appbaseio/dejavu
Dejavu
Dejavu is a containerized administration panel and web interface for managing data within Elasticsearch and OpenSearch clusters. It serves as a search index management tool for browsing, editing, and deleting records through a visual explorer rather than raw API queries.
The project distinguishes itself by providing a search interface prototyping tool. This allows users to visually design search screens to test result relevancy and export the final layout configuration as usable code.
The tool covers broad data management capabilities, including structured data import from CSV or JSON files via guided mapping and filtered data export. It includes global text search and native data type filters to isolate records for debugging and manual correction.
The application is packaged as a container image and supports deployment through Docker Compose orchestration.
Features
- Search Index Management - Provides a comprehensive visual interface for configuring, querying, and maintaining search indices in Elasticsearch and OpenSearch clusters.
- Elasticsearch Management UIs - Provides a web-based graphical interface for the administration and management of Elasticsearch clusters.
- Data Exploration Tools - Provides a visual explorer for sifting through search engine records using global text search and type filters.
- Document Management Interfaces - Provides a visual explorer to browse, update, and delete records individually or in bulk across indices.
- Search Engine Debugging Tools - Enables filtering and searching through large datasets to isolate specific records for troubleshooting or manual correction.
- Search Interface Prototyping - Provides tools to visually design search screens, test result relevancy, and export the layout as production code.
- OpenSearch Index Administration - Provides a web-based interface for managing data and mappings within OpenSearch clusters.
- Search Interface Prototypes - Ships a visual builder to design search screens and export the final layout configuration as usable code.
- Search Interface Prototypes - Enables visual design of search screens to test result relevancy and export layouts as production-ready code.
- Administrative Panels - Ships as a containerized administrative panel for managing search engine backends and their interfaces.
- Schema-Driven Filter Generation - Automatically generates interface filters based on the native data types detected within connected search indices.
- Filtering - Allows users to export the current filtered view of search data into JSON or CSV files.
- File-Based Data Import - Supports loading structured data from CSV or JSON files into search clusters via guided mapping.
- Import Column Mappings - Provides a guided configuration process to map external CSV and JSON fields to search engine data types.
- Relational Data Migrators - Facilitates the migration of structured CSV or JSON data into search indices with guided mapping.
- Configuration Exporting - Serializes visual search layouts and query parameters into portable code for use in sandbox environments.
- Docker Container Deployments - Packages the application as a container image to ensure consistent environment setup and deployment.
- Compose Orchestrations - Supports orchestrating the deployment of the UI and search engine backend using Docker Compose files.
- Containerized Deployments - Packages the administration panel and search engines into images for consistent deployment across environments.
- Search Filters - Implements global text search and native data type filters to isolate specific records within search indices.
- Notes & Productivity - Web-based data browser and UI for Elasticsearch.
Star history
How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
