Machine learning visualization tools

Netron

Viewer for neural network, deep learning and machine learning models.

PlotNeuralNet

LaTeX code for drawing neural network architecture diagrams.

Opik

Formerly CometLLM. Debug, evaluate, and monitor LLM applications with tracing and dashboards.

Phoenix

ML observability in a notebook with UMAP visualizations

FiftyOne

Tool for visualizing, curating and evaluating computer vision datasets and models.

Visdom

Tool for real-time visualization and monitoring of live data such as ML experiments.

BertViz

Visualize attention in Transformer language models such as BERT and GPT-2.

TensorBoard

TensorFlow's visualization toolkit for metrics, model graphs, embeddings and more.

Aim

Experiment tracker with a UI to explore and compare ML runs and metrics.

Embedding Atlas

Interactive visualization of large embeddings with search, filtering and density views, by Apple.

Yellowbrick

Visual analysis and diagnostic tools for machine learning model selection with scikit-learn.

LIT

Learning Interpretability Tool: interactive visual analysis of ML model behavior, by Google PAIR.

TensorWatch

Debugging and visualization tool for data science and machine learning

dtreeviz

Decision tree visualization and model interpretation library for Python.

Comet

An MLOps platform for tracking, visualizing, and debugging your machine learning workflows from training straight through to production.