Verified project record

fastai/fastai

fastai provides high-level and low-level deep learning components for software engineers and researchers, covering image, text, and tabular workflows without substantial compromises in ease of use, flexibility, or performance. Users can build common deep learning models using around 5 lines of code.

Project overview

Project type: Data Processing · Image & Vision
Use cases: Coding & Development
Deployment: Refer to project documentation
License: Apache-2.0

Best for

Software engineers and researchers who need to build and train deep learning models using their own datasets with high-level and low-level components.

Key capabilities

Build an image classifier using around 5 lines of code.
Build an image segmentation model using around 5 lines of code.
Build a text sentiment model using around 5 lines of code.
Build a recommendation system using around 5 lines of code.
Build a tabular model using around 5 lines of code.

Limitations and risks

Minimum hardware requirements and operating systems are not documented, and GPU requirements are not documented.

Getting started

Setup is considered easy due to a one-line pip install. Users should first install PyTorch, then run pip install fastai.

Evidence and sources

README: [![PyPI](https://img.shields.io/pypi/v/fastai?color=blue&label=pypi%20version.png)](https://pypi.org/project/fastai/#description) [![Conda (channel only)](https://img.shields.io/c…
README: You can use fastai without any installation by using [Google Colab](https://colab.research.google.com/).
README: You can install fastai on your own machines with: `pip install fastai`. To ensure that you have the best available version of PyTorch on your machine, recommend [installing](https…
README: fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning do…
README: which shows how to use around 5 lines of code to build an image classifier, an image segmentation model, a text sentiment model, a recommendation system, and a tabular model.

Reviewed at: 2026-07-15T02:37:41Z