Javalin VS FastAPI

Compare Javalin VS FastAPI and see what are their differences

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FastAPI

FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

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2022-10-26

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2023-05-14

Javalin

Website: javalin.io
$ Details

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FastAPI

Website: fastapi.tiangolo.com
$ Details: free

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Javalin features and specs

Lightweight
Javalin is a lightweight framework with minimal dependencies, making it easy to integrate into existing projects and reducing overhead.
Simplicity
The framework is simple to use and has a straightforward API, which makes it easier for developers to understand and work with.
Kotlin & Java Support
Javalin natively supports both Kotlin and Java, making it flexible for projects written in either language.
WebSocket Support
It includes built-in support for WebSockets, enabling real-time communication between the client and server without additional dependencies.
Extensive Documentation
Javalin comes with comprehensive documentation and guides, which help developers get up to speed quickly.

Possible disadvantages of Javalin

Limited Features
As a minimalist framework, Javalin may lack some advanced features present in more comprehensive frameworks, requiring additional implementations from developers.
Community Support
While growing, the community around Javalin is not as large as other established frameworks, which may result in fewer resources or third-party libraries.
Performance Overhead
Though lightweight, Javalin may not offer the same level of performance optimization as frameworks specifically designed for high-performance use cases.
Limited Middleware
Compared to other frameworks, the middleware support in Javalin is more limited, potentially requiring additional code for customization.

FastAPI features and specs

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 of FastAPI

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.

Analysis of FastAPI

Overall verdict

FastAPI is widely regarded as a good choice, especially for applications that require high performance, scalability, and modern Python features. It is suitable for both simple and complex projects, making it a versatile tool in the web development ecosystem.

Why this product is good

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. It is built on top of Starlette for web framework capabilities and Pydantic for data validation and settings management. FastAPI is known for its excellent performance, automatic generation of interactive API documentation (with Swagger and Redoc), and support for asynchronous programming. Developers appreciate its ease of use, detailed documentation, and helpful error messages.

Recommended for

Developers building RESTful APIs
Teams looking for a high-performance ASGI-based web framework
Projects that require asynchronous programming capabilities
Applications needing automatic generation of interactive API documentation
Python developers who prefer utilizing type hints for code clarity and validation

Javalin videos

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FastAPI videos

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FastAPI from the ground up

Category Popularity

0-100% (relative to Javalin and FastAPI)

FastAPI

Web Frameworks

25 25%

Web Frameworks

75% 75

Developer Tools

8 8%

Developer Tools

92% 92

Python Web Framework

25 25%

Python Web Framework

75% 75

API Tools

0 0%

API Tools

100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Javalin and FastAPI

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FastAPI Reviews

The 20 Best Laravel Alternatives for Web Development

FastAPI, as the name hints, is a swift mover. Built on Starlette, it’s all about speed and performance with Python. Crafting API masterpieces at the speed of light, now that’s something.

Source: tms-outsource.com

25 Python Frameworks to Master

Since its release in 2018, it has rapidly gained popularity due to its great performance and simplicity. In fact, according to PyPi Stats, FastAPI has over 9 million monthly downloads, surpassing even full-stack frameworks like Django.

Source: kinsta.com

3 Web Frameworks to Use With Python

myapp/ is the main directory of your FastAPI application. It includes all the other files and directories needed for the application.static/ is a directory used to store static assets such as CSS, JavaScript, and image files. These assets are served directly by the web server and are typically used to add visual styling and interactivity to the application.css/, img/, js/...

Source: www.stratascratch.com

Best Alternatives to FastAPI App Free for Windows (2021)

FastAPI Alternative – So many alternatives app to FastAPI that you must to know out there. And, looking for an ideal software was not easy matter. Lucky you, at this page you can find the best replacement app for FastAPI. So what you are waiting for, get the latest FastAPI alternative app for Windows 10 from this page.

Source: alternativetoapp.com

Top 5 Back-End Frameworks to Consider for Web Development in 2021

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. It is fast when compared to other major Python frameworks like Flask and Django. FastAPI gives great flexibility to fulfill businesses’ API needs in today’s evolving world.

Source: www.fissionlabs.com

Social recommendations and mentions

Based on our record, FastAPI should be more popular than Javalin. It has been mentiond 289 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Javalin mentions (36)

Year After Switching from Java to Go: Our Experiences
But Javas has so many of these web frameworks?! * Spring (https://spring.io/) * Spring Boot (https://spring.io/projects/spring-boot) * Helidon (https://helidon.io/) * Micronaut (https://micronaut.io/) * Quarkus (https://quarkus.io/) * JHipster (https://www.jhipster.tech/) * Vaadin (https://vaadin.com/) That's just to mention the bigger ones, there's lots of mini frameworks like Javalin (https://javalin.io/) and... - Source: Hacker News / 4 months ago
Latudio – a language acquisition app with a listening-oriented approach
- like Sentences exercise, but you can select your own set of sentences. You can also set goals and view statistics about your progress. None of this would be possible without the great help from hundreds of our contributors [3], who translated, mapped and recorded content. All the content you find in the app was reviewed multiple times by several people and recordings are made by native speakers. No story in the... - Source: Hacker News / 6 months ago
Show HN: Donobu – Mac App for Web Automation and Testing
- Javalin 6 for the web framework (https://javalin.io/). - Source: Hacker News / 8 months ago
Spark – A web micro framework for Java and Kotlin
I'd recommend Javalin (https://javalin.io/) instead. Same idea, only executed better and it is actively maintained. - Source: Hacker News / over 1 year ago
Spark – A web micro framework for Java and Kotlin
SparkJava has an actively developed fork/successor called Javalin[1]. It's straightforward to convert from SparkJava to Javalin. The latter is written in Kotlin, but works fine with ordinary Java. While the rest of the Java world was devolving into annotation hell, AOP and other nightmares, these Java microframeworks showcased what happens when you forego legacy Java and leverage modern Java language features... - Source: Hacker News / over 1 year ago

FastAPI mentions (289)

How to build image search with semantic understanding
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. We use it to build the web API for the image search. - Source: dev.to / 11 days ago
How to Set Up CI/CD for a Python Backend Application on Fly.io Using GitHub Actions
The backend of this accountability AI application is built using FastAPI, a high-performance framework for Python. The app allows users to communicate with the AI, which helps them stay accountable by generating responses based on their input. Below is a breakdown of the key components used in the code:. - Source: dev.to / 24 days ago
🚀 Building Recallr: How I Turned PDFs into Anki Flashcards with AI
Until I realized Anki has their own API Interface, which made me realize that I can automate this task, efficiently, while also getting hand on experience using FastAPI and LLMs (but am I going to change the stack later?.. Lets see). - Source: dev.to / 21 days ago
Building Weather & History Story Cards with Python and FastAPI
By the end of this tutorial, you’ll see how I used FastAPI and Jinja2 to turn raw JSON into a dynamic timeline of weather and history that feels informative and fun. - Source: dev.to / about 1 month ago
Build Code-RAGent, an agent for your codebase
The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by... - Source: dev.to / about 1 month ago