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Xonsh is a Python-powered, cross-platform, Unix-gazing shell language and commands prompt. The language is a superset of Python 3.6+ with additional shell primitives that you are used to from Bash and IPython. It works on all major systems including Linux, OSX, and Windows. Xonsh is meant for the daily use of experts and novices. The xonsh shell lets you easily mix Python and shell commands in a powerful and simplified approach to the command line.

...Global/session proxy. Quick commands. UI/terminal theme. Sync bookmarks/themes/quick commands to GitHub/Gitee secret gist. Support serial Port (version > 1.21.8). Quick input to one or all terminals.

Manage multiple runtime versions with a single CLI tool. Manage each of your project runtimes with a single CLI tool and command interface. asdf is a CLI tool that can manage multiple language runtime versions on a per-project basis. It is like gvm, nvm, rbenv & pyenv (and more) all in one! Simply install your language's plugin! Large ecosystem of existing runtimes & tools. Simple API to add support for new tools as you need! Support for existing config files .nvmrc, .node-versions, .ruby-version for smooth migration! ...

TinyGo brings the Go programming language to embedded systems and to the modern web by creating a new compiler based on LLVM. You can compile and run TinyGo programs on over 60 different microcontroller boards such as the BBC micro:bit and the Arduino Uno. TinyGo can also produce WebAssembly (WASM) code which is very compact in size. You can compile programs for web browsers, as well as for server and edge computing environments that support the WebAssembly System Interface (WASI) family of...

A web scraping system aiming to simplify data extraction from the web. ferret has a declarative query language that makes it easy to focus on the data that you need to get. ferret has the ability to scrape JS rendered pages, handle all page events, and emulate user interactions. the ferret was designed as a library from the ground up. it can be easily embedded into any Go application. ferret helps you to focus on the data you need using an easy-to-learn declarative language. ferret uses Chrome/Chromium via Chrome Devtools Protocol to handle dynamically rendered web pages. ferret is extremely extensible, and creating custom functions and types is super easy. ferret allows users to focus on the data. ...

wego is a weather client for the terminal. Config file for default location which can be overridden by commandline. Automatic config management with ingo. A working Go 1.5 environment (You can use goenv if your distribution does not support Go 1.5 yet). utf-8 terminal with 256 colors. A sane monospaced font containing all the required runes (I use dejavu sans mono). An API key for the backend. You can create an account and get a free API key by signing up. You can set the $WEGORC environment...

This software, consisting of a daemon and a command shell, is meant to be used together with the Xtreme GM7 GPS tracker to help simplify its management and to make it possible to monitor alerts sent by the tracker. The software is intended to be run as a GNU/Linux service that always runs in the background and can be used to both receive location updates from a remote tracker as well as configuring the tracker (over both USB and a GPRS link to the device). All received events are...

...You can also use Nodebook directly on the command line, running your notebooks upon change. A notebook is a folder containing an {index|main}.{js,py,c,cpp,...} file. The homepage lists all of the available notebooks. Click on the + Notebook button on the Home page, then select the language of the notebook to be created. Once on the notebook edition page, you can rename the notebook by clicking on it's name. Notebooks are created in the directory specified by the parameter --notebooks.

awless is a powerful, innovative and small surface command-line interface (CLI) to manage Amazon Web Services. Provides a simple/powerful text templating language to create and revert fully-fledged infrastructures. Wrapping/composing AWS API calls when necessary to enrich behavior. Ex: ensure smart defaults, security best practices, etc. Local log of all your cloud modifications done through awless to list/revert past actions. sync to a local graph storage of your cloud representation. Exploration of your cloud infrastructure and resources interrelations, even offline using the local graph storage. ...