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Asklayer VS Plotly

Compare Asklayer VS Plotly and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Asklayer logo Asklayer

Get real answers from your customers with Asklayers surveys, quizzes, polls and more. Works on any website with zero code and includes enterprise level features such auto-segmentation, user tagging, branching, NPS & CSAT calculation.

Plotly logo Plotly

Low-Code Data Apps
  • Asklayer Get more answers and better data
    Get more answers and better data //
    2024-03-21
  • Asklayer Easy to get started with many built in strategies such as post-purchase feedback and NPS surveys
    Easy to get started with many built in strategies such as post-purchase feedback and NPS surveys //
    2024-03-21
  • Asklayer Segment users easily based on their answers
    Segment users easily based on their answers //
    2024-03-21
  • Asklayer Easy drag and drop builder with skip logic
    Easy drag and drop builder with skip logic //
    2024-03-21
  • Asklayer Pro reporting available for every survey
    Pro reporting available for every survey //
    2024-03-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Asklayer features and specs

  • User-Friendly Interface
    AskLayer provides a clean and intuitive interface that is easy to navigate, making it accessible for users with varying levels of technical expertise.
  • Comprehensive Feature Set
    The platform offers a wide range of features, including note-taking, task management, and collaborative tools, which enhance productivity and organization.
  • Integration Capabilities
    AskLayer can integrate with several other tools and platforms, enabling seamless workflow and data synchronization between different applications.
  • Real-Time Collaboration
    AskLayer allows multiple users to collaborate on the same projects in real time, facilitating teamwork and efficient project management.
  • Data Security
    The platform prioritizes data security with strong encryption and privacy measures to protect user data from unauthorized access.

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.

Asklayer videos

No Asklayer videos yet. You could help us improve this page by suggesting one.

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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 Asklayer and Plotly)

Asklayer

Plotly

Forms And Surveys
100 100%
Forms And Surveys
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Customer Feedback
100 100%
Customer Feedback
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

Questions & Answers

As answered by people managing Asklayer and Plotly.

What's the story behind your product?

Asklayer's answer

Asklayer is built by a team of experts from Japan and was created out of frustration with low response rates associated with traditional surveys. We found that most users hate surveys, however they are willing to answer a few questions.

So we created Asklayer, a micro-survey tool that presents itself as simple questions to the user to reduce friction and increase response rates. Unlike traditional surveys we collect data after every question so even if the user abandons part way, you still get answers and a measure of the drop-off point.

The results of all these efforts is a much better user experience, a greatly increased response rate and a much greater total volume of data collected.

Who are some of the biggest customers of your product?

Asklayer's answer

  • Walmart
  • Dyson
  • NZXT
  • Bloom
  • Japan national airline
  • City of Kanagawa

User comments

Share your experience with using Asklayer 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 Asklayer and Plotly

Asklayer Reviews

  1. ShopifyPros
    Using this on 3x of my clients sites

    It's flexible and does most things well. Support is amazing, they even added a feature for me!

    Pros:    Branching and skip logic|Lightweight|Great customer support|Detailed reports|Bulk export
    Cons:    None
  2. melbourneGuy
    Fantastic UX, best response rate out of tested tools.

    Got a really high response rate. I used this in tandem with Promolayer on my EC site for CRO. I did a 'whats missing from this product description' type survey + post purchase + product follow-up email and frankly, it's been amazing. I spent about 2 years trying to figure out my direction via analytics and heatmapping when I should have just been talking to my users the whole time.

    Pros:    Easy user interface|Great user experience|Highly customizable|Great customer support|Generates good responses|Just great!!!|Detailed reports|Reasonable pricing|Easy integration|Clear and intuitive dashboard
    Cons:    None so far
  3. hridoy78

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, 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.

Asklayer mentions (0)

We have not tracked any mentions of Asklayer yet. Tracking of Asklayer recommendations started around Mar 2024.

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
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What are some alternatives?

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

SurveySparrow - Turning surveys into conversations

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.

Survey Monkey - Create and publish online surveys in minutes, and view results graphically and in real time. SurveyMonkey provides free online questionnaire and survey software.

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

Ask User - User surveys without stress

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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