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Ninite VS Plotly

Compare Ninite VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Ninite logo Ninite

Ninite is the easiest way to install software.

Plotly logo Plotly

Low-Code Data Apps
  • Ninite Landing page
    Landing page //
    2022-03-11
  • Plotly Landing page
    Landing page //
    2023-07-31

Ninite features and specs

  • Ease of Use
    Ninite offers a simple and straightforward interface that allows users to select and install multiple applications at once without any hassle.
  • Automatic Updates
    The service automatically updates apps to their latest versions, which reduces the risk of security vulnerabilities and ensures users have access to the latest features.
  • Batch Installation
    Ninite allows users to download and install multiple programs simultaneously, saving time compared to individual downloads and installations.
  • No Adware/Bloatware
    Ninite ensures that the software it installs is free of adware or bloatware, providing a clean installation experience.
  • Security
    Ninite downloads installers directly from official sources and verifies the file's certificates to ensure their authenticity.

Possible disadvantages of Ninite

  • Limited Software Selection
    Ninite offers a curated list of popular applications, but it does not support every piece of software, which can be a drawback for users needing more obscure programs.
  • Windows-Only
    Ninite is available only for Windows operating systems, leaving macOS and Linux users without support.
  • Lack of Advanced Configuration
    Ninite does not offer advanced installation options such as custom installation paths or detailed configuration settings.
  • Requires Internet Connection
    An active internet connection is required to use Ninite, which means it cannot be used in offline environments.
  • Not All Updates Are Instant
    Although Ninite updates apps, there can be a delay between when a new version is released and when it becomes available through Ninite.

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.

Analysis of Ninite

Overall verdict

  • Yes, Ninite is generally considered good for users looking to simplify the process of maintaining multiple applications. It is especially appreciated for its ease of use, reliability, and the time it saves users by bypassing individual installations.

Why this product is good

  • Ninite is widely regarded as a convenient and efficient tool for installing and updating multiple software applications on Windows systems with minimal user input. It automates the download and installation process, ensuring that users receive the latest versions without the bundled adware or unnecessary bloat often included with standalone installers.

Recommended for

  • Users who frequently set up new computers and need to install multiple applications quickly.
  • IT professionals and system administrators who manage software deployments across numerous devices.
  • Anyone looking for a hassle-free way to keep software applications up to date without dealing with individual updates and installers.

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.

Ninite videos

+ Add

Easiest Way To Setup a New Computer ft. Ninite - Tech Tips Suggested Software

More videos:

  • Review - Ninite Review | If You Have A PC Then You Need Ninite

Plotly videos

+ Add

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

Category Popularity

0-100% (relative to Ninite and Plotly)

Ninite

Plotly

Windows Tools
100 100%
Windows Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Package Manager
100 100%
Package Manager
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Ninite and Plotly. For example, how are they different and which one is better?
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Reviews

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

Ninite Reviews

5 Best Windows package manager to use via command line
Unlike others we have mentioned above, the Ninite is not a command-line based package installer, instead of a Graphical user interface. I know CLI is not a cup of tea to everyone, therefore, in that case, one can go for Ninite for installing popular Windows applications. It works on Windows 10, 8, 7โ€ฆ
Source: www.how2shout.com
6 Best Windows Package Manager to Auto-Update Apps (2020)
I am sure you would have heard of Ninite. It is a web app that lets you club a bunch of software together in a single executable file. And then just in one go, you are installing several apps. But how does that make Ninite a package manager? It doesnโ€™t let you update apps right! Well, you have Ninite pro for that starting at 1$/per user per month.
Source: techwiser.com

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Ninite seems to be a lot more popular than Plotly. While we know about 450 links to Ninite, we've tracked only 34 mentions of Plotly. 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.

Ninite mentions (450)

  • How to Automate Installing Windows Apps
    You can install most of the popular apps using this GUI tool by going to Ninite website then Check your desired apps. - Source: dev.to / 11 months ago
  • What is an SBAT and why does everyone suddenly care
    How does tgup compare to ninite? The latter seems more polished and older/stable, with more software available. https://ninite.com/. - Source: Hacker News / almost 2 years ago
  • Ask HN: What tools do you recommend for working on Windows?
    Https://ninite.com/ has a lot of decent tools in one place (select the ones you want, download one exe - run it, it grabs the latest version of everything you selected and installs it with sane options [no toolbars / good location] (I haven't used it in a long time so I am not sure if that's still the case, it gets mentioned here sometimes, so maybe search here about it, get a fresher perspective, I used to use it... - Source: Hacker News / almost 2 years ago
  • IrfanView
    Still in https://ninite.com/ selection view. - Source: Hacker News / over 2 years ago
  • Default" FileZilla download bundled with adware
    This is why it's a good idea to use ninite if you're getting windows exes. Among other things, they make sure to avoid any adware. https://ninite.com/. - Source: Hacker News / over 2 years ago
View more

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

What are some alternatives?

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

Chocolatey - The sane way to manage software on Windows.

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.

FileZilla - FileZilla is an FTP, or file transfer protocol, client. It lets individuals transfer single files or batches to a web server. For many years, FTP was the standard for website design. Read more about FileZilla.

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

Patch My PC - Patch My PC Updater is a free, easy-to-use program that keeps over 300 apps up-to-date on your computer.

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.

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