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pikaur VS Driven Data

Compare pikaur VS Driven Data and see what are their differences

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pikaur logo pikaur

AUR helper with minimal dependencies. Review PKGBUILDs all in once, next build them all without user interaction.Inspired by pacaur, yaourt and yay.

Driven Data logo Driven Data

DrivenData hosts data science competitions to build a better world, bringing cutting-edge predictive models to organizations tackling the world's toughest problems.
  • pikaur Landing page
    Landing page //
    2023-08-18
  • Driven Data Landing page
    Landing page //
    2023-10-23

pikaur features and specs

  • AUR Helper
    Pikaur is an Arch User Repository (AUR) helper, which simplifies the process of installing and managing AUR packages on Arch Linux systems.
  • Interactive Search
    It provides an interactive search feature that allows users to easily find and select packages using a command-line interface.
  • Dependency Management
    Automatically resolves and manages package dependencies, making installation and updates easier for users.
  • User-friendly Interface
    Offers a user-friendly interface that improves the overall experience of managing packages compared to using standard pacman commands.
  • Sudo Privilege Management
    Manages sudo privileges efficiently, requiring fewer password prompts during package operations.

Possible disadvantages of pikaur

  • Limited to Arch-based Systems
    Pikaur is specifically designed for Arch Linux and its derivatives, limiting its use to those systems.
  • Dependency on Python
    Requires Python, meaning users need to ensure Python is installed and properly configured on their system.
  • Potential for AUR Package Issues
    Since AUR packages are user-generated, there can be inconsistencies or issues with package scripts that might affect installations.
  • Security Risks
    As with other AUR helpers, users may inadvertently install potentially harmful or insecure software from the AUR.
  • Learning Curve
    New users may face a learning curve when first using Pikaur compared to more graphical or traditional package managers.

Driven Data features and specs

  • Social Impact
    Driven Data focuses on data-driven projects with a social impact, allowing data scientists to contribute to meaningful causes.
  • Collaboration and Learning
    Driven Data offers opportunities for collaboration and learning by engaging with a community of data scientists and experts from various fields.
  • Real-World Challenges
    The platform provides access to real-world data challenges, which can enhance the skills and experience of participating data scientists.
  • Exposure and Recognition
    Participants can gain exposure and recognition for their work by contributing to high-impact projects and competing in challenges.

Possible disadvantages of Driven Data

  • Competition Intensity
    The competitive nature of challenges on Driven Data can be intense, potentially discouraging for some participants who are less experienced.
  • Resource Limitations
    Participants may face limitations in terms of computational resources and access to tools compared to large organizations or academic institutions.
  • Niche Focus
    The focus on socially impactful projects means that the platform may not cater to data scientists interested in more commercial or industry-specific applications.
  • Variable Data Quality
    The quality and cleanliness of the data provided in challenges can vary, sometimes requiring significant preprocessing effort from participants.

pikaur videos

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Pikaur et Wish, deux successeurs potentiels à Pacaur ?

Driven Data videos

No Driven Data videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to pikaur and Driven Data)

pikaur

Driven Data

Work Music
100 100%
Work Music
0% 0
Development
0 0%
Development
100% 100
Focus Music
100 100%
Focus Music
0% 0
Education & Reference
0 0%
Education & Reference
100% 100

User comments

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Social recommendations and mentions

Based on our record, pikaur seems to be more popular. It has been mentiond 4 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.

pikaur mentions (4)

  • Using pikaur, how would I disable asking me "Do you want to edit PKGBUILD for <package_name> package? [Y/n]"
    Have a look here. Did you not search for the answer? That's part of the Arch(based) ethos. We tend to like to learn by reading whatever is required. :). Source: over 3 years ago
  • Nala v0.10.0 - Nala's A Legible Apt
    I was also looking for something nicer for Arch, but haven't found anything as nice as Nala. For now, I switched to pikaur, which at least displays updates in a much clearer way. Source: about 4 years ago
  • I created a tool to install AUR packages in 1 click from the website: Aurin
    Nice, but this definately needs a dependency resolver, otherwise it can only install a fraction of the available AUR packages. Since you're already using python, you may adapt your whole code on top a another python-based AUR helper like pikaur. You maybe also could take at the dep resolver of my ABS project. It's python, too, maybe not as clean as pikaur's code but simpler and not too integrated. Source: over 4 years ago
  • Which AUR-helper is recommended?
    I've been using pikaur ever since pacaur became abandonware and I'm very happy with it, can't recommend it enough. Sure, it's not implemented in Rust or Go so it's certainly not as cool as yay or paru but that doesn't really matter much to me, being an end user. I don't really care as long as it does its job, as advertised. Source: over 5 years ago

Driven Data mentions (0)

We have not tracked any mentions of Driven Data yet. Tracking of Driven Data recommendations started around Mar 2021.

What are some alternatives?

When comparing pikaur and Driven Data, you can also consider the following products

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

Kaggle - Kaggle offers innovative business results and solutions to companies.

paru - An AUR helper written in Rust and based on the design of yay. It aims to be your standard pacman wrapping AUR helper with minimal interaction.

Numerai - Hedge fund that crowdsources market trading from AI programmers over the Internet

Trizen - Trizen AUR Package Manager: A lightweight wrapper for AUR.

Colaboratory - Free Jupyter notebook environment in the cloud.

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