# h2oai/wave

Realtime Web Apps and Dashboards for Python and R

Repository: https://github.com/h2oai/wave
Canonical: https://ross.abutalabs.com/products/h2oai-wave
Homepage: https://wave.h2o.ai
Language: Python
License: Apache-2.0
License Family: permissive
Topics: app, dashboard, visualization, python, realtime, webapp, r, typescript, hacktoberfest, fedramp
Last push: 2026-08-24T21:58:54+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 98, longevity 100
- inputs: {"age_days": 2300, "days_push": 9, "days_rel": 19, "gap_med": 15.5, "n_releases_24m": 33}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4255, forks 368 (observed 2026-08-28T04:08:40.511551+00:00)

## What it is
H2O Wave is a software stack for building realtime, browser-based web applications and dashboards entirely in Python (and R) without HTML, JavaScript, or CSS. It pairs a Python/R driver library with a relay server that synchronizes UI state live between backend code and connected browsers.

## Use cases
- build a realtime monitoring dashboard in python
- create an interactive web app without learning html css javascript
- build a chatbot ui for an llm in python
- deploy a live analytics dashboard for data science models
- build an internal tool or admin panel quickly
- stream live metrics and alerts to a browser
- prototype an ai app frontend in pure python

## When to choose
- you know Python or R but not frontend web development
- you need realtime, collaborative dashboards or live-updating apps
- you want batteries-included UI components for analytics and decision-support apps
- you are a data scientist building AI/ML apps without a software engineer

## When to avoid
- you need pixel-perfect custom frontend design or complex client-side logic
- you are building a large-scale public-facing web application with custom UX
- you need a traditional request/response REST API backend
- your team already has strong frontend skills and a component library

## Facets
- artifact type: framework
- maturity: active
- function: web-framework, data-visualization, ui-components, state-management, chat-interface
- domain: web-development, data-visualization, analytics, machine-learning, developer-tools
- platform: python, cross-platform, windows
- tags: dashboards, realtime, low-code, r-language, ai-apps, no-frontend-required, web-server, linux, macos

## Member repositories
- h2oai/wave (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:40.511551+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 2026-08-29T18:22:08.962779+00:00, confidence not recorded.
  - readme: https://github.com/h2oai/wave (fetched 2026-08-28T04:08:40.511551+00:00, sha 518d87ec06f4)
  - homepage: https://wave.h2o.ai (fetched 2026-08-29T09:11:55.921413+00:00, sha 93b21f95901a)
  - site_page: https://wave.h2o.ai/docs/getting-started (fetched 2026-08-29T09:11:55.930754+00:00, sha 928974b5bc73)
  - site_page: https://wave.h2o.ai/docs/guide (fetched 2026-08-29T09:11:55.932717+00:00, sha 3bfe3e91a069)
  - site_page: https://wave.h2o.ai/docs/widgets/overview (fetched 2026-08-29T09:11:55.934405+00:00, sha bb1023f5be9b)
  - site_page: https://wave.h2o.ai/docs/examples (fetched 2026-08-29T09:11:55.936097+00:00, sha 73807696e232)
  - site_page: https://wave.h2o.ai/docs/api (fetched 2026-08-29T09:11:55.937798+00:00, sha 48b06ab084ba)
- Data as of 2026-08-30T08:39:29.467469+00:00.