Software Alternatives, Accelerators & Startups

Plotly VS ScreenSteps

Compare Plotly VS ScreenSteps and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

ScreenSteps logo ScreenSteps

IT Training Docs For Your Cloud Implementation. Use ScreenSteps when your company implements new cloud technology and you need training docs
  • Plotly Landing page
    Landing page //
    2023-07-31
  • ScreenSteps Landing page
    Landing page //
    2023-08-05

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.

ScreenSteps features and specs

  • Ease of Use
    ScreenSteps provides a user-friendly interface that makes it simple to create and manage documentation. Its drag-and-drop functionality and WYSIWYG editor allow users to create visually appealing documents without extensive technical know-how.
  • Integration Capabilities
    The platform integrates seamlessly with a variety of other tools such as Zendesk, Salesforce, and other CRM and customer support platforms. This makes it easier to embed guides and knowledge articles directly into existing workflows.
  • Collaborative Authoring
    ScreenSteps supports collaboration by allowing multiple team members to work on the same document simultaneously. This feature is crucial for teams that need to create and update content quickly and efficiently.
  • Multi-Channel Publishing
    The tool supports multiple formats for publishing, making it easy to deploy guides, manuals, and knowledge articles across different channels like web, PDF, and mobile. This flexibility ensures that content is accessible to a broader audience.
  • Built-In Templates
    ScreenSteps offers a variety of built-in templates that help standardize documentation, ensuring consistency in style and format across all documents.

Possible disadvantages of ScreenSteps

  • Cost
    ScreenSteps can be relatively expensive compared to other documentation tools. This might be a limiting factor for small businesses or startups with tight budgets.
  • Limited Customization
    While the built-in templates are a strength, they can also be a limitation for those who require highly customized documentation. Advanced customization options can be somewhat restricted.
  • Learning Curve
    Although the interface is user-friendly, there is still a learning curve for new users, especially those who are not familiar with documentation tools. Adequate training may be required to leverage all features effectively.
  • Dependency on Internet
    ScreenSteps is primarily a cloud-based tool, which means a stable internet connection is necessary to use its full suite of features. Offline capabilities are limited.
  • Feature Overload
    For users who only need basic documentation tools, ScreenSteps might feel overwhelming due to its array of advanced features. This can make the software more complex than necessary for simpler needs.

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.

Analysis of ScreenSteps

Overall verdict

  • ScreenSteps is generally well-regarded for its ease of use and functionality in creating and distributing instruction-oriented documentation. It is considered a good solution for teams that need to standardize their processes and enhance knowledge sharing.

Why this product is good

  • ScreenSteps is a valuable tool for creating and managing documentation, particularly in environments that require detailed SOPs (Standard Operating Procedures). It offers features such as a simple authoring interface, step-by-step guides, advanced search capabilities, integrations with other platforms, and the ability to embed multimedia elements in your documentation. These features make it effective for onboarding, training, and providing easily accessible reference materials.

Recommended for

  • Organizations with a focus on training and onboarding
  • Teams required to maintain comprehensive process documentation
  • Help desks and customer support teams seeking efficient knowledge bases
  • Businesses that need to ensure consistency in task execution through easy-to-follow SOPs

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

ScreenSteps videos

ScreenSteps Overview

More videos:

  • Review - Introduction to ScreenSteps
  • Review - Screensteps (Review/Deutsch)

Category Popularity

0-100% (relative to Plotly and ScreenSteps)
Data Visualization
100 100%
0% 0
Project Management
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Affiliate Marketing
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 ScreenSteps

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 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.

ScreenSteps Reviews

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

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. 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 / 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

ScreenSteps mentions (0)

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

What are some alternatives?

When comparing Plotly and ScreenSteps, 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.

Dozuki - Dozuki is a web-based tool for creating and distributing step-by-step documentation.

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

Bloomfire - Let Bloomfire help you get organized! Organize your content, build your company knowledge base and help your employees to be more successful.

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.

Poka.io - Communication and training solutions for manufacturers.