Asyncer: Async improvements for developer experience

Asyncer simplifies working with [async](/TanStack/query) and await in Python. This library provides a small set of utility functions to enhance developer experience. Asyncer aims to improve autocompletion, inline error reporting, and type checking with tools like mypy, making asynchronous code more convenient and reliable. It leverages AnyIO as its core foundation.

Asyncer's small size makes it easy to integrate into projects with minimal code changes. It focuses on improving editor experience with autocompletion and inline error highlighting, which are often overlooked in async development. The library's design prioritizes convenience and offers a simple way to mix synchronous and asynchronous code. It's a lightweight solution for improving developer productivity.

• AnyIO Integration: Seamlessly utilizes AnyIO for asynchronous operations.
• Autocompletion: Provides autocompletion for function arguments and return values in editors.
• Inline Errors: Displays inline error messages directly in the editor for improved debugging.
• Type Checking Support: Enhances type checking with tools like mypy to detect potential bugs.
• Sync/Async Mixing: Simplifies the interaction between synchronous and asynchronous code.
• Small Footprint: Minimal dependency and code size for easy integration.
• Developer Experience: Focused on providing a more convenient and productive async development workflow.

Asyncer is a relatively new and small project, with limited functionality currently available. Development is actively maintained, with recent commits indicating ongoing improvements. The documentation is comprehensive, offering clear examples of usage. While the feature set is small, the project demonstrates a commitment to developer experience and code quality.

Asyncer benefits developers working with asynchronous Python code by streamlining the development process. It's ideal for projects seeking to improve editor support, enhance code reliability through type checking, and simplify the interaction between synchronous and asynchronous operations. It offers a valuable addition to any async Python developer's toolkit.