Based on our record, Lazydocker seems to be more popular. It has been mentiond 24 times since March 2021. 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.
Lazydocker [0] is by the same author as lazygit. I'm thoroughly familiar with the Docker CLI, but sometimes it's just easier to use a GUI or TUI for some things. In particular, I use lazydocker for cleaning up volumes or images that may no longer be needed. [0] https://github.com/jesseduffield/lazydocker. - Source: Hacker News / 5 days ago
To better and easier manage our containers, I use Lazydocker; For an explanation of the tool and how to install it, you can read my previous article where I explain how to install and manage Lazydocker in Ubuntu Windows Development Environment. - Source: dev.to / 10 months ago
There's the lazydocker TUI for quick and easy status/logs. Source: 10 months ago
I installed LazyDocker because I was bored at work one day and saw a reddit post Now I don't know if I can live without it. Source: 11 months ago
Electron? That's from RedHat, so I guess it's yet another fail for GTK.. Why not a simple TUI? https://github.com/jesseduffield/lazydocker I will never understand why people choose to use Electron.. Nothing in the program requires a web browser, literally nothing What happened to software "engineers"? - Source: Hacker News / 12 months ago
Portainer - Simple management UI for Docker
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
lazygit - Simple terminal UI for git commands.
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.