Best machine learning tools
Desktop and browser tools for inspecting, visualising and tracking machine learning models and the experiments that train them.
4 apps, ordered by visits from AppBreakup and how often our research lists each one as an alternative. Open any app to see its alternatives.
All machine learning tools
- Alternatives to Weights & Biases
A hosted platform for tracking ML experiments and tracing, evaluating and monitoring AI apps.
Free plan + paidWeb, iOS - Alternatives to TensorBoard
TensorFlow's open-source dashboard for tracking training metrics and visualising models and data.
Open sourceSelf-hostableWindows, macOS, Linux, Self-hosted - Alternatives to Netron
Free, open-source viewer that draws neural network and machine learning model files as interactive graphs.
Open sourceWeb, Windows, macOS, Linux - Alternatives to Model Explorer
Google's open-source graph viewer for large ML models, with collapsible layers and GPU-accelerated rendering.
Open sourceWindows, macOS, Linux
Our picks by need
Best for most people
Weights & BiasesBest for a free option
TensorBoardBest for open source
NetronBest for self-hosting
TensorBoardBest for Mac
Model ExplorerBest for Windows
TensorBoardBest for Linux
TensorBoardCommon questions
What are the best machine learning tools?
Based on how often our research lists them as alternatives and visits from AppBreakup, the leading machine learning tools right now are Weights & Biases, TensorBoard, Netron and Model Explorer.
Are there free machine learning tools?
Yes. Weights & Biases (free plan + paid), TensorBoard (open source), Netron (open source) and Model Explorer (open source) have a free option, out of 4 free or freemium apps we track.
Which machine learning tools are open source?
TensorBoard, Netron and Model Explorer.