cheatsheets VS OpenFaaS

Compare cheatsheets vs OpenFaaS and see what are their differences.

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cheatsheets OpenFaaS
60 56
5,596 24,515
1.5% 0.8%
7.6 6.8
5 days ago 16 days ago
TeX Go
Creative Commons Attribution 4.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

cheatsheets

Posts with mentions or reviews of cheatsheets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-24.

OpenFaaS

Posts with mentions or reviews of OpenFaaS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-20.

What are some alternatives?

When comparing cheatsheets and OpenFaaS you can also consider the following projects:

tidytuesday - Official repo for the #tidytuesday project

IronFunctions - IronFunctions - the serverless microservices platform by

forcats - ๐Ÿˆ๐Ÿˆ๐Ÿˆ๐Ÿˆ: tools for working with categorical variables (factors)

LocalStack - ๐Ÿ’ป A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

mostly-adequate-guide - Mostly adequate guide to FP (in javascript)

dapr - Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.

ggplot2-book - ggplot2: elegant graphics for data analysis

OpenWhisk - Apache OpenWhisk is an open source serverless cloud platform

mech - ๐Ÿฆพ Main repository for the Mech programming language. Start here!

fn - The container native, cloud agnostic serverless platform.

ggplot2 - An implementation of the Grammar of Graphics in R

Appwrite - Build like a team of hundreds_