finos/perspective
Perspective
Perspective is a columnar data analytics library and streaming data visualization engine. It provides an interactive data grid component and notebook analytics widgets designed for processing high-volume data and rendering interactive charts and grids.
The system utilizes a high-performance query engine to enable real-time data analysis and streaming dataset visualization. It supports the creation of customizable dashboards and reports that update automatically as new data arrives without requiring full dataset reloads.
The project covers large-scale dataset analytics through a schema-driven data model and columnar memory storage. It includes capabilities for virtualized grid rendering and integration with notebook environments for exploratory data analysis.
The engine includes a pluggable interface for querying external data sources and utilizes WebAssembly for executing queries in the browser.
Features
- Columnar Data Processors - A high-performance engine for processing high-volume data organized in columns using a memory-efficient expression language.
- Real-Time Charting Engines - Implements a high-performance engine for rendering interactive charts and grids from real-time streaming data.
- Columnar Storage Engines - Implements storage formats optimized for analytical workloads by organizing data in memory by column.
- Interactive Data Grids - Provides a high-performance interactive grid for exploring and filtering massive datasets.
- Client-Side Incremental State Updates - Applies incremental data updates to the client UI state to avoid full page re-renders during streaming.
- Real-Time Data Processors - Processes and transforms data streams in real-time to provide continuous analytics and visual updates.
- Data Visualization - Renders structured data into interactive tables and charts via a universal interface for local or remote models.
- Streaming Visualizations - Renders interactive analytics and reports from massive streaming datasets using windowing techniques for performance.
- Real-Time Data Streaming - Provides a platform for processing and delivering high-volume data streams in real-time for pattern identification.
- WebAssembly Engines - Executes high-performance data queries and aggregations in the browser using a WebAssembly-compiled engine.
- Schema-Driven Data Modeling - Uses a defined structure for columns and types to optimize how data is indexed and retrieved.
- Large Dataset Optimizations - Employs optimization strategies to maintain high interface responsiveness when processing and rendering massive datasets.
- Virtualisation Engines - Optimizes performance by recycling DOM elements to render only visible cells of massive data tables.
- Notebook Analytics - Offers dedicated interactive widgets for performing data analysis and reporting within notebook environments.
- Custom Reporting Engines - Enables users to define custom data views and queries through interactive dashboards and notebooks.
- Notebook Environments - Provides dedicated widgets and client libraries for interactive data analysis within notebook environments.
- Data Science Notebooks - Embeds interactive data widgets into notebooks for exploratory analysis and visualization of diverse data sources.
- Storage Engine Interfaces - Provides architectural abstractions that decouple data management logic from the physical external storage implementations.
- Visualization and Analysis - High-performance streaming pivot visualization via WebAssembly.
- Data Analysis and Visualization - Interactive component for large, streaming, and static datasets.
- Data Visualization - High-performance analytics and visualization for large streaming datasets.
