Software Alternatives & Startups
Register | Login

authentik VS Plotly

Compare authentik VS Plotly and see what are their differences

Electe
Illuminate the future with AI sponsored
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

authentik logo authentik

authentik is an open-source identity provider focused on flexibility and versatility.

Plotly logo Plotly

Low-Code Data Apps
  • authentik Landing page
    Landing page //
    2023-09-11
  • Plotly Landing page
    Landing page //
    2023-07-31

authentik features and specs

  • Open Source
    Authentik is an open-source identity provider, which means you can access and modify the source code to suit your needs without licensing fees.
  • Flexible Authentication Methods
    Authentik supports a variety of authentication methods, including traditional username/password, OAuth, SAML, and LDAP, allowing integration with diverse systems.
  • User Interface and Experience
    Provides an intuitive and user-friendly interface for administrators to manage user identities and configure authentication workflows.
  • Docker Deployment
    Easily deployable via Docker, which simplifies the installation and scaling processes, making it adaptable to different environments.
  • Community Support
    Being open-source, authentik benefits from community contributions which can lead to faster improvements and support through forums and community channels.

Possible disadvantages of authentik

  • Complex Configuration
    The flexibility of authentik can lead to complex configurations that might be challenging for users without prior experience in identity management systems.
  • Limited Documentation
    The official documentation may not be as comprehensive as commercial offerings, potentially making the implementation process slower for new users.
  • Scalability Concerns
    While suitable for many use cases, authentik might face challenges when scaling to extremely large, enterprise-level implementations without tailored optimizations.
  • Support Reliance on Community
    As an open-source project, the level of direct support is typically limited unless supplemented by a third-party service provider.
  • Relative Maturity
    Compared to some established competitors, authentik might lack some advanced features present in mature, commercial identity management solutions.

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 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.

authentik videos

+ Add

New ZOEVA Authentik Skin Natural Luminous Foundation...First Impressions Review + 10 HR Wear Test

More videos:

  • Tutorial - Authentik: How to Install with Docker and Why You Should
  • Review - Authentik Music Video Review Show

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 authentik and Plotly)

authentik

Plotly

Identity And Access Management
100 100%
Identity And Access Management
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Identity Provider
100 100%
Identity Provider
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using authentik and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

authentik Reviews

We have no reviews of authentik 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 that’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, authentik should be more popular than Plotly. It has been mentiond 52 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.

authentik mentions (52)

  • AI slop security engineering: Okta's NextJS-0auth troubles
    Https://goauthentik.io/#comparison They have an enterprise version now (mostly for support and bleeding edge features that later make it into the open source product.) It's pretty easy to self host. I have been doing it for a small site for years and I couldn't even get any other open source solution to work. They are mostly huge with less features. - Source: Hacker News / 10 months ago
  • We replaced passwords with something worse
    I recently set up passkey-only sign ins for a webapp I'm writing using Authentik [0](Python OIDC provider, with quite a nice docker-compose run-up, took only minutes to stand up.) It was surprisingly easy to configure everything so that passkeys are the only thing ever used. If anyone would be interested I could write it up? I was surprised what a nice user flow it is and how easy it was to achieve. [0]... - Source: Hacker News / about 1 year ago
  • Frequent reauth doesn't make you more secure
    I set up Authentik[^1] on my NAS in a docker container and went from there! Just had to add a .well-known webfinger file to my domain that pointed to the Authentik instance and it "just worked" with Tailscale. [^1]: https://goauthentik.io/. - Source: Hacker News / about 1 year ago
  • Ask HN: Who is hiring? (June 2025)
    Authentik Security | Senior Engineer | US | REMOTE (anywhere) | Full-time Authentik Security (https://goauthentik.io) is the company behind authentik (https://github.com/goauthentik/authentik. - Source: Hacker News / over 1 year ago
  • Windows 2000 Server named peak Microsoft. Readers say all downhill since Clippy
    > Honest to god, if an IdP like Okta made an Active Directory replacement that ran via container https://goauthentik.io/ can run in docker. It can be paired in with openldap containers, too. - Source: Hacker News / over 1 year 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 / 6 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!🤓
    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 / almost 2 years 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 authentik and Plotly, you can also consider the following products

Keycloak - Open Source Identity and Access Management for modern Applications and Services.

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.

ZITADEL - The Identity Infrastructure for Modern B2B SaaS

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

Auth0 - Auth0 is a program for people to get authentication and authorization services for their own business use.

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.

Loading...