Software Alternatives, Accelerators & Startups

FastAPI VS Azimutt

Compare FastAPI VS Azimutt and see what are their differences

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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.

Azimutt logo Azimutt

Next-Gen ERD to Design, Explore and Document real world databases (big and messy ones ^^)
  • FastAPI Landing page
    Landing page //
    2023-05-14
  • Azimutt Landing page
    Landing page //
    2023-08-14

If you are looking to explore and understand your database (relational or document), Azimutt is the tool you need. It's the first entity relationship diagram built to handle big database schema (up to 1000 tables) with dedicated features: search, find path and even schema analysis to keep it consistent.

FastAPI

Pricing URL
-
$ Details
free
Platforms
-
Release Date
-
Startup details
Country
Colombia

Azimutt

$ Details
freemium โ‚ฌ7.0 / Monthly (Solo)
Platforms
Web Browser
Release Date
2021 November

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.

Azimutt features and specs

  • User-Friendly Interface
    Azimutt offers a clean and intuitive user interface, making it easy to navigate and use for both technical and non-technical users.
  • Visualization of Database Schema
    The tool provides effective visualization options for database schemas, enabling users to better understand and manage complex databases.
  • Collaborative Features
    Azimutt supports collaboration, allowing multiple users to work together on the same database project, enhancing teamwork and productivity.
  • No Installation Required
    As a web-based application, it does not require any installation or setup, making it convenient to access from any device with internet connectivity.

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

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

Azimutt videos

No Azimutt videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to FastAPI and Azimutt)
Developer Tools
94 94%
6% 6
Database Tools
0 0%
100% 100
API Tools
100 100%
0% 0
Web Frameworks
100 100%
0% 0

Questions & Answers

As answered by people managing FastAPI and Azimutt.

How would you describe the primary audience of your product?

Azimutt's answer:

Azimutt is mainly targeted at developers working with databases, allowing them to easily explore and understand them by either importing the schema or connecting to a live instance.

As it's quite easy to use, we have seen other profile such as product owners, engineering managers and even CFOs using it to better understand the product they build or extract meaningful data on their own ^^

What's the story behind your product?

Azimutt's answer:

Early 2021 I joined Doctolib, a health startup very successful in France, and discovered their big Ruby on Rails monolith backed by a large PostgreSQL database with more than 700 business tables (more then 1300 in total). As an architect I worked with several teams and needed to understand their models but neither Ruby, Rails or the structure.sql were very helpful for such a big app. So I looked for a tool but they all failed with such a large database, so after a few month and tens of tools tested, I decided to build my own: Azimutt. Now it has evolved a lot and we are still very active to enable new usages every months. I believe it's a solid product and quite unique โค๏ธ

Which are the primary technologies used for building your product?

Azimutt's answer:

From development languages, Azimutt is built with Elm/TypeScript for the frontend, Elixir/Phoenix for the backend and PostgreSQL/S3 as storage.

What makes your product unique?

Azimutt's answer:

It's the only ERD able to handle databases with many tables (>1000) nicely thanks to unique features:

  • layouts to see only the relevant tables (not all are useful for everyone)
  • smart search everywhere

It's also very unique in the sense it's made to explore and understand real world databases, from development to production with larges features:

  • database design with an intuitive DSL
  • database documentation, on any table, column or layout (markdown text and tags)
  • database analysis to make sure best practices are in place
  • innovative data exploration

Thousands of developers already love it, give it a try, we have several samples you can try right away!

Why should a person choose your product over its competitors?

Azimutt's answer:

Azimutt is the all-in-one app to explore real world databases. If you look for very specialized features some competitors may be more suited, but if you want a versatile app to explore and understand your database, we believe no competitor come close to us.

  • if you have more than 50 tables, there is no match, you should be amazed by Azimutt features built for large databases
  • if you want to mix data exploration and schema exploration, it's also very unique
  • if you care about open source, visit our GitHub

Who are some of the biggest customers of your product?

Azimutt's answer:

Azimutt is used at Doctolib (3000 people company) and some other french scale ups I can't disclose yet.

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 Azimutt

FastAPI Reviews

  1. Kurslog team
    ยท Working at Kurslog ยท

    When our backend team needs to build services for data parsing, aggregators, or high-load APIs, FastAPI is our absolute go-to choice. It completely lives up to its name-development speed is outstanding.

