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Frontend Regression Validator

github.com

Free plan WebmacOSLinuxAPISelf-hosted
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Spec score 8.1 #7 of 26 in Visual Regression Testing Software

Spec sheet

Purpose
FRED is an open-source visual regression tool for automatically comparing baseline and updated website instances.Read 4 Oct 2026 · github.com
Deployment
The repository documents running FRED as a Docker container or as a local process.Read 4 Oct 2026 · github.com
Integrations
The README describes API calls and Docker deployment but does not name third-party integrations.Read 4 Oct 2026 · github.com
License
The repository includes an Apache License 2.0, which grants no-charge, royalty-free rights subject to its terms.Read 4 Oct 2026 · github.com
Checks
It compares console and network logs, screenshots, and optionally screenshots using machine-learning analysis.Read 4 Oct 2026 · github.com
Interfaces
Users interact with FRED through a web UI or API.Read 4 Oct 2026 · github.com
Model training
Version 2.x does not include code to train or retrain the machine-learning model; the repository points users to the v1 folder for that code.Read 4 Oct 2026 · github.com
Resource needs
The README recommends at least 8 GB of Docker memory and preferably 16 GB, especially when using machine learning.Read 4 Oct 2026 · github.com
Results
Results are saved locally and include divergence scores and links to raw and analysis images.Read 4 Oct 2026 · github.com
Runtime
The documented rule of thumb for a machine-learning-enabled crawl is one minute or less per page, while crawl time varies with site complexity.Read 4 Oct 2026 · github.com
Scalability
FRED has an internal queue and can process websites in parallel depending on available RAM, CPUs, or GPUs.Read 4 Oct 2026 · github.com
Visual AI
Its image-segmentation analysis identifies high-level text and image structures to reduce false positives from dynamic content.Read 4 Oct 2026 · github.com
Workflow
A comparison starts with two URLs, which FRED crawls to find pages to render and compare.Read 4 Oct 2026 · github.com

Plans and prices

Open-source Free Apache-2.0 licensed software · run locally or with Docker · no paid plans stated Read 4 Oct 2026 · github.com

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