Urnerys is a self-hosted web service for visual regression testing. It enables automated verification of user interfaces to catch unintended changes before they reach production, with the entire platform running on the user's own infrastructure.
A central web interface supports manual review of visual differences, baseline management, and team workflows. The service exposes a REST API for uploading image snapshots from CI/CD pipelines and handles large binary payloads at high frequency. Automated workflows trigger comparisons with every pull request. It is built for developers and includes first-class GitHub integration, SDKs, and setup guides for common web frameworks.
Urnerys requires no external database, cache, or storage services. It runs on standard hardware using 1 CPU and 4 GB of RAM to support approximately 20 engineers, with storage averaging 1 GB for every 5,000 to 10,000 images. Deployment uses a Docker image or Nix derivation on any host.
Licensing follows a one-time purchase model with no recurring per-image or per-user fees and includes minor version updates. The Solo tier costs $100 for private individuals or startups with up to three employees and provides a single service instance plus all visual diff tools. The Team tier costs $600 for companies with fewer than 20 employees and less than $5 million in revenue, adding unlimited service instances, GitHub integration support, and basic setup assistance. The Enterprise tier costs $2,500 with no restrictions on team size or revenue and includes unlimited usage, a priority support channel, and engineering support for self-hosted deployments. Licenses remain permanent even if a company grows.
Urnerys sits in PulseGate's Testing & QA category. It focuses on detecting and preventing unintended UI changes in web applications through automated visual testing. It is built as a B2B product for software engineers and QA teams. Pricing is paid, from $199. It ships for the web, the command line, and API, and it can be self-hosted.
Urnerys first shipped in 2024. Key capabilities include visual regression testing, self-hosted deployment, and REST API. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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