14 repositorios
Automated mechanisms for updating displayed data views at defined intervals.
Distinguishing note: Focuses on UI state synchronization rather than background data processing.
Explore 14 awesome GitHub repositories matching data & databases · Data Refresh Scheduling. Refine with filters or upvote what's useful.
DBeaver is a universal database client and administration environment designed for managing diverse relational and non-relational database systems. It provides a unified graphical interface that enables users to perform data manipulation, schema migration, and performance monitoring across multiple platforms. By utilizing a standardized driver abstraction layer, the application translates generic requests into database-specific commands, ensuring consistent interaction regardless of the underlying technology. The project distinguishes itself through an extensible, plugin-based architecture th
Keeps database views current by scheduling automatic data refreshes.
Filament is a full-stack framework for building administrative panels and management interfaces within the Laravel ecosystem. It provides a declarative, component-based architecture that allows developers to construct complex, data-driven applications using server-side configuration objects rather than manual HTML. By inspecting database model structures and relationships, the framework automates the generation of CRUD interfaces, forms, and data tables, significantly reducing boilerplate code. The project distinguishes itself through a highly modular and extensible design that supports custo
Updates widget content automatically at configurable intervals to ensure users view current information.
DataEase is an open-source, self-hosted business intelligence platform designed for building interactive data visualizations and managing analytical reporting. It provides a centralized environment where users can construct dashboards through a drag-and-drop interface, connecting to diverse data sources including relational databases, data warehouses, and external APIs. The platform distinguishes itself through its focus on embedded analytics and enterprise-grade governance. It allows for the seamless integration of charts, dashboards, and management modules into third-party web applications
Configures automated intervals to periodically pull and refresh remote data sources.
Unstructured is an enterprise-grade data orchestration engine designed to transform raw, unstructured files into structured, machine-readable formats. It functions as a comprehensive platform for document ingestion, partitioning, and enrichment, specifically engineered to prepare complex data for retrieval-augmented generation and agentic AI workflows. The platform distinguishes itself through its sophisticated document processing strategies, which combine rule-based extraction with vision-language models to handle diverse file layouts, tables, and images. It provides a modular architecture t
Manages the continuous routing and processing of documents to ensure systems remain updated with current enterprise data.
mui is a mobile UI component framework and native-like web UI kit designed for building high-performance mobile web interfaces. It functions as a mobile web performance framework and gesture-based interface library to eliminate browser lag and mimic the behaviors and animations of native mobile applications. The framework focuses on implementing common mobile UX patterns, including pull-to-refresh functionality, swipe-to-action menus, and sliding side navigation. It provides specialized tools for gesture-driven interface development to ensure an immediate visual response to touch interactions
Automatically reloads data during the first page load to ensure current content display.
dbt-core is a command-line framework for transforming data within a warehouse using modular SQL and version control. It functions as a data transformation engine that enables users to define data structures and business logic through declarative configuration files, which the system then compiles into executable code. By managing complex data dependencies through a directed acyclic graph, it ensures that transformation tasks execute in the correct order while maintaining a manifest-driven state to track lineage and execution history. The project distinguishes itself through an adapter-based d
Maps data models to downstream dashboards and triggers automatic refreshes during scheduled transformation jobs.
Bootstrap Table is a jQuery plugin for rendering interactive data grids with sorting, pagination, and filtering. It features a remote data integration system for fetching and synchronizing content from JSON endpoints using AJAX and server-side processing. The project includes a styling layer that adapts markup to work with various CSS frameworks, such as Bootstrap, Semantic UI, Bulma, and Material Design. It provides specialized rendering modes, including a hierarchical tree grid for parent-child row relationships and a responsive card-view table that transforms grids into mobile-friendly lay
Automatically reloads table content at fixed time intervals to ensure displayed information remains current.
Homer is a JSON-driven web dashboard and self-hosted application portal that serves as a centralized entry point for server-hosted tools. It functions as a static home page and service launcher, organizing application links and shortcuts into a configurable grid. The project distinguishes itself through its ability to act as a service status dashboard, fetching real-time health metrics and version data from remote APIs to display on service cards. It further supports a progressive web app model for standalone installation and includes a fuzzy search system to quickly locate services across th
Automatically refreshes service information using a centralized scheduler with global and per-service timing.
Dashing is a Ruby dashboard framework used to build real-time, full-screen data displays. It employs a Ruby domain-specific language for defining data sources and visual components, utilizing a grid-based widget system to organize information for automated visual reporting. The framework is optimized for television screens and large monitors in office or operations environments. It implements a server-sent events architecture to push live data updates from any source directly to the browser. The system includes a background job scheduler for periodic data refreshes and automated metric repor
Automates the periodic refreshing of dashboard data views to keep metrics up to date.
RisingWave is a cloud-native streaming database and real-time analytics engine that uses standard SQL to process continuous data streams. It functions as a streaming data lakehouse, combining the capabilities of a streaming SQL database with a platform that integrates streaming ingestion with open table formats. The system is distinguished by its use of the PostgreSQL wire protocol, allowing it to integrate with existing SQL tools and drivers. It employs a decoupled compute and storage architecture, persisting streaming state and materialized views in cloud object storage to enable independen
Delivers transformed streaming results to data warehouses, lakes, or brokers to keep downstream systems current.
Riverpod is a reactive state management framework for Dart that manages application state through providers which automatically track dependencies and rebuild dependents when values change. It functions as an asynchronous data caching library, caching results of async operations and exposing loading, error, and data states to widgets without manual future handling. The framework includes a provider composition system that combines multiple providers into derived values that recompute automatically when any dependency changes, along with code generation for state providers that reduces boilerpl
Provides a built-in mechanism to differentiate initial loading spinners from refresh indicators that preserve stale data.
Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
Creates and manages materialized views that automatically refresh data from source tables based on defined schedules.
Runs the deployment workflow on a recurring schedule defined by a cron expression in the workflow file.
Chartbrew is a self-hosted business intelligence platform and data visualization engine designed to transform raw data from SQL databases and external API endpoints into interactive charts and dashboards. It serves as a tool for building analytics dashboards that monitor business metrics and KPIs through a privately hosted environment. The platform distinguishes itself with an embedded analytics workflow, allowing users to generate secure, time-limited shared links and iframes to display private charts on external websites. It also provides programmatic chart generation via API and integrates
Schedules automated updates of data sources to keep visualizations current.