oxlint downloads — last 12 months
Oxlint is a high-performance JavaScript and TypeScript linter designed with speed and developer experience at its core. It aims to catch common programming errors and enforce coding style consistency across projects, significantly reducing the time spent on debugging and code reviews. This tool addresses the need for a linter that doesn't become a bottleneck in modern, fast-paced development workflows, especially within large codebases.
Its primary philosophy revolves around providing quick feedback loops without compromising on the depth of analysis. Oxlint is built for developers who value efficiency and seek to integrate linting seamlessly into their development process, from local editing to CI/CD pipelines. The tool's design prioritizes ease of configuration and immediate actionable insights, making it accessible to both individual developers and large teams.
Key architectural patterns in Oxlint include its Rust-based core for maximum performance and its plugin system for extensibility. It supports a rich set of built-in rules and allows custom rule creation through its API. The CLI provides commands like `oxlint init` for project setup and `oxlint lint` for analysis, facilitating immediate integration into existing workflows.
Oxlint integrates smoothly with popular JavaScript and TypeScript ecosystems, including frameworks like React, Vue, and Node.js. It can be easily incorporated into bundlers and build tools, and its output is compatible with many IDEs, providing real-time feedback. This broad compatibility ensures that developers can adopt Oxlint without disrupting their established tooling and development environments.
With a reported bundle size of only 76 B (gzip), Oxlint is exceptionally lightweight, ensuring minimal impact on project build times and application performance. This efficiency is a key design goal, allowing it to operate at speeds that are orders of magnitude faster than traditional JavaScript-based linters, as indicated by its frequent high download numbers.
While highly performant, developers should be aware that the feature set, while extensive, might still be evolving compared to more established linters. The relatively high number of open issues suggests active development and areas where community contribution is ongoing, which is typical for software with a rapid update cycle like its last update in 2026-06-02.
- When aiming for sub-millisecond linting feedback during active development, leveraging oxlint's performance.
- When integrating linting into CI/CD pipelines where build times are critical, due to its minimal unpacked size of 1.6 MB.
- When working with large JavaScript or TypeScript codebases where traditional linters introduce significant delays.
- When needing to enforce a consistent coding style across many projects using its extensive static analysis capabilities.
- When exploring modern JavaScript compilation techniques alongside linting, given its description as a linter for the JavaScript Oxidation Compiler.
- When adopting tooling that prioritizes speed and a low resource footprint, as indicated by its small gzip bundle size.
- If you require a linter with a decades-long history of rule stability and very few open issues, consider alternatives with a longer track record.
- If your project's specific linting needs are only met by highly specialized rules not yet available in oxlint or its plugin ecosystem.
- If runtime performance of the linter itself is less of a concern than the breadth of community-contributed rules found in more established tools.
- When setting up linting for a minimal project where the performance benefits of oxlint may not be the primary driver for adoption.
- If you are building a tool that itself needs to parse and analyze JavaScript or TypeScript code and require a deeply introspectable API that goes beyond linting.
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