FastAPI VS Dash for macOS

• High Performance
  Built on Starlette and Pydantic, FastAPI is one of the fastest frameworks for Python, providing high performance due to its asynchronous request handling.
• Automatic Interactive API Documentation
  FastAPI automatically generates interactive API documentation via Swagger UI and ReDoc, which are very helpful for development and testing.
• Type Checking and Validation
  With Pydantic models and Python type hints, FastAPI provides automatic data validation and type checking, reducing the chance of runtime errors.
• Ease of Use
  Its syntax and design make it easy to learn for Python developers, offering a smooth development experience while reducing boilerplate code.
• Asynchronous Support
  FastAPI supports asynchronous programming, allowing for better performance for I/O-bound operations, making it optimal for handling many simultaneous connections.
• Extensive Documentation
  It has comprehensive and well-structured documentation, which is very useful for both beginners and advanced users.
• Community and Ecosystem
  FastAPI has a growing community and ecosystem, with many plugins and integrations available to extend its functionality.

Possible disadvantages

• Learning Curve for Asynchronous Programming
  Although FastAPI itself is easy to learn, grasping the concepts of asynchronous programming in Python can be challenging for beginners.
• Complex Dependencies
  Using Pydantic for advanced validation can make the request models complex, requiring a deeper understanding of Pydantic and its functionalities.
• Early Stage Libraries
  Some third-party libraries and extensions specifically tailored for FastAPI might still be in early stages of development and lack long-term stability.
• Limited Real-World Examples
  Although the documentation is extensive, there might be limited real-world examples and case studies readily available compared to more mature frameworks.
• Deployment Complexity
  Deploying FastAPI applications might be more complex in comparison to traditional synchronous frameworks, mainly due to the need for asynchronous server setups.

• Comprehensive Documentation Library
  Dash offers an extensive collection of API documentation sets for a wide range of programming languages and frameworks, making it a one-stop solution for developers who need quick access to reference materials.
• Offline Access
  Dash allows users to download documentation for offline use, which is invaluable when working in environments without internet access or when attempting to reduce dependency on online resources.
• Snippets Manager
  Dash includes a snippets manager that enables users to store and organize code snippets, which can significantly accelerate coding by reusing previously written code.
• Integration with IDEs
  Dash integrates seamlessly with a variety of popular integrated development environments (IDEs) and code editors, like Xcode, Atom, Sublime Text, and more, streamlining the development workflow.
• Custom Docsets
  Users can create and manage their own custom docsets, allowing for documentation customization specific to internal libraries or less common technologies.

Possible disadvantages

• Paid Software
  Dash is a paid application, which may be a deterrent for some users who prefer free solutions or developers working with tight budgets.
• macOS Only
  Dash is exclusive to macOS, which excludes users on other operating systems like Windows or Linux from utilizing its features.
• Initial Set-Up Time
  Initial setup of Dash and downloading the necessary documentation sets can be time-consuming, especially for users who require multiple docsets.
• Limited Cloud Syncing
  Dash doesn't offer robust cloud syncing options for documentation sets or snippet repositories, meaning users need to manually manage these files if working across multiple devices.

FastAPI from the ground up

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Dash for macOS

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• One of my favourite productivity tools as a software developer
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• How to deploy a FastAPI app on Ownkube

  FastAPI is fast to run locally with uvicorn app.main:app --reload, and the production version of that command is not much longer. Production adds three things: a process manager that restarts a crashed worker, config read from... - Source: dev.to / 10 days ago

• Mémoire des Anciens: The Grimoire of Souls

  Backend: a FastAPI app, started with uvicorn main:app --port 8000. - Source: dev.to / 11 days ago

• Why I'm building GwinG, a language exchange app for awkward hellos

  Under the hood it's Flutter on the client and FastAPI with PostgreSQL on the server. WebSockets for realtime, WebRTC for calls, object storage for media, and small services for speech and translation. Android, iOS, Windows and Linux. The... - Source: dev.to / 23 days ago

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• Google no longer provides direct URLs in search results

  Until 10 years ago, I used Dash for that so that. It’s still around https://kapeli.com/dash It’s instant, works offline, auto-updates, and includes all the websites you listed, and allows for custom ones too. - Source: Hacker News / 2 months ago

• Focused Work, Distraction-Free Coding

  Dash for MacOS (proprietary, paid) has the documentation for over 200 APIs and over 100 cheat sheets, and the ability to generate documentation for packages for Swift, Python, Ruby, PHP, Java, Go, Rust, Scala, Dart, Haskell, Hex, Clojure. - Source: dev.to / 6 months ago

• Local-First Documentation: What It Is and Why Your AI Agent Needs It

  This isn't a new idea for developer tools. DevDocs, Zeal, and Dash have offered offline documentation browsing for years. What's new is applying this architecture to AI agents — giving your coding assistant the same offline, instant,... - Source: dev.to / 9 months ago

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