perspect 2.6.1

Python bindings and JupyterLab integration for Perspective

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

editable	file	fractal
market	raycasting	evictions
nypd	magic	streaming
covid	movies	superstore
citibike	olympics	jupyterlab

Documentation

• Project Site
• User Guides
  • Javascript User Guide
  • Python User Guide
  • Developer Guide
• Concepts
  • Table
  • View
  • Expression Columns
  • Data Binding
• API
  • Perspective API
  • Perspective Viewer API
  • Perspective Python API

Community / Media

• Streaming, cross-sectional data visualization in JupyterLab | Junyuan Tan, JupyterCon 2020
• Perspective in 3D | Andrew Stein, Open Source in Finance Forum NYC 2022
• Build an order book simulation with Perspective | Andrew Stein, FINOS Open Source in Fintech Meetup 2021
• Perspective project case study | FINOS