google/prettytensor

Health v2 · maintenance only

Flags: no_releases archived no_license

Adoption not part of the score

1227 stars · 142 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Pretty Tensor is a Python library providing a fluent, chainable builder API on top of TensorFlow for defining multi-layer neural networks. It wraps Tensors so layers like fully_connected and softmax classifiers can be composed in a readable pipeline.

Use cases

• build neural networks with a chainable API in TensorFlow
• define multi-layer perceptrons quickly
• wrap tensors to add layers fluently
• train classifiers with built-in softmax and loss helpers
• integrate custom TensorFlow ops into a layer chain

When to choose

• you maintain legacy TensorFlow 1.x code that already uses Pretty Tensor
• you want a concise fluent syntax for defining small TF1 models

When to avoid

• you use TensorFlow 2.x or Keras, which this library does not support
• you are starting a new deep learning project
• you need actively maintained or documented tooling

Facets

library · maturity abandoned

machine-learning deep-learning machine-learning deep-learning python tensorflow neural-networks fluent-api builder-pattern

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google/prettytensor")