hapi vs. Hug vs. Fastify

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Favorites

24

Favorites

16

Favorites

4

Hacker News, Reddit, Stack Overflow Stats

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  • 146
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GitHub Stats

Description

What is hapi?

hapi is a simple to use configuration-centric framework with built-in support for input validation, caching, authentication, and other essential facilities for building web applications and services.

What is Hug?

Hug aims to make developing Python driven APIs as simple as possible, but no simpler. As a result, it drastically simplifies Python API development.

What is Fastify?

Fastify is a web framework highly focused on speed and low overhead. It is inspired from Hapi and Express and as far as we know, it is one of the fastest web frameworks in town. Use Fastify can increase your throughput up to 100%.

Pros

Why do developers choose hapi?
Why do you like hapi?

Why do developers choose Hug?
Why do you like Hug?

Why do developers choose Fastify?
Why do you like Fastify?

Cons

What are the cons of using hapi?
No Cons submitted yet for hapi
Downsides of hapi?

What are the cons of using Hug?
No Cons submitted yet for Hug
Downsides of Hug?

What are the cons of using Fastify?
No Cons submitted yet for Fastify
Downsides of Fastify?

Companies

What companies use hapi?
51 companies on StackShare use hapi
What companies use Hug?
1 companies on StackShare use Hug
What companies use Fastify?
4 companies on StackShare use Fastify

Integrations

What tools integrate with hapi?
3 tools on StackShare integrate with hapi
What tools integrate with Hug?
1 tools on StackShare integrate with Hug
What tools integrate with Fastify?
1 tools on StackShare integrate with Fastify

What are some alternatives to hapi, Hug, and Fastify?

  • ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
  • Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
  • Django REST framework - Web APIs for Django
  • Sinatra - Classy web-development dressed in a DSL

See all alternatives to hapi



Interest Over Time


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