Perspective is an interactive visualization component for large, real-time datasets. Originally developed for J.P. Morgan's trading business, Perspective makes it simple to build real-time & user configurable analytics entirely in the browser, or in concert with Python and/or Jupyterlab. Use it to create reports, dashboards, notebooks and applications, with static data or streaming updates via Apache Arrow.

Features

• A fast, memory efficient streaming query engine, written in C++ and compiled to WebAssembly, with read/write/stream support for Apache Arrow.

• A framework-agnostic query configuration UI component, based on Web Components, and a WebWorker and/or WebSocket data engine host for stable interactivity at high frequency.

• A customizable HTML Data Grid plugin, and a Chart plugin built on D3FC.

• Integration with Jupyterlab, both natively in a Python kernel, and as a notebook Widget.

• Cross-language streaming and/or virtualization to the browser via Apache Arrow.

• Runtimes for the browser, Python, and Node.js.

Examples

Superstore	Olympics	Custom Styles
Editable	Streaming	CSV
IEX Cloud	NYC Citibike	JupyterLab Plugin

Documentation

• Project Site
• Installation
• Javascript User's Guide
• Python User's Guide
• Developer's Guide
• Conceptual Overview
• Perspective API
• Perspective Viewer API
• Perspective Python API