anaibol/awesome-serverless

:cloud: A curated list of awesome services, solutions and resources for serverless / nobackend applications.

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Summary Information

Updated 15 minutes ago
Added to GitGenius on September 8th, 2026
Created on February 9th, 2016
Open Issues & Pull Requests: 35 (+0)
GitHub issues: Enabled
Number of forks: 737
Total Stargazers: 7,584 (+0)
Total Subscribers: 236 (+0)

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Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 206 days
Stale 30+ days: 1
Stale 90+ days: 1

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Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Awesome Serverless is a curated list that collects services, solutions, and resources for building serverless and nobackend applications.

The project addresses the challenge of navigating the fragmented serverless ecosystem by organizing tools and platforms across functional categories. Rather than explaining how to build serverless systems, it serves as a reference guide that maps the landscape of available options, from compute platforms and frameworks to specialized services for payments, authentication, databases, and monitoring.

Developers should use this list when evaluating serverless architectures or seeking specific tools within the serverless space. It suits teams exploring the serverless model for the first time, those building new applications on serverless platforms, and engineers looking for solutions to particular problems like cost calculation, logging, or real-time functionality. The list does not position itself against alternatives; it functions as a comprehensive index rather than a comparative guide.

The project maintains an organized structure with clearly defined categories covering the full spectrum of serverless concerns, from all-in-one solutions and hosting platforms through frameworks, security, CI/CD, databases, and supporting services like email and SMS. The README includes explanatory content defining serverless computing and providing context for the category structure, making it accessible to developers new to the model.