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cirq-web

Web-based 3D visualization tools for Cirq.

Worth itPyPI Python ModulesReleased Jun 2026131.4K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — cirq_web-1.7.0-py3-none-any.whl
v1.7.0 · released 2026-06-29 · Python >=3.11.0 · 1 runtime deps: cirq-core

Yes. cirq-web is worth installing if you work with Cirq and need to visualize quantum states or circuits. It has low install friction, active maintenance, no known vulnerabilities, and a permissive license. The single dependency on cirq-core is expected for a Cirq module. It fills a specific, well-defined need for quantum visualization in notebooks and browsers.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.11 or later; cirq-core must be installed as a runtime dependency.
  • Low friction installation as a pure Python wheel with a single runtime dependency on cirq-core.
  • Actively maintained with recent releases and no known vulnerabilities.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows free use, modification, and distribution in both open-source and commercial projects with minimal restrictions.

last release 2026-06-29 (46 days) · last repo commit 2026-08-14 · 5,046 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 131,429 downloads/mo, #11,589 on PyPI

Verify before relying

pip install cirq-web

import cirq
from cirq_web import BlochSphere

zero_state = [1+0j, 0+0j]
state_vector = cirq.to_valid_state_vector(zero_state)
sphere = BlochSphere(state_vector=state_vector)
sphere.generate_html_file()
  • Whether the 3D visualization requires specific browser capabilities or JavaScript support.
  • Performance characteristics when rendering large or complex quantum states.
  • Whether additional system dependencies are needed for HTML generation or browser display.
Same gist for agents: .md · .json

What it is and what it does

cirq-web is a visualization module for the Cirq quantum computing framework that adds browser-based 3D rendering capabilities. It builds on top of cirq-core and enables developers to create interactive visualizations of quantum states, with the Bloch sphere as a primary example. The module generates portable HTML files that can be viewed in any modern browser, and integrates with Jupyter notebooks and Google Colab for interactive exploration.

The package is designed for quantum researchers, educators, and developers who need to visualize quantum states and circuits during development or presentation. It abstracts away the complexity of 3D graphics and web rendering, allowing users to generate visualizations with simple Python calls. The module is actively maintained as part of the broader Cirq ecosystem and supports current Python versions.

Use it for

  • Visualize quantum state vectors as interactive 3D Bloch spheres in Jupyter notebooks for educational purposes.
  • Generate portable HTML visualizations of quantum states for inclusion in research papers or documentation.
  • Debug quantum circuits by interactively exploring state evolution during algorithm development.
  • Create interactive demonstrations of quantum computing concepts in Google Colab for teaching.
  • Export quantum simulation results as shareable 3D visualizations without requiring specialized software.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

cirq-web is worth installing if you work with Cirq and need to visualize quantum states or circuits. It has low install friction, active maintenance, no known vulnerabilities, and a permissive license. The single dependency on cirq-core is expected for a Cirq module. It fills a specific, well-defined need for quantum visualization in notebooks and browsers.

Install

cirq-web on PyPI

Before you install

Low friction installation as a pure Python wheel with a single runtime dependency on cirq-core. Actively maintained with recent releases and no known vulnerabilities.

Requires Python 3.11 or later; cirq-core must be installed as a runtime dependency.

License in practice

Apache-2.0 permissive license allows free use, modification, and distribution in both open-source and commercial projects with minimal restrictions.

Quickstart

pip install cirq-web

import cirq
from cirq_web import BlochSphere

zero_state = [1+0j, 0+0j]
state_vector = cirq.to_valid_state_vector(zero_state)
sphere = BlochSphere(state_vector=state_vector)
sphere.generate_html_file()

Verify before relying

  • Whether the 3D visualization requires specific browser capabilities or JavaScript support.
  • Performance characteristics when rendering large or complex quantum states.
  • Whether additional system dependencies are needed for HTML generation or browser display.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.11.0
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
cirq-core
MaintenanceActively maintained 46 days since the last release
Last repo commit
First released
Downloads131,429 / month, #11,589 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: Quantum ComputingTopic :: Software Development :: Libraries :: Python ModulesTyping :: Typed

Evidence: cirq_web-1.7.0-py3-none-any.whl

Tags

Capabilities
quantum circuit visualizationbloch sphere 3d displayquantum state visualizationcirq web visualizationinteractive quantum visualizationquantum computing visualization toolsjupyter quantum visualization
Topics
quantum-computingvisualizationjupyter-compatible
PyPI keywords
algorithmsapicirqgooglegoogle quantumnisqpythonquantumquantum algorithmsquantum circuitquantum circuit simulatorquantum computer simulatorquantum computingquantum development kitquantum informationquantum programmingquantum programming languagequantum simulationsdksimulation

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See also cirq-core · cirq-google · cirq · cirq-ionq · cirq-aqt · cirq-pasqal · qiskit · qiskit-ionq · pennylane · mqt.qcec