A Vue.js form validation library with declarative components and composition API support.
vee-validate is a form validation library for Vue.js applications that provides both declarative component-based and composition API approaches. It solves the problem of implementing robust form validation with clean syntax while maintaining flexibility and developer control over the UI.
Vue.js developers building forms in web applications who need reliable validation with support for complex scenarios like async validation, internationalization, and integration with various UI libraries.
Developers choose vee-validate for its intuitive API that feels native to Vue.js, its minimal footprint that doesn't take over the entire form implementation, and its flexibility to work with any UI components while providing comprehensive validation features.
✅ Painless Vue forms
Supports synchronous, asynchronous, field-level, and form-level validation, allowing seamless handling of complex scenarios like API calls or conditional rules as shown in the README examples.
Works with native HTML elements or any UI library components, giving developers full control over form UI without imposing styling decisions, which aligns with its minimal philosophy.
Includes 45+ locales for validation messages contributed worldwide, making it easy to support multiple languages without additional setup or external packages.
Functions well with Vue.js in both simple progressive enhancement and complex application setups, ensuring versatility across different project scales as highlighted in the features.
Requires careful version management with separate releases for Vue 2.x and 3.x, leading to potential migration challenges and confusion, as noted in the support table.
The minimal approach necessitates more code for UI integration and error handling compared to more opinionated libraries, since it doesn't provide pre-styled components.
Offers both Composition API and declarative component styles, which can confuse developers new to Vue 3 or those transitioning between paradigms, adding to the learning curve.
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