Software Alternatives, Accelerators & Startups

Conversational Form VS Plotly

Compare Conversational Form VS Plotly 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.

Conversational Form logo Conversational Form

Turning web forms into conversations. By SPACE10

Plotly logo Plotly

Low-Code Data Apps
  • Conversational Form Landing page
    Landing page //
    2023-03-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Conversational Form features and specs

  • User Engagement
    Conversational Form can create a more engaging and interactive experience for users, making them more likely to complete the form.
  • Simplified Interface
    The conversational interface breaks down forms into manageable pieces, simplifying the input process and reducing user cognitive load.
  • Human-like Interaction
    It mimics human conversation, which can be more intuitive and friendly, thus potentially increasing the completion rate.
  • Customizability
    The library allows customization and extensibility to better fit the unique needs of different projects or user needs.
  • Accessibility
    Properly implemented, a conversational form can be more accessible to users with various disabilities, especially when paired with screen readers and other assistive technologies.

Possible disadvantages of Conversational Form

  • Complexity of Implementation
    Setting up and customizing a conversational form may require more time and development effort compared to traditional forms.
  • Performance Concerns
    More complex interactions may result in slower response times, impacting user experience, particularly if the implementation is not optimized.
  • User Preference
    Not all users may prefer a conversational interface; some might find it cumbersome compared to traditional forms, especially for longer forms.
  • Limited Input Types
    Conversational forms may struggle with more complex input types or large datasets, where traditional forms can be more effective.
  • Dependency on JavaScript
    Since it relies heavily on JavaScript, users who disable JavaScript or use browsers with limited JavaScript support may not be able to interact with the form properly.

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 Conversational Form

Overall verdict

  • Conversational Form is generally considered a good tool, especially for projects that aim to enhance user interaction and engagement by leveraging conversational interfaces. Its ease of integration and customization makes it a valuable resource for developers seeking to create innovative user experiences.

Why this product is good

  • Conversational Form is considered beneficial due to its ability to transform traditional web forms into interactive, chat-based interfaces. This interaction format tends to be more engaging for users, potentially increasing completion rates and user satisfaction. The framework is open-source and highly customizable, allowing developers to tailor the experience to their specific needs while also providing accessibility support. Additionally, it integrates well with various web technologies, making it versatile for different project requirements.

Recommended for

    Conversational Form is highly recommended for UX/UI designers, web developers, and businesses looking to improve their form completion rates through a more interactive and enjoyable user experience. It's also suitable for projects focused on accessibility and those wanting to experiment with chatbot-like interfaces on their websites.

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.

Conversational Form videos

How to Create Conversational Forms in WordPress (Typeform Alternative)

More videos:

  • Tutorial - WPForms Conversational Forms - WordPress Tutorial
  • Review - Conversational Forms by WPForms

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

Category Popularity

0-100% (relative to Conversational Form and Plotly)
Form Builder
100 100%
0% 0
Data Visualization
0 0%
100% 100
Surveys
100 100%
0% 0
Data Dashboard
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 Conversational Form and Plotly

Conversational Form Reviews

27 Best Typeform Alternatives In 2022 (Free & Paid)
If you are looking for a free form builder, you can use Google Forms or Conversational Form. You also have the option to use the freemium plan of all the Typeform alternatives that offer it.

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.

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 33 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.

Conversational Form mentions (0)

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

Plotly mentions (33)

  • 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 / 3 months 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 / 5 months 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 / 7 months 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 1 year ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

Typeform - Create beautiful, next-generation online forms with Typeform, the form & survey builder that makes asking questions easy & human on any device. Try it FREE!

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.

Jotform - Free Online Form Builder & Form Creator

Chart.js - Easy, object oriented client side graphs for designers and developers.

chatform.ai - Turn your web forms into conversations on any messaging app

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