PaddlePaddle/VisualDL

Health v2 · maintenance only

Adoption not part of the score

4884 stars · 631 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

VisualDL is a deep learning visualization toolkit for PaddlePaddle that provides charts for tracking training metrics, visualizing model structures, tensor histograms, PR/ROC curves, and high-dimensional data embeddings. It is a Python-based tool with a browser UI for understanding and optimizing model training.

Use cases

• visualize training loss and accuracy curves in real time
• inspect a deep learning model's computation graph
• plot PR and ROC curves for classification experiments
• project high-dimensional embeddings to 2D/3D
• compare hyperparameters against model metrics
• share experiment results with a team

When to choose

• you train models with PaddlePaddle and want built-in visualization
• you need a TensorBoard-like tool with ONNX model graph support
• you want lightweight Python integration with a few lines of code

When to avoid

• you need a full experiment management platform with team collaboration and model registry
• your stack is PyTorch/TensorFlow and you already use TensorBoard or Weights & Biases

Facets

application · maturity stable

data-visualization monitoring machine-learning deep-learning deep-learning data-visualization machine-learning developer-tools python cross-platform experiment-tracking tensorboard-alternative paddlepaddle onnx model-visualization training-metrics web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="PaddlePaddle/VisualDL")