openstatusHQ/data-table-filters

Features

• Data Table Components - Builds rich, interactive data tables with custom cell rendering, sorting, and schema configuration for web applications.
• Table Schema Registrations - Defines columns, filters, sorting rules, and row details in a single centralized location.
• Data Filtering - Refines large data sets by applying checkboxes, text inputs, sliders, and time ranges to narrow down visible records.
• ORM-Based Scan Database Queries - Constructs server-side database queries with sorting rules, cursor pagination, and faceted counts using ORM database helpers.
• Infinite Scrolling Pagination - Fetches and appends data incrementally as the user scrolls down the table using asynchronous query hooks.
• Faceted Navigation - Provides UI components for filtering data using checkboxes, sliders, and date ranges to narrow down records.
• Server-Side Filtering & Sorting - Processes query filters directly in the database using an ORM to handle large datasets efficiently without loading all records.
• Interactive Tabular Filtering - Applies custom search criteria across multiple columns and fields to narrow down data table rows based on user input.
• List Virtualization - Virtualizes table rows and fetches data incrementally as users scroll to maintain high performance with massive datasets.
• Data Filters - Constructs rich filter interfaces for data tables using text search, checkboxes, numerical sliders, and date range pickers.
• Data Tables - Builds interactive data tables with server-side filtering, faceted search, and virtualized rows using TypeScript.
• Declarative Table Factories - Defines columns, filters, sorting, and row details in one centralized place using declarative factories.
• Row Pinning - Renders only the visible rows in the viewport to maintain high performance with massive collections.
• URL State Synchronization - Synchronizes table filter parameters with browser URL query strings so users can share, bookmark, or restore their exact view state.
• Virtual Scrolling - Maintains high rendering performance for massive tabular datasets by using infinite scrolling and viewport row virtualization.
• URL State Management - Synchronizes user filter states and table views with browser query parameters for easy bookmarking and sharing.
• Batch Row Operations - Selects multiple rows and runs batch operations on grouped selections to streamline record management.
• In-Memory State Management - Handles sorting, pagination, and filter states locally within the application memory for responsive client-side interaction.
• Pluggable State Backends - Handles filter and table state using interchangeable storage adapters including URL parameters, client stores, or memory.
• Filter Backends - Adapts filter state storage to external systems like URL parameters or global state stores using a pluggable adapter system.
• Tabular Data Filtering - Refines data table rows dynamically using specific attributes like time ranges, status levels, URLs, methods, and latency ranges.
• Command Palettes - Provides a command palette interface with search history and keyboard shortcuts for rapid filtering and navigation.
• Zero-Configuration Generators - Builds interactive data tables by automatically inferring columns and display types without manual setup.
• Bulk Selection Operations - Allows selecting multiple rows simultaneously to run batch actions across the targeted data set.
• Interactive Cell Rendering - Displays tabular data using specialized cell renderers for text, code, badges, booleans, and timestamps.
• Server-Side Renderings - Queries and filters large datasets on the backend using database query builders to keep client footprints small.

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