This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
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
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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.
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A framework-agnostic User Interface packaged as a Custom Element, powered either in-browser via WebAssembly or virtually via WebSocket server (Python/Node).
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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
- Concepts
- 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
Metadata
Release files for perspect 2.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| perspect-2.6.1.tar.gz | 17.6 MB | Details |
Release files / perspect-2.6.1.tar.gz
| Download URL | perspect-2.6.1.tar.gz |
|---|---|
| Size | 17.6 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
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