Evaluation & Testing

TextAttack

A Python framework for adversarial attacks and NLP model training.

Status
Generally available
Last checked
Aging · Sep 4, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

TextAttack is a Python library that enables researchers and developers to perform adversarial attacks, data augmentation, and model training in natural language processing tasks. It's designed to help improve the robustness of NLP models against adversarial examples.

TextAttack stands out by offering a robust set of tools specifically tailored for adversarial attacks and data augmentation in NLP, making it an essential library for researchers and developers focused on enhancing model reliability.

When it fits — and when it doesn’t

A good fit for

  • Researchers looking to test their NLP models' robustness against adversarial attacks

  • Developers needing tools for advanced data augmentation in NLP tasks

  • Teams working on improving the reliability of text classification and generation systems

Look elsewhere if

  • Projects requiring real-time processing capabilities, as TextAttack is designed for offline experimentation

  • Users looking for a comprehensive cloud-based service with managed infrastructure support

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited support for non-English languages

    Most examples and pre-trained models are in English, lacking comprehensive support for other languages

  2. 02

    Resource-intensive operations can be slow on large datasets

    Adversarial attacks and data augmentation processes may require significant computational resources and time

What it does well

  • Supports adversarial attacks to test model robustness

  • Facilitates data augmentation for training more resilient models

  • Provides tools for NLP model training and evaluation

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up TextAttack

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →