pysnips 0.1.3

A production-quality Python CLI for code templates

PySnips

PySnips is a high-performance, production-quality CLI tool designed to accelerate Python development. It provides a library of 50+ expertly crafted code templates spanning from core language syntax to advanced Machine Learning and AI Full-Stack architectures.

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Project Information

• Author: DevTools Engineer
• GitHub: anusha-b2803/pysnips
• PyPI: pypi.org/project/pysnips
• Bug Tracker: GitHub Issues

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Key Features

• 50+ Specialized Templates: Instantly generate boilerplate for Basic Python, ML, Deep Learning, and FastAPI.
• Dynamic Injection: Fully customizable snippets using CLI flags (e.g., --name MyModel --lr 0.01).
• Zero Dependencies: Built entirely on the Python Standard Library for maximum compatibility and minimal footprint.
• Clean Architecture: Engineered with a modular registry system, making it easy to extend and maintain.
• Developer First: Outputs clean, PEP-8 compliant code directly to your terminal or into a file.

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Installation

The easiest way to install PySnips is via pip:

pip install pysnips

Install from Source

For development or local modifications:

git clone https://github.com/anusha-b2803/pysnips.git
cd pysnips
pip install -e .

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Quick Start

1. Explore Available Snippets

List all 50+ available commands categorized by domain:

pysnips list

2. Generate a Python Function

pysnips func --name calculate_metrics --args "data, threshold"

3. Scaffold a FastAPI Application

Generate a complete API boilerplate and save it directly to a file:

pysnips fastapi-app --title "Predictive Analytics API" > main.py

4. Build a Machine Learning Pipeline

pysnips random-forest --n_estimators 200 > train.py

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Category Overview

Category	Description	Examples
BASIC	Core Python syntax & control flow	for, tryfull, listcomp
MACHINE LEARNING	Scikit-learn model boilerplates	svm, random-forest, pca
DEEP LEARNING	Keras/TensorFlow architectures	cnn-image, lstm, nn-train
ML PIPELINE	Data engineering & preprocessing	scaler, train-test, pipeline
AI FULL-STACK	FastAPI, DB connections & Logging	fastapi-app, db-connect, ml-api

Click to see all 50+ templates

BASIC

• for, while, if, ifelse, elif, try, tryfull, func, rfunc, listcomp, dictcomp, setcomp, lambda, maincheck, printfmt

MACHINE LEARNING

• linear-reg, logistic-reg, knn, svm, decision-tree, random-forest, naive-bayes, kmeans, pca, model-eval

DEEP LEARNING

• nn-basic, nn-compile, nn-train, cnn-basic, cnn-image, rnn-basic, lstm, dropout, predict, save-load-dl

ML PIPELINE

• data-load, data-clean, train-test, scaler, pipeline

AI FULL-STACK

• fastapi-app, route-get, route-post, ml-api, file-upload, json-response, async-api, db-connect, save-predict, logger

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Project Architecture

PySnips is built with scalability in mind:

• pysnips/cli.py: Advanced argument parsing and UI handling.
• pysnips/registry.py: Centralized template management system.
• pysnips/generator.py: Regex-powered dynamic template engine.
• pysnips/utils/: Enhanced console formatting and color support.

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License

Distributed under the MIT License. See LICENSE for more information.

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Built for the Python Community