ArcGIS API for Python VS FastAPI

Compare ArcGIS API for Python VS FastAPI and see what are their differences

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ArcGIS API for Python

Perform visualization, analysis and management of your web GIS using a powerful, modern and easy to use Python API.

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.

Landing page //
2023-05-22

Landing page //
2023-05-14

ArcGIS API for Python

Website: developers.arcgis.com
$ Details: -

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FastAPI

Website: fastapi.tiangolo.com
$ Details: free

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ArcGIS API for Python features and specs

No features have been listed yet.

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.

ArcGIS API for Python videos

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Introduction to the ArcGIS API for Python

FastAPI videos

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FastAPI from the ground up

Category Popularity

0-100% (relative to ArcGIS API for Python and FastAPI)

ArcGIS API for Python

FastAPI

Web Frameworks

12 12%

Web Frameworks

88% 88

Developer Tools

6 6%

Developer Tools

94% 94

Python Web Framework

26 26%

Python Web Framework

74% 74

API Tools

0 0%

API Tools

100% 100

User comments

Share your experience with using ArcGIS API for Python and FastAPI. For example, how are they different and which one is better?

Reviews

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

ArcGIS API for Python Reviews

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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 seems to be a lot more popular than ArcGIS API for Python. While we know about 286 links to FastAPI, we've tracked only 6 mentions of ArcGIS API for Python. 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.

ArcGIS API for Python mentions (6)

GeoTab and ArcGIS Online Intergration
If it were me, I'd start with Geotab's developer api for programmatically tapping into the feeds of near real time vehicle movement, combined with ESRI's python api for creating and updating feature services on Arconline. I bet you could get near real time if you run the updates fairly frequently, like maybe once or twice a minute, depending on your needs. Source: almost 2 years ago
ArcGIS / ArcMap on Linux with Bottles?
If you are used to Python and Jupyter Notebooks, you should definately get your hands dirty with https://developers.arcgis.com/python/. Source: about 2 years ago
Exporting private feature service from AGOL
Have you looked at ArcGIS API for Python? It's not the same as arcpy, but used more for working with Esri's portals. Source: about 2 years ago
Any GIS developers here?
We are very heavy into using the ESRI suite of tools and which languages I use depend heavily on the project I am working on. I would say I mostly use Python, but mainly with the ArGIS API for Python, not arcpy. I do use quite a bit of javascript to develop UIs for widgets as well, but that is not anywhere near as common. Source: over 2 years ago
Python courses - best one for GIS?
Once you have your foundation, then https://developers.arcgis.com/python/ and https://developers.arcgis.com/documentation/arcgis-add-ins-and-automation/arcpy/ become much easier to understand. Also be aware that you can run Geoprocessing Tools in ArcGIS Desktop and in the Geoprocessing History, copy out the Python snippets to add to your code and automate. Source: almost 3 years ago

FastAPI mentions (286)

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 / 10 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 / 11 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 / 12 days ago
Python: Why Quart Might Be the Better Choice over FastAPI
Python's diverse ecosystem of web frameworks offers developers a wide range of choices for building robust and efficient applications. In the realm of asynchronous frameworks, Quart and FastAPI have emerged as popular options. While FastAPI has gained considerable attention for its speed and developer-friendly features, Quart presents a compelling alternative, especially for those already familiar with the Flask... - Source: dev.to / 22 days ago
Partner Models for Payments: How Rapyd Powers Partner Payment Solutions
Let's look at how to use Rapyd to build a simple system where you can onboard merchants, add products, receive payments, and receive payouts, all powered by Rapyd's API. To fully integrate this system, businesses can sign up as a Rapyd partner to access additional capabilities for managing merchant transactions. In this tutorial, you'll see how to use the FastAPI framework in Python to create endpoints for each... - Source: dev.to / about 1 month ago