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Showing 5 open source projects for "macos"
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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create-dmg
Create a good-looking DMG for your macOS app in seconds
Imagine you have finished a macOS app, exported it from Xcode, and now want to distribute it to users. The most common way of distributing an app outside the Mac App Store is by putting it in a .dmg file. These are hard to create, especially good-looking ones. You can either pay for a GUI app where you have to customize an existing design or you can run some homebrewed Bash script and you still have to design it. -
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ShellJS
Portable Unix shell commands for Node.js
ShellJS is a portable (Windows/Linux/macOS) implementation of Unix shell commands on top of the Node.js API. You can use it to eliminate your shell script's dependency on Unix while still keeping its familiar and powerful commands. You can also install it globally so you can run it from outside Node projects, say goodbye to those gnarly Bash scripts! ShellJS is proudly tested on every node release since v8! -
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Data Science at the Command Line
Data science at the command line
...You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power. -
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NBA GO
The finest NBA CLI
...By default, the docker container will run nba-go game -t, but you can override this command at run time. Or download the latest version pkg binaries in releases. It can be run on Linux, macOS, and Windows. Depending on the status of the game you chose, a different result will be shown. There are three kinds of statuses that may be displayed. In order to show the schedule on some days, nba-go provides the command nba-go game with some options. Enter a specific date to check the schedule on that day. Best feature! Real-time updated play-by-play, scoreboard, and box score. ... -
Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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WidgetTerm is a terminal Dashboard Widget for Mac OS X 10.4 or above. This widget implements the terminal function through the Web Kit Plug-in in Objective-C powered by iTerm's open source terminal implementation.
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