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tflearn/tflearn

Deep learning library featuring a higher-level API for TensorFlow. observed · 2026-08-28

github.com/tflearn/tflearn · homepage · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3807
  • days_rel: n/a
  • days_push: 849
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

9576 stars · 2355 forks observed · 2026-08-28

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

TFLearn is a modular deep learning library providing a higher-level, Keras-like API on top of TensorFlow for building and training neural networks. It offers built-in layers, optimizers, regularizers, and helpers for fast prototyping while remaining transparent to underlying TensorFlow graphs.

Use cases

  • build and train neural networks with a simple high-level API
  • prototype CNN, LSTM, or ResNet models quickly
  • train a TensorFlow graph with multiple inputs and outputs
  • visualize network weights, gradients, and activations
  • generate sequences with a trained LSTM model
  • run training across multiple CPUs or GPUs

When to choose

  • you want a simpler API than raw TensorFlow for deep learning experiments
  • you are maintaining or studying legacy codebases built on TFLearn
  • you need quick prototyping of classic architectures like CNNs and RNNs on TensorFlow 2.x

When to avoid

  • you are starting a new project - Keras (tf.keras) is the actively maintained high-level TensorFlow API
  • you need cutting-edge deep learning features or active community support
  • you require compatibility with the latest TensorFlow releases or modern ecosystem tooling

Facets

library · maturity maintenance

deep-learning machine-learning llm-training deep-learning machine-learning data-science python windows tensorflow neural-networks high-level-api keras-alternative legacy linux macos gpu

5 sources

Member repositories

RepositoryRoleHealth v2
tflearn/tflearnmain23

For agents

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

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem