miguelgargallo / perspective

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

Perspective is an interactive analytics and data visualization component, which is especially well-suited for large and/or streaming datasets. Use it to create user-configurable reports, dashboards, notebooks and applications, then deploy stand-alone in the browser, or in concert with Python and/or Jupyterlab.

Features

• A fast, memory efficient streaming query engine, written in C++ and compiled for both WebAssembly and Python, with read/write/streaming for Apache Arrow, and a high-performance columnar expression language based on ExprTK.

• A framework-agnostic User Interface packaged as a Custom Element, powered either in-browser via WebAssembly or virtually via WebSocket server (Python/Node).

• A JupyterLab widget and Python client library, for interactive data analysis in a notebook, as well as scalable production Voila applications.

Examples

Movies	Magic	NFT
NYPD CCRB	Olympics	COVID
Custom Styles	BTC	Fractal
Editable	Maps Airports	Streaming
NYC Citibike	JupyterLab Plugin	Maps Citibike
Polygon.io	CSV	Superstore

Documentation

• Project Site
• Table
• View
• Javascript User Guide
• Python User Guide
• Data Binding
• Developer Guide
• Perspective API
• Perspective Viewer API
• Perspective Python API

Community

• perspective-viewer-maps OpenLayers/OpenStreetMap plugin
• Scott Logic / Perspective Plugin API - How to build a new plugin
• Streaming, cross-sectional data visualization in Jupyterlab | Junyuan Tan, JupyterCon 2020