MacPorts
Homebrew
Homebrew Cask
pkgsrc
Conda
Chocolatey
NixOS
Rudix
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Informatica
Rakam
Concurrent
MacPorts DatabricksBased on our record, Databricks should be more popular than MacPorts. It has been mentiond 17 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.
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
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
Homebrew - The missing package manager for macOS
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
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 .
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
pkgsrc - pkgsrc is a framework for building over 17,000 open source software packages.
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.