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jrieke/traingenerator

🧙 A web app to generate template code for machine learning observed · 2026-08-28

github.com/jrieke/traingenerator · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

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: 2099
  • days_rel: n/a
  • days_push: 1106
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1381 stars · 182 forks observed · 2026-08-28

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

Traingenerator is a Streamlit-based web app that generates custom template code for machine learning projects with PyTorch and scikit-learn. Users configure preprocessing, model setup, training, and visualization options through a web UI and export the result as .py, Jupyter Notebook, or Google Colab files.

Use cases

  • generate boilerplate code for a pytorch image classification project
  • create a machine learning training script template
  • jumpstart an sklearn project with starter code
  • export a training pipeline as a jupyter notebook or colab
  • generate template code with tensorboard or comet.ml logging

When to avoid

  • you need templates for Keras/TensorFlow or PyTorch Lightning (not yet available)
  • you need production-ready training code rather than a starting template
  • you need an actively developed tool with recent updates

Facets

application · maturity maintenance

web-framework machine-learning templating machine-learning deep-learning web-development developer-tools python self-hosted streamlit pytorch scikit-learn tensorflow code-templates jupyter-notebook google-colab boilerplate-generator code-generation web-server

2 sources

Member repositories

RepositoryRoleHealth v2
jrieke/traingeneratormain32

For agents

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

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