Free Python API to Manage Project Configuration & Versions

Open Source Python Project Management API Designed to Streamline Python Project Management and Offering a Comprehensive Solution for Handling Configurations, Dependencies, Versioning and Project scaffolding.

In the dynamic landscape of software development, managing Python projects efficiently is crucial for smooth execution and timely delivery. With numerous dependencies, configurations, and deployment strategies, project management can quickly become a daunting task. However, thanks to innovative tools like Medikit Library, navigating through these complexities has become considerably easier. It aims to enhance the development workflow by automating various aspects of project setup, configuration, and documentation, ultimately saving time and effort for developers.

Medikit Library, an open source project available on GitHub, is designed to streamline Python project management, offering a comprehensive solution for handling configurations, dependencies, and project scaffolding. Let's delve into what makes the Library a valuable asset for Python developers. There are several important features and benefits part of the library making useful for the users, such as modular architecture support, managing project dependencies, configuring Python projects, automating the process of project scaffolding, extensibility and many more.

At its core, the Medikit Library aims to simplify the process of setting up, configuring, and maintaining Python projects by providing a unified interface and a set of conventions. Whether you're starting a new project or managing an existing one, It offers a consistent approach that enhances productivity and reduces the likelihood of errors. It makes developers jobs easy and can significantly boost productivity and maintainability weather developers are working on a small personal project or a large-scale collaborative one. By automating configuration, project setup, and documentation generation, the library empowers developers to focus on what they do best—writing quality code

At A Glance

An overview of Medikit features.

Features Overview

Create New Project
Manage Configuration Management
Manipulate Project
Project Template Creation
Retrieve List of Projects
Project Scaffolding
Import Project Data
Export Project Data
High Security

Features Overview

Task Automation Support
Define project settings
Efficient project management
Customizable Workflows
Define Custom Workflow
Streamline project processes
Modular Architecture Support
Extensibility Support

Medikit

Medikit supports the following formats.

Reader

MPP, MPT, MPX

Writer

MPP, MPT, MPX

Medikit

Platform Independence

Medikit requires Python 3.0 and above.

Medikit

Getting Started with Medikit

The recommend way to install Medikit Library is via pip. Please use the following commands for a smooth installation.

Install Taiga Library via pip

pip install medikit

You can download the directly from GitHub page

Configuration Management Support

Configuring Python projects can be a time-consuming task, especially when dealing with multiple environments (e.g., development, staging, production). The open source Medikit library simplifies project configuration by providing a clear and concise syntax. Python Developers can define project settings, dependencies, and other parameters in a single medikit.yml file. This approach ensures consistency across different environments and reduces the chances of configuration errors. The following simple example demonstrates, how software developers can define project settings in the medikit.yml files inside Python applications.

How to Define Project Settings inside Python Project?

# Example medikit.yml

project:
  name: MyProject
  version: 1.0.0
  
dependencies:
  python:
    version: 3.8.0
  packages:
    - numpy
    - pandas

Project Template Creation via Python API

Creating a standardized project structure is crucial for collaboration and code maintenance. The open source Medikit library offers project templates, allowing software developers to quickly set up a consistent project layout with the necessary files and directories. Developers can kick-start projects using predefined templates, ensuring that best practices and project standards are applied from the beginning. This feature accelerates the setup process and maintains a consistent project structure.

Project Scaffolding Support

The open source Medikit library automates the process of project scaffolding, allowing software developers to quickly generate project templates with predefined directory structures, configuration files, and boilerplate code. This feature accelerates the project setup phase and ensures consistency across different projects.

Modular Architecture & Extensibility Support

Medikit library adopts a modular architecture, allowing Python developers to break down their projects into manageable components. This modular approach promotes code reusability and facilitates collaboration among team members. One of the strengths of Medikit is its extensibility. Developers can easily extend the functionality of the library by creating custom plugins tailored to their specific requirements. This flexibility makes it suitable for a wide range of use cases, from small-scale projects to large enterprise applications.

Task Automation Support

The open source Medikit library simplifies common development tasks, such as running tests, generating documentation, and building distributions, by providing a built-in task execution mechanism. By defining tasks in the medikit.yml file, you can automate repetitive workflows and ensure consistency across your projects. Additionally, the library integrates seamlessly with popular task runners like Invoke, empowering you to extend its capabilities as needed.