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 | webcam | movies |
 |  |  |
| superstore | citibike | olympics |
 |  |  |
| jupyterlab | ||
 |
Documentation
- Project Site
- User Guides
- Concepts
- API
Community / Media
- Streaming Cross-Sectional Data Visualization with Perspective + Spark | Tim Bess/Tim Paine, Data + AI Summit 2024
- 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