    The combination of Pydantic for data validation and built-in async support keeps our shared codebase clean, strictly typed, and reliable. But the biggest highlight for our cross-functional team is the automatic generation of interactive OpenAPI (Swagger) documentation. Our frontend and mobile developers no longer have to wait for backend engineers to manually update API docs; everything stays perfectly in sync automatically. It has drastically improved our team's communication and delivery speed.

    ๐Ÿ Competitors: Django, Flask, ExpressJS, Nest.js, Spring Boot
    ๐Ÿ‘ Pros:    Blazing fast performance (on par with nodejs and go)|Native asynchronous support out of the box|Automatic, interactive documentation generation (swagger/redoc)|Strict typing and data validation with pydantic
    ๐Ÿ‘Ž Cons:    Smaller plug-and-play ecosystem compared to older frameworks like django|Requires our architects to design the project structure and directory layout from scratch

The 20 Best Laravel Alternatives for Web Development
FastAPI, as the name hints, is a swift mover. Built on Starlette, itโ€™s all about speed and performance with Python. Crafting API masterpieces at the speed of light, now thatโ€™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 โ€“ 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 businessesโ€™ API needs in todayโ€™s evolving world.

Azimutt Reviews

We have no reviews of Azimutt yet.
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Social recommendations and mentions

Based on our record, FastAPI seems to be a lot more popular than Azimutt. While we know about 311 links to FastAPI, we've tracked only 4 mentions of Azimutt. 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 (311)

  • Shipping Sovereign SDK: Cryptographic Forensic Receipts and the End of the AI "Prose Tax"
    The Sovereign SDK is a Python-native framework designed to minimize prose overhead while generating ironclad, cryptographic execution receipts for AI agents, complete with drop-in FastAPI/Starlette ASGI middleware. - Source: dev.to / about 2 months ago
  • 5-Minute AI Jobs and Closed Tabs โ€” Why We Built Replay-Then-Tail SSE
    We had a feature in production where a single user request could run for five-plus minutes โ€” fetch documents, chunk them, hit an LLM per chunk, synthesize a final answer. We did the obvious thing first: a FastAPI handler that ran the pipeline and streamed progress back to the browser over Server-Sent Events. - Source: dev.to / 3 months ago
  • FastAPI With LangChain and MongoDB
    FastAPI is a Python framework for building APIs quickly, efficiently, and with very little code. - Source: dev.to / 3 months ago
  • I Built A " CrowdSense AI " : A Scalable, Context-Aware Platform for Smart Stadiums
    Backend: Python-based FastAPI for its asynchronous I/O capabilities and rapid JSON serialization. - Source: dev.to / 3 months ago
  • Async PyMongo in FastAPI
    FastAPI is a high-performance web framework that is production-ready and designed for building APIs in python, with roots embedded in asynchronous programming. It embraces Pythonโ€™s asyncio model as its core principle rather than treating it as optional. This design choice gives FastAPI leverage for I/O bound workloads such as db access, external API calls and real-time data streaming. - Source: dev.to / 3 months ago
View more

Azimutt mentions (4)

  • SQLitebrowser: First update in three years (July 2024)
    Not mine but someone showed me this : https://azimutt.app/. - Source: Hacker News / almost 2 years ago
  • SQLite Schema Diagram Generator
    I just want to get a basic overview quickly. An old colleague of mine created an interactive web app that does this. We use it internally and I find it super useful. Supports SQLite, among others: https://azimutt.app/. - Source: Hacker News / over 2 years ago
  • One Month Post Product Hunt Launch: An Honest Review of Azimutt.app launch
    Hello Dev.to community, I'm Sam, a proud part of a dedicated trio that built Azimutt.app. - Source: dev.to / about 3 years ago
  • pgAdmin Generate ERD stuck on load
    A couple of options here: - From a database. Generate ERD by connecting to your database directly. I've used this as a quick way to generate a diagram from my local or even QA DB (not prod DB for obvious security reasons). - From a schema dump file. Take a pg dump and then generate an ERD from the dump file. There are ERD tools like dbdaddy.dev and azimutt.app that support these options. Source: over 3 years ago

What are some alternatives?

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

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

DrawSQL - Easy database diagrams. Create, visualize and collaborate on your database entity relationship diagrams.

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

DBDiagram.io - Free database diagrams designer for analysts & developers ๐Ÿ› 

Django - The Web framework for perfectionists with deadlines

ChartDB - Visualize your DB via one-single query. Free and open source, database design editor.