Activeloop tensorViz

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Activeloop:

About

Activeloop provides a continuous learning infrastructure for teams building software, agents, and data pipelines. Its core product, Deeplake, is the GPU database for agents, built around the idea that if your AI is on a GPU, your data should be too. Deeplake is designed to keep AI agents grounded, versioned, queryable, and GPU-native by combining vector and tensor data in one store, with GPU streaming to fine-tuning and a serverless Postgres interface. It gives teams a data engine for multimodal AI, allowing them to store, index, search, and stream data to models and agents. Instead of treating AI data as scattered files, embeddings, metadata, and traces across disconnected systems, Activeloop brings them into an infrastructure that can support retrieval, model development, fine-tuning, and agent memory workflows. It also includes Hivemind, where agent traces become team skills, so work solved once can be shared across the organization through trajectory capture.
tensorViz:

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.
Activeloop:

Platforms Supported

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

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
Activeloop:

Audience

Software building teams that need GPU-native data, memory, and continuous learning systems for multimodal AI applications
tensorViz:

Audience

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

Support

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

Support

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

API

Offers API Not Supported
tensorViz:

API

Offers API Supported
Activeloop:

Screenshots and Videos

tensorViz:

Screenshots and Videos

No images available
Activeloop:

Pricing

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

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
Activeloop:

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
tensorViz:

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
Activeloop:

Training

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

Training

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

Company Information

Activeloop
Founded: 2018
United States
www.activeloop.ai/
tensorViz:

Company Information

tensorViz
tensorviz.dev/
Activeloop:

Alternatives

tensorViz:

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
Activeloop:
Tuning Engines

Tuning Engines

CerebrixOS
tensorViz:
Activeloop:
Gemini platform

Gemini platform

Google
4.3 out of 5 stars
tensorViz:
Activeloop:
tensorViz:
Activeloop:
tensorViz:
Activeloop:

Categories

Machine Learning Supported
tensorViz:

Categories

Deep Learning Supported
Machine Learning Supported
Activeloop:

Integrations

Claude Code Not Supported
Codex CLI Not Supported
Cursor Not Supported
Deeplake Supported
GitHub Not Supported
Model Context Protocol (MCP) Not Supported
T3 Code Not Supported
Visual Studio Code Not Supported
tensorViz:

Integrations

Claude Code Supported
Codex CLI Supported
Cursor Supported
Deeplake Not Supported
GitHub Supported
Model Context Protocol (MCP) Supported
T3 Code Supported
Visual Studio Code Supported
Activeloop:
Claim Activeloop and update features and information
Claim Activeloop and update features and information
tensorViz:
Claim tensorViz and update features and information
Claim tensorViz and update features and information