Palashio/libra

Health v2 · maintenance only

Adoption not part of the score

1907 stars · 109 forks observed · 2026-08-28

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

Libra is a Python autoML library that lets users build, train, and evaluate machine learning models with one-line natural-language-style queries, handling preprocessing, model selection, and plotting automatically. It wraps Keras, TensorFlow, PyTorch, and Scikit-Learn behind an ergonomic client API aimed at non-technical users.

Use cases

• train a neural network with one line of code
• automate the end-to-end machine learning pipeline
• build ML models without knowing TensorFlow or PyTorch
• auto-select and tune the best model for my dataset
• run machine learning experiments as a non-technical user
• generate model metrics and plots automatically

When to choose

• you have little or no ML background and want quick results
• you want automated preprocessing, model building, and evaluation in a few lines
• you want to prototype whether ML fits your workflow before hiring specialists
• you still want access to underlying Keras/Scikit-Learn parameters when needed

When to avoid

• you need fine-grained control over architectures, training loops, or custom layers
• you need cutting-edge or production-grade ML pipelines with strict reproducibility
• you need actively developed features - the project points users to its successor Nylon
• you work outside Python or need GPU-cluster-scale distributed training

Facets

library · maturity maintenance

machine-learning llm-training data-science machine-learning data-science artificial-intelligence python cross-platform auto-ml neural-networks keras tensorflow scikit-learn no-code-ml beginner-friendly docker

Member repositories

For agents

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