DATA VALIDATION FOR DART & FLUTTER

Good data.
From the start.

Define a schema. Parse typed values, transform input, and get structured issues when validation fails.

Start validating Explore the schemas

dart pub add acanthisOne package. Dart & Flutter.

Your first schemaDart

dart

import 'package:acanthis/acanthis.dart';

final account = object({
  'name': string().min(2),
  'email': string().email(),
});

final result = account.tryParse({
  'name': 'Ada',
  'email': 'ada@example.com',
});

print(result.isValid); // true
if (result is AcanthisValid<Map<String, Object?>>) {
  print(result.value['name']); // Ada
}

Define once. Reuse wherever data comes in.

FROM INPUT TO CONFIDENCE

Every detail.
Checked.

Give your data a shape. Get validated values or an issue that points to what needs fixing.

01 / DESCRIBE02 / CHECK03 / USE WITH CONFIDENCE

MEET ACANTHIS 2.0

An edit.
A check.
A clear answer.

Keep validation close to the field. Live sessions track edits, async checks, and useful errors as your data changes.

Explore live validation

A little room to experiment PREVIEW

Email address

Email looks good.

Try an example

FIELD RESULTValid

/account/email

This field is ready to use.

Illustrative preview with a simulated async check.

THE DOCUMENTATION

A clear path from input to output.

Quick start

Define an object, parse input, and handle issues in a few examples.

Find your schema

From a single email to nested objects. Find types, constraints, and examples.

Results and issues

Read paths and codes, localize messages, or send issues to a client.

Already using Acanthis?

Live validation →JSON Schema →Migrating to 2.0 →