    49 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,107 Ratings
    Company Website
  • Apify Reviews & Ratings
    1,291 Ratings
    Company Website
  • TinyPNG Reviews & Ratings
    55 Ratings
    Company Website
  • Declarative Webhooks Reviews & Ratings
    3 Ratings
    Company Website
  • ZeroPath Reviews & Ratings
    2 Ratings
    Company Website
  • Titan Reviews & Ratings
    376 Ratings
    Company Website
  • EasySend Reviews & Ratings
    28 Ratings
    Company Website

What is Cython?

Cython functions as a powerful static compiler that optimizes both the Python language and its extended variant, Cython, which has roots in Pyrex. It greatly simplifies the creation of C extensions for Python, making the process as easy as writing in Python itself. Through Cython, developers are able to leverage the advantages of both Python and C, facilitating smooth interactions between Python code and C or C++ code whenever necessary. By implementing static type declarations in a syntax similar to Python, users can significantly boost the performance of their easily understandable Python code to match that of standard C. Additionally, it offers integrated source code level debugging, which helps developers pinpoint problems within their Python, Cython, and C code efficiently. Cython excels at handling extensive datasets, including multi-dimensional NumPy arrays, which enhances the development of applications in the comprehensive CPython ecosystem. Importantly, Cython enriches Python's capabilities by enabling direct access to C functions and the ability to declare C types for variables and class attributes, thereby improving the overall development experience. This integration of programming languages not only expands the opportunities available to developers but also makes the optimization of Python applications more efficient and streamlined. Consequently, Cython represents a significant tool for anyone looking to maximize performance while maintaining the simplicity of Python's syntax.

What is Atheris?

Atheris operates as a fuzzing engine tailored for Python, specifically employing a coverage-guided approach, and it extends its functionality to accommodate native extensions built for CPython. Leveraging libFuzzer as its underlying framework, Atheris proves particularly adept at uncovering additional bugs within native code during fuzzing processes. It is compatible with both 32-bit and 64-bit Linux platforms, as well as Mac OS X, and supports Python versions from 3.6 to 3.10. While Atheris integrates libFuzzer, which makes it well-suited for fuzzing Python applications, users focusing on native extensions might need to compile the tool from its source code to align the libFuzzer version included with Atheris with their installed Clang version. Given that Atheris relies on libFuzzer, which is bundled with Clang, users operating on Apple Clang must install an alternative version of LLVM, as the standard version does not come with libFuzzer. Atheris utilizes a coverage-guided, mutation-based fuzzing strategy, which streamlines the configuration process, eliminating the need for a grammar definition for input generation. However, this approach can lead to complications when generating inputs for code that manages complex data structures. Therefore, users must carefully consider the trade-offs between the simplicity of setup and the challenges associated with handling intricate input types, as these factors can significantly influence the effectiveness of their fuzzing efforts. Ultimately, the decision to use Atheris will hinge on the specific requirements and complexities of the project at hand.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cython

Company Location

United States

Company Website

cython.org

Company Facts

Organization Name

Google

Company Website

github.com/google/atheris

Categories and Features

Categories and Features

Popular Alternatives

h5py Reviews & Ratings

h5py

HDF5

Popular Alternatives

LibFuzzer Reviews & Ratings

LibFuzzer

LLVM Project
Jazzer Reviews & Ratings

Jazzer

Code Intelligence
Gensim Reviews & Ratings

Gensim

Radim Řehůřek
ToothPicker Reviews & Ratings

ToothPicker

Secure Mobile Networking Lab
go-fuzz Reviews & Ratings

go-fuzz

dvyukov