Software Alternatives, Accelerators & Startups

Plotly VS paru

Compare Plotly VS paru and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

paru logo 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.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • paru Landing page
    Landing page //
    2022-02-16

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

paru features and specs

  • AUR Helper
    Paru is an AUR helper, which means it simplifies the process of searching, installing, and upgrading packages from the Arch User Repository.
  • Features Rich
    Paru offers rich features including dependency resolution, conflict detection, and parallel downloads, enhancing the overall package management experience.
  • User-Friendly Interface
    Designed with a focus on usability, Paru provides an intuitive and user-friendly command-line interface for managing packages.
  • Active Development
    Paru is actively developed and maintained, ensuring regular updates and prompt responses to issues and feature requests.
  • Built-in AUR Interactive Mode
    It offers an interactive mode for reviewing PKGBUILDs before installation, ensuring transparency and control over what gets installed.

Possible disadvantages of paru

  • Arch-Specific
    Paru is specific to Arch Linux and its derivatives, which limits its usability to this subset of Linux distributions.
  • Command-Line Interface
    As a command-line tool, it may not be suitable for users who prefer graphical interfaces or are unfamiliar with terminal commands.
  • AUR Risks
    Installing packages from the AUR can pose security and stability risks as these packages are user-submitted and not officially vetted.
  • Learning Curve
    For new users, there might be a learning curve associated with understanding and using Paru effectively, especially if they are new to Arch Linux.
  • Dependency Management Complexity
    Handling complex dependencies for certain packages might require manual intervention and understanding of the system's package management.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

paru videos

Attention Arch Users! Replace 'Yay' With 'Paru'.

More videos:

  • Review - Arch Linux: The Paru AUR Helper
  • Review - เฐจเฑเฐตเฑเฐตเฑ เฐฎเฑŠ**เฐฒเฑ‹ Questions เฐ…เฐกเฐ—เฐ•เฑ เฐฆเฐตเฐก เฐฎเฑ€เฐฆ เฐฆเฑ†เฐ‚**| Laila Paru Interview | Tiktok StarS interviewS | IB9TV

Category Popularity

0-100% (relative to Plotly and paru)
Data Visualization
100 100%
0% 0
Work Music
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Focus Music
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and paru

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

paru Reviews

We have no reviews of paru yet.
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Social recommendations and mentions

Based on our record, Plotly should be more popular than paru. It has been mentiond 34 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
View more

paru mentions (12)

  • My First Arch Linux Installation
    But you can also choose another one (like paru which is written in Rust), or if you're really going in Arch Linux way, get familiar with the manual build process. - Source: dev.to / about 2 years ago
  • switch from nouveau to 390xx drivers xorg
    Next compile / install the AUR package https://aur.archlinux.org/packages/nvidia-390xx-dkms - I'd recommend using a helper app like paru to help installing updates for it easier. Reboot and the nvidia v390 kernel module should have loaded. Source: about 3 years ago
  • What goes into maintaining an Arch system?
    Many users also use an AUR helper, which makes it easier to install and upgrade packages from the AUR. Yay and paru are the most popular. Source: about 4 years ago
  • How can I add aur in an arm arch Linux, is it with the same paru-bin located at https://aur.archlinux.org/paru-bin.git ????
    Paru-bin provides binaries for x86_64 and aarch64. If your device is not aarch64, you'll have to build paru from source. Source: about 4 years ago
  • any solution for checkupdates-aur
    I use paru as my aur helper. It uses the same flags pacman does with additional ones if you want to handle only aur updates instead of both pacman packages + aur. Source: over 4 years ago
View more

What are some alternatives?

When comparing Plotly and paru, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

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

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

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

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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