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Dejavu

A Web UI for Elasticsearch and OpenSearch: Import, browse and edit data with rich filters and query views, create reference search UIs.

Dejavu

A Web UI for Elasticsearch and OpenSearch: Import, browse and edit data with rich filters and query views, create reference search UIs.

Author Avatar Theme by appbaseio
Github Stars Github Stars: 8428
Last Commit Last Commit: Jul 23, 2025 -
First Commit Created: Aug 8, 2025 -
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Overview

Dejavu is an innovative web UI designed specifically for OpenSearch and Elasticsearch. With its focus on providing a smooth and intuitive user experience, it eliminates page reloads and enhances data interaction through features such as infinite scrolling and real-time updates. As a tool that offers 100% client-side rendering, Dejavu can be effortlessly hosted on GitHub pages or deployed as a Docker image, making it versatile for various deployment scenarios.

From importing data in JSON or CSV formats to building custom search interfaces, Dejavu stands out as a powerful solution for users looking to maximize their interaction with Elasticsearch. With its robust capabilities and user-centric design, it sets a high standard for data management interfaces in modern web applications.

Features

  • Easily Connect and Remember Indices: Connect to any index in your cluster, with local caching for easy access in future sessions.
  • Visual Filters: Utilize native data types to filter views visually and export filtered data as JSON or CSV files.
  • Modern UI Elements: Navigate large datasets easily with pagination and support for browsing multiple indexes and bulk updates.
  • Import JSON or CSV Data: Leverage a guided mapping configuration to import your data directly into Elasticsearch effortlessly.
  • Build Search UIs: Create and test visual search UIs, with capabilities to export your code to CodeSandbox for easy sharing and collaboration.
  • Enhanced Filtering: Starting from version 1.5, implement custom headers for improved authentication and filtering options.
  • Global Search Functionality: Access multiple indexes simultaneously with a global search bar introduced in version 3.0, streamlining your data retrieval process.