Supercharged Elasticsearch Tools for VS Code
Kibana DevTools-like interface, query optimization, mapping validation, and mock data generation — inside your editor.
Kibana DevTools-like Interface
Execute queries and commands directly in VS Code
Bring the power of Kibana DevTools directly into your editor. Execute HTTP requests, manage clusters, and explore your Elasticsearch data without leaving VS Code. Full support for all modern Elasticsearch versions, running anywhere from Elastic Cloud to self-managed clusters.
Key Features:
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HTTP Request Execution: Execute GET, POST, PUT, DELETE requests with interactive request/response panels. -
Smart Configuration: Support for multiple hosts, authentication, and Elastic Cloud ID with smart configuration warnings.
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File Streaming: Stream files into requests using < or @ operators instead of copy-pasting.
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Tabular Data Viewer: Optional tabular view for _cat APIs and search results with copy as cURL functionality.
Smart Features:
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Full IntelliSense: Smart completion for queries, aggregations, and field types with real-time validation.
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Quick Actions: Wrap selections in bool clauses (filter, should, must_not) with keyboard shortcuts.
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50+ Snippets: Pre-built snippets for common queries and aggregations to speed up development.
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JSON Formatting: Format and validate JSON queries with built-in formatting tools.
Advanced Query Editor
IntelliSense and smart completion for Elasticsearch queries
Develop complex Elasticsearch queries with full IntelliSense support. Get smart completion for queries, aggregations, and field types. Use quick actions to wrap selections in bool clauses and format your queries with keyboard shortcuts.
Index Mapping Editor
Transform your index performance with intelligent mapping analysis
Stop guessing about mapping issues that could be silently degrading your cluster performance. Our Index Mappings Reviewer acts as your personal Elasticsearch consultant, uncovering potential issues and performance bottlenecks in your index mappings and templates.
Validation Features:
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Instant Analysis: Simply paste your index mappings and receive comprehensive insights in seconds.
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Performance-First Recommendations: Get actionable, personalized suggestions tailored to your specific mapping structure.
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30+ Mapping Snippets: Pre-built snippets for all field types and mapping patterns.
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Mock Data Generation: Generate realistic test data from your mappings for development and testing.
Generator Features:
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Realistic Data Patterns: Generate data that matches your mapping structure with realistic values and relationships.
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All Field Types Supported: Full support for text, numeric, date, geo, and complex field types.
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Configurable Output: Set document count and customize data generation patterns.
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Easy Integration: Access via Command Palette or right-click context menu on mapping files.
Mock Data Generator
Generate realistic test data from your index mappings
Create realistic test data from your Elasticsearch index mappings. Support for all Elasticsearch field types with configurable document count and data patterns. Perfect for development, testing, and demos.