Skip to main content

A reusable library of mini-tools with Pydantic-based APIs, designed for multi-platform deployment in web apps, serverless functions, and AI systems.

Project description

Documentation Status https://github.com/easyscalecloud/esc_mini_tools_lib-project/actions/workflows/main.yml/badge.svg https://codecov.io/gh/easyscalecloud/esc_mini_tools_lib-project/branch/main/graph/badge.svg https://img.shields.io/pypi/v/esc-mini-tools-lib.svg https://img.shields.io/pypi/l/esc-mini-tools-lib.svg https://img.shields.io/pypi/pyversions/esc-mini-tools-lib.svg https://img.shields.io/badge/✍️_Release_History!--None.svg?style=social&logo=github https://img.shields.io/badge/⭐_Star_me_on_GitHub!--None.svg?style=social&logo=github
https://img.shields.io/badge/Link-API-blue.svg https://img.shields.io/badge/Link-Install-blue.svg https://img.shields.io/badge/Link-GitHub-blue.svg https://img.shields.io/badge/Link-Submit_Issue-blue.svg https://img.shields.io/badge/Link-Request_Feature-blue.svg https://img.shields.io/badge/Link-Download-blue.svg

Welcome to esc_mini_tools_lib Documentation

https://esc-mini-tools-lib.readthedocs.io/en/latest/_static/esc_mini_tools_lib-logo.png

esc_mini_tools_lib is a collection of reusable mini-tools that provides core business logic for multi-platform deployment scenarios. Each tool implements the Command Pattern using Pydantic models, enabling built-in validation, type safety, and easy OpenAPI specification generation. The library is designed to be pip-installed and seamlessly integrated into various applications: as web app endpoints, as AWS Lambda functions for remote capabilities, or as MCP (Model Context Protocol) servers for AI assistants. By extracting core logic into this standalone library, you can deploy the same validated functionality across different platforms without code duplication.

Install

esc_mini_tools_lib is released on PyPI, so all you need is to:

$ pip install esc-mini-tools-lib

To upgrade to latest version:

$ pip install --upgrade esc-mini-tools-lib

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

esc_mini_tools_lib-0.1.5.tar.gz (23.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

esc_mini_tools_lib-0.1.5-py3-none-any.whl (25.5 kB view details)

Uploaded Python 3

File details

Details for the file esc_mini_tools_lib-0.1.5.tar.gz.

File metadata

  • Download URL: esc_mini_tools_lib-0.1.5.tar.gz
  • Upload date:
  • Size: 23.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.8

File hashes

Hashes for esc_mini_tools_lib-0.1.5.tar.gz
Algorithm Hash digest
SHA256 1d8167f1008c8994b8e248a971495613f77155e8dcca184eb5668dfb81a2f4e9
MD5 d5906889232e3b44361bfcd543dc72a2
BLAKE2b-256 b8f5d881fc7dc062e72943a0f62feb44e1f850fa31faa9f64e75a54efd8ff72a

See more details on using hashes here.

File details

Details for the file esc_mini_tools_lib-0.1.5-py3-none-any.whl.

File metadata

File hashes

Hashes for esc_mini_tools_lib-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 6ab5ec436a8f0d109d2b90626819e4bed9eaa9f78cfbf48790b3850feb4c26a3
MD5 b07995a4f07746eb98bed68685959558
BLAKE2b-256 0f397dde0970a4e4d900e7f98e5f034f895e650aa45e3f2413843a3407e9bb47

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page