MacPorts
Homebrew
Homebrew Cask
pkgsrc
Conda
Chocolatey
NixOS
Rudix
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
MacPorts JupyterBased on our record, Jupyter seems to be a lot more popular than MacPorts. While we know about 206 links to Jupyter, we've tracked only 5 mentions of MacPorts. 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.
Brew & macports have libvirt & virt-manager that are used to manage qemu via GUI. Source: over 1 year ago
Or instead of all this, try MacPorts[0], which in my experience has 99% of what you need. The biggest drawbacks are less support from quite niche packages (the ones that sets up its own homebrew tap), and a bit slower updates. But then I found it bearable much more than homebrew’s downsides. [0]: https://macports.org. - Source: Hacker News / almost 2 years ago
You can install wireguard-go and wireguard-tools (or boringtun, which is Cloudflare's userspace implementation) using either MacPorts or Brew. Source: almost 2 years ago
That being said, I'm going to assume that you're working on MacO. Flatpaks aren't going to be an option, that's only going to work if you're using Linux (like Fedora, Ubuntu, Gentoo, Arch, Mint, and so on). If you need to install HandBrake, you may want to consider using macports.org, or brew.sh, these are projects that provide additional libraries and packages for MacOS, this way you can install additional... Source: about 2 years ago
On macOS you can also install the latest release with MacPorts:. - Source: dev.to / over 2 years ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 1 month ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 3 months ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 2 months ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 4 months ago
Homebrew - The missing package manager for macOS
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Homebrew Cask - Install with ease. Your software is just one command away from being ready and raring to go. Forget all about babysitting the install process step by step, from website to cleanup. ls /usr/local/Caskroom google-chrome .
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
pkgsrc - pkgsrc is a framework for building over 17,000 open source software packages.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.