Head-to-Head: Loki vs Pixelmatch Analysis


v0.32.0(4 months ago)

This package is actively maintained.The package doesn't have any types definitionsNumber of direct dependencies: 8Monthly npm downloads

Loki is a lightweight JavaScript in-memory database that provides a simple and efficient way to store and query data. It is designed to be used in browser-based applications and offers a flexible and intuitive API for managing data collections and performing CRUD operations.

Alternatives: mongodb, sqlite, indexeddb

Tags: javascriptdatabasein-memorypersistencequerying


v5.3.0(over 1 year ago)

This package was last published over a year ago. It may not be actively maintained.Types definitions are provided via a separate npm package: @types/pixelmatchNumber of direct dependencies: 1Monthly npm downloads

Pixelmatch is a lightweight and fast JavaScript library for image comparison and pixel-level image diffing. It is commonly used in automated visual regression testing to detect visual differences between images. Pixelmatch provides an easy-to-use API for comparing images pixel by pixel and generating diff images that highlight the differences.

Alternatives: resemble.js, blink-diff, pixelmatchjs

Tags: javascriptimage-comparisonvisual-regression-testingpixel-level-diffing



Loki and Pixelmatch are both popular npm packages, but they serve different purposes and have different levels of popularity within their respective domains. Loki is a JavaScript in-memory database with a smaller user base compared to Pixelmatch, which is a popular image comparison library.


Loki provides a lightweight and efficient in-memory database solution for JavaScript applications. It supports various query capabilities and allows for easy data manipulation and storage. Pixelmatch, on the other hand, is specifically designed for image comparison, offering pixel-level analysis, including image diffing, blending, and masking features.

Use Cases

Loki is well-suited for applications that need a client-side in-memory database solution, such as browser-based games or small-scale applications that require immediate data access without network requests. Pixelmatch is commonly used in automated testing frameworks or image diffing scenarios where visual comparisons are needed, like verifying changes in UI elements or detecting visual regressions.


Loki is not designed to handle large datasets or heavy processing loads, as it is primarily an in-memory database. It works best for small to medium-sized applications. Pixelmatch, on the other hand, is scalable and can handle image comparison tasks efficiently, even with large image sets.


Loki is known for its lightweight nature and efficient performance, especially when dealing with small datasets. It provides fast data access and manipulation operations. Pixelmatch is optimized for image comparison tasks and delivers good performance, especially when dealing with pixel-level analysis and image diffing.

Developer Experience

Loki offers a simple and easy-to-use API for managing data in the in-memory database. It has good documentation, but its learning curve might be a bit steeper for beginners due to its unique approach. Pixelmatch also provides a straightforward API for image comparison tasks, making it relatively easy for developers to integrate into their projects.


Both Loki and Pixelmatch are actively maintained by their respective communities. However, it's worth noting that Loki has been around for a longer time and has a more mature codebase, while Pixelmatch has gained popularity in recent years and has a more vibrant and active community.