# meteor-community-packages/meteor-simple-schema

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915 stars · 162 forks · JavaScript · MIT

## Links

- GitHub: https://github.com/Meteor-Community-Packages/meteor-simple-schema
- Homepage: https://github.com/Meteor-Community-Packages/meteor-simple-schema
- awesome-repositories: https://awesome-repositories.com/repository/meteor-community-packages-meteor-simple-schema.md

## Topics

`cleaning-data` `form-generation` `form-validation` `meteor` `meteor-package` `meteorjs` `schema` `validation`

## Description

This library provides a comprehensive system for defining data schemas and enforcing structural integrity within JavaScript applications. It enables developers to construct declarative rules for complex, nested objects, ensuring that data conforms to expected types and constraints before it is processed or stored. By integrating directly with the Meteor framework, it serves as a central tool for maintaining consistent data structures across collections and remote procedure calls.

The project distinguishes itself through its deep integration with reactive data systems, allowing validation states to automatically trigger interface updates in real time. It features a robust engine capable of recursive validation across deep hierarchies and supports asynchronous validation logic for complex business requirements that depend on external data. Furthermore, the library includes a data cleaning pipeline that automatically handles type casting, string trimming, and the injection of default values to maintain data quality.

Beyond core validation, the system offers extensive capabilities for schema composition, allowing developers to merge and reuse definitions across different application contexts. It includes built-in support for internationalizing error messages, managing named validation contexts for isolated error reporting, and intercepting database operations to prevent malformed data from persisting. The library also provides hooks for custom validation logic and schema inspection to facilitate debugging and development.

## Tags

### Data & Databases

- [Meteor](https://awesome-repositories.com/f/data-databases/data-governance-modeling/data-management-governance/data-integrity-validation/data-validation/meteor.md) — Defining and enforcing data integrity rules for collections and objects within a Meteor application to ensure consistent data structures.
- [Data Validation Libraries](https://awesome-repositories.com/f/data-databases/data-validation-libraries.md) — Serves as a schema definition and validation tool integrated with the Meteor framework to ensure data integrity.
- [Declarative Schemas](https://awesome-repositories.com/f/data-databases/declarative-schemas.md) — Enables declarative schema definition using a structured object-based syntax for complex nested data.
- [Data Cleaning Procedures](https://awesome-repositories.com/f/data-databases/data-cleaning-procedures.md) — Provides a data cleaning pipeline that automatically handles type casting, string trimming, and default value injection.
- [Asynchronous Validators](https://awesome-repositories.com/f/data-databases/data-validation/asynchronous-validators.md) — Supports asynchronous validation logic using promises to handle complex business requirements dependent on external data.
- [Conditional Validation Rules](https://awesome-repositories.com/f/data-databases/field-validation/conditional-validation-rules.md) — Supports conditional validation based on the state of other fields to handle complex business requirements. ([source](https://github.com/meteor-community-packages/meteor-simple-schema#readme))
- [Schema Subsets](https://awesome-repositories.com/f/data-databases/schema-validation-libraries/schema-subsets.md) — The validation library extracts schema subsets by creating new schema instances from existing definitions, allowing for partial data validation in different application contexts. ([source](https://github.com/meteor-community-packages/meteor-simple-schema#readme))
- [Structural Data Validators](https://awesome-repositories.com/f/data-databases/structural-data-validators.md) — Configures structural constraints including types, allowed values, and custom logic to meet complex business requirements. ([source](https://github.com/meteor-community-packages/meteor-simple-schema#readme))

