h2o-wave
Python driver for H2O Wave Realtime Apps
Decision gist · record as of 2026-08-14
Yes. H2O Wave is actively maintained, has low install friction, carries a permissive Apache-2.0 license, and solves a real problem for Python developers who want to build interactive web applications without learning web technologies. It's well-suited for data science, dashboards, and analytical tools. No known vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; the Wave relay server must be running (typically via `wave run` command) to synchronize state between Python and browsers.
- Low friction: pure Python wheel with five common runtime dependencies (click, httpx, inquirer, starlette, uvicorn).
- Actively maintained with a recent release and 4248 repository stars.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions, making it suitable for most projects.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 4,248 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 277,748 downloads/mo, #8,142 on PyPI
Alternatives
Verify before relying
pip install h2o-wave
from h2o_wave import main, app, Q, ui
@app('/')
async def serve(q: Q):
q.page['hello'] = ui.markdown_card(
box='1 1 3 3',
title='Hello world!',
content='Welcome to Wave!'
)
await q.page.save()- Whether the relay server is included in the pip package or must be installed separately.
- Performance characteristics and scalability limits for concurrent users or large datasets.
- Availability and maturity of third-party component libraries beyond built-in widgets.
What it is and what it does
H2O Wave is a Python framework that lets you build interactive web applications without writing HTML, JavaScript, or CSS. It ships with pre-built form and data visualization components and handles real-time state synchronization between Python and web browsers through a relay server. The framework is designed for rapid prototyping of analytical and decision-support applications, particularly in data science and machine learning contexts.
You write your application logic in Python using async functions, define UI components declaratively, and Wave manages the browser communication automatically. The framework depends on Starlette and Uvicorn for the web server, Click for CLI tools, Httpx for HTTP requests, and Inquirer for terminal prompts. It supports Python 3.8 through 3.11 and is actively maintained with recent releases.
Use it for
- Build real-time data dashboards and analytical applications without learning web technologies.
- Prototype machine learning model interfaces and decision-support tools quickly in Python.
- Create collaborative web applications where multiple users interact with shared state.
- Deploy low-latency interactive applications for data science workflows.
- Build form-based applications with built-in validation and visualization components.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
H2O Wave is actively maintained, has low install friction, carries a permissive Apache-2.0 license, and solves a real problem for Python developers who want to build interactive web applications without learning web technologies. It's well-suited for data science, dashboards, and analytical tools. No known vulnerabilities.
Install
h2o-wave on PyPI
Before you install
Low friction: pure Python wheel with five common runtime dependencies (click, httpx, inquirer, starlette, uvicorn). Actively maintained with a recent release and 4248 repository stars.
Requires Python 3.8 or later; the Wave relay server must be running (typically via `wave run` command) to synchronize state between Python and browsers.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions, making it suitable for most projects.
Quickstart
pip install h2o-wave
from h2o_wave import main, app, Q, ui
@app('/')
async def serve(q: Q):
q.page['hello'] = ui.markdown_card(
box='1 1 3 3',
title='Hello world!',
content='Welcome to Wave!'
)
await q.page.save()Verify before relying
- Whether the relay server is included in the pip package or must be installed separately.
- Performance characteristics and scalability limits for concurrent users or large datasets.
- Availability and maturity of third-party component libraries beyond built-in widgets.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesclickhttpxinquirerstarletteuvicorn |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 277,748 / month, #8,142 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Communications :: ChatTopic :: Internet :: WWW/HTTP :: Dynamic ContentTopic :: Scientific/Engineering :: VisualizationTopic :: Software Development :: Libraries :: Application FrameworksTopic :: Software Development :: Widget SetsTopic :: System :: Distributed Computing |
Evidence: h2o_wave-1.8.12-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “interactive dashboard builder”
- h2o-waveH2O Wave is a Python framework for building interactive web…
- shinyShiny for Python is a web development framework that lets you build…
- panelPanel is a Python framework for building interactive data…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also dash · h2o-authn · h2o · wavedrom · h2o-pysparkling-3.1 · panel · nicegui · reflex-components-recharts · streamlit · matrix-nio