Dejavu screenshot

Dejavu

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Updated: 23 Jul 2025
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A Web UI for Elasticsearch and OpenSearch: Import, browse and edit data with rich filters and query views, create reference search UIs.

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.