
Gitpod
GitHub Codespaces
replit
Codeanywhere
AWS Cloud9
CodeSandbox
Coder
Koding
Command Book
Warp Terminal
iTerm
Kitty terminal
Ghostty
tmux
Foreman
PM2
Command Book is a native macOS app built with SwiftUI that gives your long-running terminal commands a permanent home. Instead of juggling terminal tabs for dev servers, background workers, Docker containers, and log tails every morning, Command Book lets you save each command once with its working directory, environment variables, and pre-commands, then run them instantly whenever you need them.
The app includes auto-restart on crash (nicknamed "Honey Badger mode") to keep dev servers running through file change errors, a ⌘K command palette for keyboard-first workflows, automatic URL detection that keeps your dev server addresses accessible regardless of output scrolling, and a full CLI for running saved commands directly from the terminal. At 21 MB with no Electron or Chromium, it stays lightweight and fast.
Free personal license available. Pro edition is a one-time $14.99 purchase with no subscription, no account required, and no tracking. No VC, no enterprise upsell. Feedback welcome. Windows version is under consideration.
Gitpod
Command BookCommand Book's answer:
Swift and SwiftUI for a fully native macOS experience.
Command Book's answer:
Command Book is a dedicated command/process manager for developers, not a terminal emulator. Instead of replacing your terminal, it works alongside it as a companion for long-running commands. It's a native macOS app built with SwiftUI at just 21 MB. No Electron, no Chromium. It combines a GUI with a full CLI, so you can manage commands visually or from your terminal.
Command Book's answer:
Terminal emulators are great for interactive work but terrible as process managers. Command Book fills that gap. You save a command once with its working directory, env vars, and pre-commands, then run it forever without remembering the setup. Auto-restart keeps crashed dev servers running. URL detection means you never lose track of your dev server's address. And at 21 MB with no subscription or tracking, it's lightweight in every sense.
Command Book's answer:
Developers who juggle multiple long-running processes every day. Web developers running dev servers and background workers, data scientists kicking off training runs, DevOps engineers managing Docker containers and log tails. Anyone who opens 4-6 terminal tabs each morning just to get their environment running.
Command Book's answer:
After years juggling commands for dev projects, I was tired of rebuilding my terminal setup every morning. Five or six tabs, each needing the right directory and env vars, and when something crashed mid-day I'd hunt through tabs to find it. I looked for a tool that managed long-running commands as saved, reproducible, auto-restarting processes. It didn't exist, so I built it for myself. It was such a delight, I turned it into a product.
Based on our record, Gitpod seems to be more popular. It has been mentiond 76 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.
# Example of setting up a Gitpod workspace # Open your repository in Gitpod with one click Https://gitpod.io/#https://github.com/your-repo. - Source: dev.to / over 1 year ago
For my part, I often develop on cloud environments. I was lucky to come across Gitpod in 2019 and I have been using it everyday since, whether for Zenika projects, personal projects or open source projects. - Source: dev.to / about 2 years ago
We will use VScode workspace running on Gitpod as an IDE, you can use VScode on your local machine but you need to skip steps or change some details related to Gitpod. We will begin by setting up the workspace, preparing the requirements, and installing the dependencies. - Source: dev.to / almost 2 years ago
Next, we need to install Docker by downloading it from the official website if you haven't already. Alternatively, use a free online platform like Gitpod or a VPS to run a Docker instance, if possible. Otherwise, install it on your local computer. - Source: dev.to / about 2 years ago
If you prefer instead to have a look at a fully working & effect-native app we've prepared a demo cli app that you can directly open in Gitpod or locally (if you prefer), you'll need to provide an OpenAI API Key in order to integrate with the OpenAI API. The demo app allows you to train a model via embeddings from a set of files and then allows you to prompt the trained model with questions. - Source: dev.to / over 2 years ago
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