Software Alternatives, Accelerators & Startups

pacman (package manager) VS Jupyter

Compare pacman (package manager) VS Jupyter and see what are their differences

pacman (package manager) logo pacman (package manager)

The pacman package manager is one of the major distinguishing features of ...

Jupyter logo 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.
  • pacman (package manager) Landing page
    Landing page //
    2022-01-07
  • Jupyter Landing page
    Landing page //
    2023-06-22

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Jupyter videos

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Category Popularity

0-100% (relative to pacman (package manager) and Jupyter)
Front End Package Manager
Data Science And Machine Learning
Package Manager
100 100%
0% 0
Data Dashboard
0 0%
100% 100

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Reviews

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Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.

Social recommendations and mentions

Based on our record, Jupyter should be more popular than pacman (package manager). It has been mentiond 206 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.

pacman (package manager) mentions (39)

  • Been thinking of switching to linux but I am a noob
    However, that "pacman -S" command has lots of switches (see section 1.1.1 ==> https://wiki.archlinux.org/title/pacman ). Source: 7 months ago
  • How to build Software as a Service (SaaS) Notes application with mySQL/MariaDB and Apache in 300 lines of code
    Install Vely - you can use standard packaging tools such as apt, dnf, pacman or zypper. - Source: dev.to / 10 months ago
  • Project on GitHub - Customizable Arch Linux Podman images based on the official Arch Linux Docker image
    Automatic installation of packages during building utilizes pacman and aurman with the supported "package sources" being:. Source: 11 months ago
  • A response to the Fedora 40 Privacy-Preserving Telemetry Proposal
    * Package management and DNF syntax usage are big topics. Follow the Arch Wiki example for the "pacman" package management tool ==> https://wiki.archlinux.org/title/pacman. Source: 12 months ago
  • Could someone make a Decky plugin that automates installing common dependencies?
    Should be possible as the Arch distro SteamOS is built on includes pacman. Source: almost 1 year ago
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Jupyter mentions (206)

  • Interactive Visualizations of Rate-Limiting Algorithms
    Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 2 months ago
  • scrape-yahoo-finance
    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
  • Let’s build AI-tools with the help of AI and Typescript!
    Jupyter Lab web-based interactive development environment. - Source: dev.to / 3 months ago
  • Scrape Redfin Property Data
    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
  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    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
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What are some alternatives?

When comparing pacman (package manager) and Jupyter, you can also consider the following products

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.

Yay - Yay is an AUR helper written in go, based on the design of yaourt, apacman and pacaur.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Chocolatey - The sane way to manage software on Windows.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.