### Software Engineering & Architecture

- [Object Shape Validation](https://awesome-repositories.com/f/software-engineering-architecture/data-schema-validation/data-type-validation/object-shape-validation.md) — Validates data objects against defined schemas to ensure keys, types, and constraints match expected values. ([source](https://github.com/meteor-community-packages/meteor-simple-schema#readme))
- [Data Validation Schemas](https://awesome-repositories.com/f/software-engineering-architecture/data-validation-schemas.md) — Provides a declarative system for defining data schemas and enforcing structural integrity across JavaScript applications. ([source](https://github.com/meteor-community-packages/meteor-simple-schema#readme))
- [Inline Argument Validators](https://awesome-repositories.com/f/software-engineering-architecture/function-argument-validation/build-argument-validation/inline-argument-validators.md) — Validates method arguments against schemas to satisfy security requirements and ensure data integrity. ([source](https://github.com/meteor-community-packages/meteor-simple-schema#readme))
- [Dot-Notation Nested Validators](https://awesome-repositories.com/f/software-engineering-architecture/array-schema-validation/dot-notation-nested-validators.md) — Validates deeply-nested object and array structures using dot notation and array identifiers. ([source](https://github.com/meteor-community-packages/meteor-simple-schema#readme))
- [Custom Validation Functions](https://awesome-repositories.com/f/software-engineering-architecture/custom-validation-rules/asynchronous-validators/custom-validation-functions.md) — Supports attaching custom synchronous or asynchronous functions to fields to enforce complex business rules. ([source](https://github.com/meteor-community-packages/meteor-simple-schema#readme))
- [Data Schema Enforcement](https://awesome-repositories.com/f/software-engineering-architecture/data-schema-enforcement.md) — Intercepts database operations to validate document updates and inserts against structural constraints before persistence.
- [Schema Composition](https://awesome-repositories.com/f/software-engineering-architecture/data-schema-validation/data-type-validation/object-shape-validation/schema-composition.md) — Supports schema composition by merging multiple definitions to promote code reuse and consistency.
- [Modifier Validations](https://awesome-repositories.com/f/software-engineering-architecture/data-schema-validation/database-schema-validations/modifier-validations.md) — Analyzes database update operations to ensure resulting document states remain compliant with defined schemas. ([source](https://github.com/meteor-community-packages/meteor-simple-schema#readme))
- [Recursive Validation Engines](https://awesome-repositories.com/f/software-engineering-architecture/recursive-validation-engines.md) — Features a robust engine for recursive validation across deep object hierarchies using dot notation.
- [Database Operation Interceptors](https://awesome-repositories.com/f/software-engineering-architecture/request-interception-middleware/database-operation-interceptors.md) — Intercepts database operations to verify document updates against schema constraints before persistence.

### Web Development

- [Method Argument Validation](https://awesome-repositories.com/f/web-development/graphql-frameworks-for-meteor/method-argument-validation.md) — Verifies input arguments against defined schemas to ensure remote procedure calls receive valid and expected data structures.
- [JavaScript Schema Validation](https://awesome-repositories.com/f/web-development/javascript-schema-validation.md) — Acts as a comprehensive library for defining structural constraints and enforcing validation rules on complex nested JavaScript objects.

### Security & Cryptography

- [Data Sanitization](https://awesome-repositories.com/f/security-cryptography/data-sanitization.md) — Cleans and normalizes incoming data by trimming strings, injecting defaults, and removing unauthorized keys.
- [Schema-Driven Data Sanitization](https://awesome-repositories.com/f/security-cryptography/data-validation-and-sanitization/schema-driven-data-sanitization.md) — Sanitizes data objects by trimming strings and removing unauthorized keys to ensure schema compatibility. ([source](https://github.com/meteor-community-packages/meteor-simple-schema#readme))

### User Interface & Experience

- [Reactive Form Validation](https://awesome-repositories.com/f/user-interface-experience/form-input-validation/reactive-form-validation.md) — Links schema validation states to user interfaces to provide real-time error feedback.
- [Schema Integrations](https://awesome-repositories.com/f/user-interface-experience/form-input-validation/reactive-form-validation/schema-integrations.md) — Integrates reactive validation by linking schema checks to reactive data sources for real-time state updates. ([source](https://github.com/meteor-community-packages/meteor-simple-schema#readme))
- [Reactive Contexts](https://awesome-repositories.com/f/user-interface-experience/reactive-contexts.md) — Maintains named validation contexts that trigger reactive interface updates when data integrity states change.