Bayesforge

Bayesforge

Quantum Programming Studio
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About

Bayesforge™ is a Linux machine image that curates the very best open source software for the data scientist who needs advanced analytical tools, as well as for quantum computing and computational mathematics practitioners who seek to work with one of the major QC frameworks. The image combines common machine learning frameworks, such as PyTorch and TensorFlow, with open source software from D-Wave, Rigetti as well as the IBM Quantum Experience and Google's new quantum computing language Cirq, as well as other advanced QC frameworks. For instance our quantum fog modeling framework, and our quantum compiler Qubiter which can cross-compile to all major architectures. All software is made accessible through the Jupyter WebUI which, due to its modular architecture, allows the user to code in Python, R, and Octave.

About

tensorViz helps developers explore PyTorch models and JAX/Flax programs as interactive graphs. For PyTorch, users can expand nested modules, inspect tensor shapes captured from one forward pass, jump to Python source, and review architecture changes beside code diffs. The website offers recorded model graphs to explore without installation. The free VS Code extension is available from the Visual Studio Marketplace and Open VSX. Local capture requires Python, model dependencies, and example inputs. Standalone coding-agent plugins are an Apple Silicon macOS preview; MCP agents can also connect to the extension. JAX/Flax graphs use CPU tracing with inferred shapes, and PyTorch source edits are unavailable for them.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Organizations that need an advanced Quantum Computing solution

Audience

Machine learning engineers, PyTorch developers, researchers and students exploring model architecture, tensor shapes and architecture changes.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$0
The VS Code extension is free to install. Core graph exploration and source-edit forms work without an agent or provider API key; connecting a coding agent is optional.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Quantum Programming Studio
artiste-qb.net/bayesforge/

Company Information

tensorViz
tensorviz.dev/

Alternatives

Azure Quantum

Azure Quantum

Microsoft

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
Superstaq

Superstaq

Infleqtion
QX Simulator

QX Simulator

Quantum Computing Simulation
LIQUi|>

LIQUi|>

Microsoft

Categories

Quantum Computing Supported

Categories

Deep Learning Supported
Machine Learning Supported

Integrations

AWS Marketplace Supported
Claude Code Not Supported
Codex CLI Not Supported
Cursor Not Supported
D-Wave Supported
GitHub Not Supported
Google Cirq Supported
IBM Quantum Supported
Model Context Protocol (MCP) Not Supported
Octave Supported
PyTorch Supported
Python Supported
R Supported
Rigetti Quantum Cloud Services (QCS) Supported
T3 Code Not Supported
TensorFlow Supported
Visual Studio Code Not Supported

Integrations

AWS Marketplace Not Supported
Claude Code Supported
Codex CLI Supported
Cursor Supported
D-Wave Not Supported
GitHub Supported
Google Cirq Not Supported
IBM Quantum Not Supported
Model Context Protocol (MCP) Supported
Octave Not Supported
PyTorch Not Supported
Python Not Supported
R Not Supported
Rigetti Quantum Cloud Services (QCS) Not Supported
T3 Code Supported
TensorFlow Not Supported
Visual Studio Code Supported
Claim Bayesforge and update features and information
Claim Bayesforge and update features and information
Claim tensorViz and update features and information
Claim tensorViz and update features and information