ESLint parser, plugin, and rule set for GraphQL schemas and operations with custom rule support.
GraphQL-ESLint is an ESLint plugin that provides linting capabilities for GraphQL schemas and operations. It helps developers catch errors, enforce best practices, and maintain consistency in GraphQL code through static analysis. The tool integrates with existing ESLint workflows and supports custom rules for project-specific requirements.
GraphQL developers and teams working with GraphQL schemas and operations who want to improve code quality and enforce standards through automated linting.
Developers choose GraphQL-ESLint because it brings the familiar ESLint experience to GraphQL development, offers comprehensive rule sets for both schemas and operations, and provides extensibility through custom rules while integrating seamlessly with modern GraphQL tooling.
ESLint parser, plugin, and rule set for GraphQL (for schema and operations). Easily customizable with custom rules. Integrates with IDEs and modern GraphQL tools.
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Lints GraphQL schemas for correctness and adherence to standards, as highlighted in the key features for schema validation, helping maintain design consistency.
Validates queries, mutations, and subscriptions against defined schemas to catch errors early, per the operation linting feature in the project description.
Supports creating and configuring custom linting rules for project-specific needs, allowing teams to enforce organization-specific GraphQL standards.
Integrates with popular code editors and development environments, making it easy to adopt in existing workflows, as mentioned in the key features.
Setting up custom rules and integrating with specific GraphQL setups can be complex, requiring users to rely on external documentation beyond the sparse README.
Heavily depends on existing ESLint configurations and tooling, which may not suit teams not already using ESLint or preferring alternative linters.
Cannot detect runtime GraphQL errors or issues in dynamically generated schemas, limiting its effectiveness compared to full-stack validation tools.