Software Alternatives, Accelerators & Startups

FastAPI VS ESLint

Compare FastAPI VS ESLint and see what are their differences

FastAPI logo 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.

ESLint logo ESLint

The fully pluggable JavaScript code quality tool
  • FastAPI Landing page
    Landing page //
    2023-05-14
  • ESLint Landing page
    Landing page //
    2022-09-14

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.

ESLint features and specs

  • Customization
    ESLint is highly customizable through configuration files, allowing developers to tailor the linting process to fit their specific coding standards and project requirements.
  • Extensibility
    With a wide range of plugins and the ability to write custom rules, ESLint can be extended to accommodate unique project needs or additional languages and frameworks.
  • Community Support
    ESLint has a large and active community, ensuring continuous improvement, frequent updates, and a wealth of shared knowledge and resources.
  • Integrations
    ESLint integrates seamlessly with most development environments, build tools, and version control systems, making it easy to incorporate into existing workflows.
  • Error Prevention
    By statically analyzing code to catch potential errors and bad practices before runtime, ESLint helps improve code quality and reduce bugs.
  • Consistency
    Applying ESLint across a project ensures coding standards are maintained consistently, which is particularly beneficial for teams with multiple developers.

Possible disadvantages of ESLint

  • Initial Setup
    Configuring ESLint for the first time can be daunting, especially for those who are new to the tool or have complex project requirements.
  • Performance
    On large codebases, ESLint can sometimes slow down builds or editor performance due to the extensive analysis it performs.
  • Learning Curve
    There is a learning curve associated with understanding and configuring ESLint rules, which can be challenging for beginners.
  • Strictness
    Depending on the configuration, ESLint can be very strict, leading to a large number of warnings or errors that may initially overwhelm developers not accustomed to such rigorous linting.
  • Opinionated Rules
    Some ESLint default rules may not align with every developer's or team's coding style preferences, necessitating further customization and adjustment.
  • Maintenance
    Keeping ESLint configurations and plugins up to date requires ongoing maintenance, especially as projects evolve and dependencies change.

FastAPI videos

FastAPI from the ground up

More videos:

  • Tutorial - 30 Days of Python - Day 14 - Web App with Flask, FastAPI, ngrok, and Invictify - Python TUTORIAL
  • Review - [PT] Python - API com FastAPI - Chat | twitch.tv/codeshow

ESLint videos

ESLint Quickstart - find errors automatically

More videos:

  • Review - ESLint + Prettier + VS Code — The Perfect Setup
  • Review - Linting and Formatting JavaScript with ESLint in Visual Studio Code

Category Popularity

0-100% (relative to FastAPI and ESLint)
Developer Tools
54 54%
46% 46
Code Coverage
0 0%
100% 100
Web Frameworks
100 100%
0% 0
Code Analysis
0 0%
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 FastAPI and ESLint

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.
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/...
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.
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.

ESLint Reviews

8 Best Static Code Analysis Tools For 2024
You can use ESLint through a supported IDE such as VS Code, Eclipse, and IntelliJ IDEA or integrate it with your CI pipelines. Moreover, you can install it locally using a package manager like npm, yarn, npx, etc.
Source: www.qodo.ai

Social recommendations and mentions

FastAPI might be a bit more popular than ESLint. We know about 288 links to it since March 2021 and only 267 links to ESLint. 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.

FastAPI mentions (288)

  • 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 / 11 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 / 8 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 / 23 days 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 / 24 days ago
  • Understanding the Relation Between FastAPI and Uvicorn
    FastAPI and Uvicorn are two essential building blocks when developing high-performance Python APIs. - Source: dev.to / 25 days ago
View more

ESLint mentions (267)

  • Never lose valuable error context in JavaScript
    While ESLint is the go-to tool for code quality in JavaScript, it doesn’t provide any built-in rule for this. - Source: dev.to / 2 days ago
  • Shopify: Getting to grips with GraphQL
    This linting is designed to work with eslint, which is very commonly used in the JavaScript world. - Source: dev.to / 10 days ago
  • Most Effective Approaches for Debugging Applications
    Static code analysis tools scan code for potential issues before execution, catching bugs like null pointer dereferences or race conditions early. Daniel Vasilevski, Director and Owner of Bright Force Electrical, shares, “Utilizing static code analysis tools gives us a clear look at what’s going wrong before anything ever runs.” During a scheduling system rebuild, SonarQube flagged a concurrency flaw, preventing... - Source: dev.to / 26 days ago
  • Static Code Analysis: Ensuring Code Quality Before Execution
    ESLint – Widely used for JavaScript/TypeScript projects to catch style and logic errors. - Source: dev.to / about 2 months ago
  • 🚀 Biome Has Entered the Chat: A New Tool to Replace ESLint and Prettier
    If you’ve ever set up a JavaScript or TypeScript project, chances are you've spent way too much time configuring ESLint, Prettier, and their dozens of plugins. We’ve all been there — fiddling with .eslintrc, fighting with formatting conflicts, and installing what feels like half the npm registry just to get decent code quality tooling. - Source: dev.to / about 2 months ago
View more

What are some alternatives?

When comparing FastAPI and ESLint, you can also consider the following products

Django - The Web framework for perfectionists with deadlines

Prettier - An opinionated code formatter

Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple

CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.