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

  • LALAL.AI Reviews & Ratings
    4,694 Ratings
    Company Website
  • LabWare LIMS Reviews & Ratings
    113 Ratings
    Company Website
  • groundcover Reviews & Ratings
    32 Ratings
    Company Website
  • IUX Reviews & Ratings
    905 Ratings
    Company Website
  • MikMak Reviews & Ratings
    84 Ratings
    Company Website
  • NINJIO Reviews & Ratings
    415 Ratings
    Company Website
  • Windocks Reviews & Ratings
    7 Ratings
    Company Website
  • Skillcast Reviews & Ratings
    1,105 Ratings
    Company Website
  • Gearset Reviews & Ratings
    228 Ratings
    Company Website
  • Zengo Wallet Reviews & Ratings
    413 Ratings
    Company Website

What is american fuzzy lop?

American Fuzzy Lop, known as afl-fuzz, is a security-oriented fuzzer that employs a novel method of compile-time instrumentation combined with genetic algorithms to automatically create effective test cases, which can reveal hidden internal states within the binary under examination. This technique greatly improves the functional coverage of the fuzzed code. Moreover, the streamlined and synthesized test cases generated by this tool can prove invaluable for kickstarting other, more intensive testing methodologies later on. In contrast to numerous other instrumented fuzzers, afl-fuzz prioritizes practicality by maintaining minimal performance overhead while utilizing a wide range of effective fuzzing strategies that reduce the necessary effort. It is designed to require minimal setup and can seamlessly handle complex, real-world scenarios typical of image parsing or file compression libraries. As an instrumentation-driven genetic fuzzer, it excels at crafting intricate file semantics that are applicable to a broad spectrum of difficult targets, making it an adaptable option for security assessments. Additionally, its capability to adjust to various environments makes it an even more attractive choice for developers in pursuit of reliable solutions. This versatility ensures that afl-fuzz remains a valuable asset in the ongoing quest for software security.

What is NLTK?

The Natural Language Toolkit (NLTK) is a powerful, open-source Python library designed for the analysis and processing of human language data. It offers user-friendly access to over 50 corpora and lexical resources, like WordNet, alongside a diverse range of text processing tools that aid in tasks such as classification, tokenization, stemming, tagging, parsing, and semantic analysis. In addition, NLTK provides wrappers for leading commercial NLP libraries and maintains an active community forum for user interaction. Complemented by a user-friendly guide that integrates programming fundamentals with concepts from computational linguistics, as well as comprehensive API documentation, NLTK appeals to a broad spectrum of users, including linguists, engineers, students, educators, researchers, and industry professionals. This library is versatile, functioning seamlessly on various operating systems such as Windows, Mac OS X, and Linux. Notably, NLTK is a free and open-source project that benefits from contributions by the community, which ensures its ongoing development and support. Its vast array of resources and tools solidifies NLTK's status as an essential asset for anyone pursuing knowledge in the realm of natural language processing, fostering innovation and exploration in the field.

Media

Media

Integrations Supported

Python
C
C++
ClusterFuzz
FreeBSD
Go
Google ClusterFuzz
Java
NetBSD
OCaml
Objective-C
OpenBSD
QEMU
Rust
TextBlob

Integrations Supported

Python
C
C++
ClusterFuzz
FreeBSD
Go
Google ClusterFuzz
Java
NetBSD
OCaml
Objective-C
OpenBSD
QEMU
Rust
TextBlob

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

Google

Company Location

United States

Company Website

github.com/google/AFL

Company Facts

Organization Name

NLTK

Company Website

www.nltk.org

Categories and Features

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Popular Alternatives

afl-unicorn Reviews & Ratings

afl-unicorn

Battelle

Popular Alternatives

LibFuzzer Reviews & Ratings

LibFuzzer

LLVM Project
Gensim Reviews & Ratings

Gensim

Radim Řehůřek
Honggfuzz Reviews & Ratings

Honggfuzz

Google