viser
3D visualization + Python
Decision gist · record as of 2026-08-14
Yes. Viser is actively maintained, has no known vulnerabilities, installs with low friction, and solves a genuine problem—accessible 3D visualization for Python workflows. The MIT license is permissive. Its 2733 stars and top-5000 PyPI position indicate real adoption. Install it if you need interactive 3D graphics with web-based access, especially for remote or headless environments.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction: pure Python wheel with ten well-established runtime dependencies (imageio, numpy, requests, rich, trimesh, websockets, etc.).
- Active maintenance with recent release (72 days ago) and 2733 repository stars.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute viser freely provided you retain the license notice.
last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 2,733 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,030,446 downloads/mo, #3,352 on PyPI
Alternatives
Verify before relying
pip install viser
import viser
server = viser.ViserServer()
server.scene.add_frame("/frame", wxyz=[1, 0, 0, 0], position=[0, 0, 0])
print(server.get_url())- Whether the web-based client requires a specific browser version or JavaScript support level
- Performance characteristics when handling large 3D scenes or high-frequency updates
- SSH tunneling setup and latency impact on interactive responsiveness
What it is and what it does
Viser is a 3D visualization library designed for computer vision and robotics workflows. It provides an API for rendering 3D primitives (meshes, frames, point clouds), building interactive GUIs with buttons, sliders, and text inputs, and handling scene interaction through clicks and transform gizmos. The library runs as a web-based server, making it accessible over SSH without requiring a local display—a significant advantage for remote development and headless systems.
The package combines rendering (powered by three.js) with a Python imperative API, letting you programmatically control the camera, add or remove scene elements, and respond to user interactions. Its ten runtime dependencies are mature, widely-used libraries: numpy for numerical work, trimesh for 3D geometry, websockets for client-server communication, and utilities like rich for terminal output and tqdm for progress bars.
Use it for
- Visualizing 3D reconstructions, point clouds, or mesh outputs from computer vision pipelines over SSH
- Building interactive debugging interfaces for robotics simulations with real-time scene updates
- Creating web-accessible 3D viewers for collaborative annotation or inspection tasks
- Prototyping 3D applications with immediate visual feedback and GUI controls
- Rendering camera trajectories and geometric transforms for algorithm validation
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Viser is actively maintained, has no known vulnerabilities, installs with low friction, and solves a genuine problem—accessible 3D visualization for Python workflows. The MIT license is permissive. Its 2733 stars and top-5000 PyPI position indicate real adoption. Install it if you need interactive 3D graphics with web-based access, especially for remote or headless environments.
Install
viser on PyPI
Before you install
Low friction: pure Python wheel with ten well-established runtime dependencies (imageio, numpy, requests, rich, trimesh, websockets, etc.). Active maintenance with recent release (72 days ago) and 2733 repository stars.
License in practice
MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute viser freely provided you retain the license notice.
Quickstart
pip install viser
import viser
server = viser.ViserServer()
server.scene.add_frame("/frame", wxyz=[1, 0, 0, 0], position=[0, 0, 0])
print(server.get_url())Verify before relying
- Whether the web-based client requires a specific browser version or JavaScript support level
- Performance characteristics when handling large 3D scenes or high-frequency updates
- SSH tunneling setup and latency impact on interactive responsiveness
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 10 packagesimageiomsgspecnumpyrequestsrichtqdmtrimeshtyping-extensionswebsocketszstandard |
| Maintenance | Actively maintained 72 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,030,446 / month, #3,352 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: viser-1.0.30-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 › “web-based 3D viewer”
- viserViser is a Python library for 3D visualization and interactive GUI…
- pyrenderPyrender renders 3D scenes to images and provides an interactive…
- mjvisermjviser is a web-based viewer for MuJoCo physics simulations,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Graphics packages
Pillow adds image processing capabilities to Python, providing file format support, efficient pixel data handling, and image manipulation operations.
Install it if you need to work with images in Python—it is the de facto standard for this task.
fonttools manipulates font files in multiple formats (TrueType, OpenType, AFM, Type 1, Mac-specific) and includes TTX, a tool to convert fonts to and from XML text format.
Install it if you need to read, write, or manipulate fonts programmatically or via the TTX command-line tool.
Enables matplotlib figures to display inline directly within Jupyter notebooks and IPython environments instead of in separate windows.
PyMuPDF extracts, renders, converts, and manipulates PDF and other document formats (XPS, EPUB, images, Office files via Pro) with high performance, providing text, tables, images, and metadata with precise layout information.
The AGPL license requires careful review if you are building proprietary software—commercial licensing is available from Artifex.
pypdfium2 is a Python binding to PDFium that enables PDF rendering, inspection, manipulation, and creation through a ctypes interface to Google's PDFium library.
Install it if you need PDF rendering, inspection, or manipulation in Python; the medium install friction is offset by comprehensive platform support.
Altair is a declarative Python library for creating interactive statistical visualizations by writing simple, readable code that compiles to Vega-Lite specifications.
See also meshcat · mjviser · vispy · pyrender · open3d-cpu · open3d · vtk · tensorflow-graphics · pythreejs · pyvista