oauth2 VS cortex

Compare oauth2 vs cortex and see what are their differences.

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oauth2 cortex
8 33
5,156 7,990
1.0% 0.1%
7.4 2.2
3 days ago 11 months ago
Go Go
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

oauth2

Posts with mentions or reviews of oauth2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-22.

cortex

Posts with mentions or reviews of cortex. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-10.

What are some alternatives?

When comparing oauth2 and cortex you can also consider the following projects:

authelia - The Single Sign-On Multi-Factor portal for web apps

MLflow - Open source platform for the machine learning lifecycle

casbin - An authorization library that supports access control models like ACL, RBAC, ABAC in Golang: https://discord.gg/S5UjpzGZjN

golang-design-pattern - 设计模式 Golang实现-《研磨设计模式》读书笔记

goth - Package goth provides a simple, clean, and idiomatic way to write authentication packages for Go web applications.

prysm - Go implementation of Ethereum proof of stake

jwt-go - ARCHIVE - Golang implementation of JSON Web Tokens (JWT). This project is now maintained at:

terraform-provider-azurerm - Terraform provider for Azure Resource Manager

webauthn - Go package for easy WebAuthn integration

OpenFaaS - OpenFaaS - Serverless Functions Made Simple

k6 - A modern load testing tool, using Go and JavaScript - https://k6.io

zenml - ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning. [Moved to: https://github.com/zenml-io/zenml]