# perspective-dev/perspective

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

Repository: https://github.com/perspective-dev/perspective
Canonical: https://ross.abutalabs.com/products/perspective
Homepage: http://perspective-dev.github.io/
Language: Rust
License: Apache-2.0
License Family: permissive
Topics: webassembly, data-visualization, real-time, analytics, javascript, python, bi, jupyter
Last push: 2026-08-26T21:31:56+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 100
- inputs: {"age_days": 3226, "days_push": 7, "days_rel": 8, "gap_med": 11, "n_releases_24m": 46}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 11133, forks 1331 (observed 2026-08-28T04:10:46.176759+00:00)

## What it is
Perspective is an interactive analytics and data visualization component for large, real-time, and streaming datasets, built around a high-performance streaming query engine written in C++/Rust and compiled to WebAssembly, Python, Node.js, and Rust. It ships a web-component UI with an editable data grid, WebGL charts, and geographic maps, plus a symmetric client/server API over WebSocket or in-process bindings.

## Use cases
- build interactive dashboards for streaming data
- visualize large datasets in the browser
- explore data in Jupyter notebooks
- create user-configurable reports and BI views
- stream server-side data to a virtualized browser grid
- render real-time charts with WebGL

## When to choose
- you need real-time analytics over large or streaming datasets
- you want a embeddable, user-configurable grid and chart UI
- you need the same API in Python, JavaScript, and Rust
- you want in-browser analytics via WebAssembly without a backend

## When to avoid
- you need static one-off charts in a simple report
- you require a full enterprise BI suite with scheduling and access control
- your datasets are small and a simple plotting library suffices

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, analytics, streaming, charts, web-scraping
- domain: data-visualization, analytics, data-science, web-development
- platform: browser, python, rust, wasm, cross-platform
- tags: web-components, jupyter, webgl, apache-arrow, dashboards, business-intelligence, react-bindings, query-engine, real-time, web-server, nodejs

## Member repositories
- perspective-dev/perspective (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:46.176759+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:16:46.238811+00:00, confidence not recorded.
  - readme: https://github.com/perspective-dev/perspective (fetched 2026-08-28T04:10:46.176759+00:00, sha ccfe6f0ba6c7)
  - homepage: http://perspective-dev.github.io/ (fetched 2026-08-29T08:15:19.888865+00:00, sha a56a4bdb0136)
  - registry_crates: https://crates.io/api/v1/crates/perspective (fetched 2026-08-29T08:15:19.898496+00:00, sha 72d19557d0c5)
- Data as of 2026-08-30T08:39:29.467469+00:00.