3 Repos
Interfaces for displaying and filtering data in various formats like tables or calendars.
Distinguishing note: Focuses on configurable data presentation rather than raw data analysis.
Explore 3 awesome GitHub repositories matching user interface & experience · Data Visualization Views. Refine with filters or upvote what's useful.
Twenty is a headless customer relationship management framework that enables developers to build, version, and deploy custom business applications using code. By utilizing a declarative approach to data modeling, the platform allows for the definition of custom objects, fields, and complex relationships directly within the source code. This schema-driven architecture automatically generates corresponding REST and GraphQL APIs, ensuring that data structures and interface components remain synchronized across development and production environments. The platform distinguishes itself through a m
Display custom fields in table views by toggling visibility and reordering columns through the field options menu.
QWidgetDemo is a collection of reusable GUI components, layout templates, and a desktop UI framework built with the Qt framework. It functions as a component library for creating modern graphical user interfaces, ranging from system event managers and network debugging toolsets to multi-channel video dashboards. The project focuses on creating specialized user interface elements, including frameless windows, flat design aesthetics, and custom themes. It provides the means to implement specialized controls such as battery indicators, resource monitors, and IP address inputs. Its capabilities
Integrates interactive visualizations, lunar calendars, and paginated database views for complex data presentation.
Baserow is a no-code relational database and application builder that allows users to create structured data tables and business tools through a visual interface. It functions as a headless REST API data backend and a self-hosted data workspace, providing a platform for managing collaborative databases while maintaining full control over data residency. The platform integrates large language models to serve as an LLM-powered data platform, capable of generating database structures, record content, and technical workflows from natural language. It also acts as a Model Context Protocol server,
Displays database records in multiple configurable formats, including Grid, Kanban, and Timeline views.