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Authenticator VS Plotly

Compare Authenticator 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

Authenticator logo Authenticator

Authenticator is a simple, free, and open source two-factor authentication app.

Plotly logo Plotly

Low-Code Data Apps
  • Authenticator Landing page
    Landing page //
    2021-09-24
  • Plotly Landing page
    Landing page //
    2023-07-31

Authenticator features and specs

  • Open Source
    Authenticator is open-source, which means the source code is available for review and contributions by the community. This increases transparency and security, as bugs and vulnerabilities can be identified and addressed more quickly.
  • Privacy-Focused
    The app doesn't require users to create an account, and it doesn't store any data in the cloud. This significantly reduces the risk of data breaches and ensures user data remains private.
  • Simple User Interface
    The app provides a clean and intuitive interface, making it easy for users to manage their two-factor authentication (2FA) codes without confusion.
  • Local Storage
    Authenticator stores codes locally on the device, which enhances security by eliminating the need to transmit sensitive information over the internet.
  • Cross-Platform Support
    The app is available on both iOS and Android, providing flexibility for users who switch between different mobile operating systems.

Possible disadvantages of Authenticator

  • No Cloud Backup
    Since the app stores data locally and doesnโ€™t support cloud backup, users may lose their codes if they lose access to their device or accidentally delete the app.
  • Manual Setup
    Users need to manually add their accounts, which might be less convenient compared to some other 2FA apps that offer QR code scanning and automatic account import features.
  • Limited Features
    Authenticator focuses on core 2FA functionality and lacks some advanced features found in other 2FA apps, such as password management or integration with password managers.
  • No Multi-Device Sync
    The app doesnโ€™t support synchronizing 2FA codes across multiple devices, which can be inconvenient for users who rely on multiple devices for their work or personal life.

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 Authenticator

Overall verdict

  • Yes, Authenticator (mattrubin.me) is a good app for users seeking an effective, no-frills two-factor authentication solution. Its open-source nature adds an extra layer of trust for those concerned about privacy and security.

Why this product is good

  • Authenticator (mattrubin.me) is considered a good choice because it is a free, open-source app that offers a straightforward and user-friendly two-factor authentication experience. It securely stores and generates time-based one-time passwords (TOTPs) which enhance the security of various online accounts. The app's simplicity, reliability, and focus on privacy are widely appreciated.

Recommended for

    Authenticator (mattrubin.me) is recommended for individuals and professionals who need a reliable and easy-to-use solution for managing two-factor authentication codes across multiple accounts. It's ideal for users who value open-source software and prioritize security without the need for additional features commonly found in more complex applications.

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.

Authenticator videos

+ Add

Authenticator Apps

More videos:

  • Review - GOOGLE AUTHENTICATOR vs. AUTHY - (AUTHY WON)
  • Tutorial - How to Use Google Authenticator

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 Authenticator and Plotly)

Authenticator

Plotly

Identity And Access Management
100 100%
Identity And Access Management
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Password Management
100 100%
Password Management
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Authenticator and Plotly

Authenticator Reviews

We have no reviews of Authenticator yet.
Be the first one to post

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, Plotly should be more popular than Authenticator. 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.

Authenticator mentions (4)

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
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What are some alternatives?

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

Aegis Authenticator - Aegis Authenticator is a free, secure and open source app to manage your 2-step verification tokens...

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.

andOTP - andOTP is a two-factor authentication App for Android 4.4+

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

OTP Auth - The app for calculating one-time-passwords on iPhone and iPad.

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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