tensorflow/skflow
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3941
- days_rel: n/a
- days_push: 1829
- n_releases_24m: 0
Adoption not part of the score
3168 stars · 436 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A simplified Scikit Learn-style interface for TensorFlow deep learning, providing estimators for neural networks. It was merged into TensorFlow's contrib/learn module and this repository is no longer maintained.
Use cases
- train neural networks with a scikit-learn fit/predict API
- build deep learning classifiers and regressors in TensorFlow
- experiment with TensorFlow models using familiar sklearn-style code
When to choose
- studying the historical origins of tf.contrib.learn / TF Learn
- maintaining legacy code that depends on the skflow package
When to avoid
- starting any new project - it was merged into TensorFlow and later removed
- using modern TensorFlow versions where contrib/learn no longer exists
- needing maintained deep learning estimator APIs - use tf.keras or scikit-learn instead
Facets
library · maturity abandoned
machine-learning deep-learning machine-learning deep-learning python scikit-learn tensorflow deprecated merged-upstream
2 sources
- readme: https://github.com/tensorflow/skflow · fetched 2026-08-28 · ed03a7964fe2
- registry_pypi: https://pypi.org/pypi/skflow/json · fetched 2026-08-29 · 2312d29c9db3
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tensorflow/skflow | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="tensorflow/skflow")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem