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Survicate VS Plotly

Compare Survicate 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

Survicate logo Survicate

Collect feedback on your website and find out more about your visitors.

Plotly logo Plotly

Low-Code Data Apps
  • Survicate Landing page
    Landing page //
    2023-10-07
  • Plotly Landing page
    Landing page //
    2023-07-31

Survicate features and specs

  • User-Friendly Interface
    Survicate offers a straightforward and easy-to-use interface, making it accessible for users with varying levels of technical expertise.
  • Integration Capabilities
    The platform integrates well with a variety of other tools like CRM systems, email marketing software, and more, ensuring seamless data flow and consistent user experiences.
  • Variety of Question Types
    Survicate allows the creation of surveys with multiple question types such as NPS, single-choice, multiple-choice, text answer, and more, providing flexibility in data collection.
  • Real-Time Analytics
    Users can access real-time analytics and reporting, enabling immediate insights and quick decision-making based on current data.
  • Customizable Surveys
    The platform offers extensive customization options, allowing businesses to tailor surveys to their branding and specific needs.
  • Multi-Channel Distribution
    Survicate supports survey distribution via various channels including email, web, mobile, and chat, ensuring higher response rates and broader reach.

Possible disadvantages of Survicate

  • Limited Free Plan
    The free plan has limited features and functionality, which may not be sufficient for businesses looking for more robust survey tools.
  • Learning Curve
    While the interface is generally user-friendly, some advanced features may have a learning curve, requiring additional time for staff to become proficient.
  • Cost
    For small businesses or startups, the pricing for more advanced plans can be relatively high, which may be a deterrent for some potential users.
  • Limited Offline Capabilities
    Survicate currently offers limited functionality for conducting surveys offline, which can be a drawback for businesses needing data collection in areas with poor internet connectivity.
  • Response Limitations
    Some lower-tier plans come with limitations on the number of responses or active surveys, which can hinder extensive data collection efforts.

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.

Survicate videos

+ Add

What types of surveys can be sent with Survicate? [Video tutorial]

More videos:

  • Tutorial - How to create a survey with Survicate? [Video tutorial]

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 Survicate and Plotly)

Survicate

Plotly

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

User comments

Share your experience with using Survicate 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 Survicate and Plotly

Survicate Reviews

9 Survey Monkey Alternatives for Your 2024 Market Research
Survicate can help you set up surveys and feedback mechanisms that target specific groups within your audience.
Source: www.fullsession.io
12 Hotjar alternatives for website and mobile app analytics
In terms of differences, Survicate is clearly more advanced as it has website, in-product, and mobile app surveys, with all sorts of useful integrations. Survicate also has a Feedback hub for monitoring user feedback from different sources (Intercom, Slack, App Store, Google Play, etc.) in one place.
Source: www.smartlook.com
Typeform Alternatives: Tools for Surveys, Forms, and Quizzes
Using Survicate is the fastest way to get continuous customer insights. Automate surveys like NPS and CSAT and use the recurring feature. That way, you donโ€™t have to keep asking customers to fill out surveys or do interviews to get their thoughts and ideas.
Source: survicate.com
12 Best SurveySparrow Alternatives With Pricing and Features
Survicate is an excellent feedback survey tool and a great alternative to SurveySparrow. You can gather new leads, research and marketing data, and so on across the user journey.
Source: qualaroo.com
30 Best Customer Feedback Survey Tools: An Overview | Mopinion
Survicate is a great customer feedback tool that enables its users to trigger targeted surveys at different locations on their website or send out questionnaires via email to different customers. They also offer chat surveys. There is also a library of predefined surveys that users can choose from. In terms of analysis, this customer feedback tool has dashboarding...
Source: mopinion.com

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 seems to be a lot more popular than Survicate. While we know about 34 links to Plotly, we've tracked only 1 mention of Survicate. 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.

Survicate mentions (1)

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
View more

What are some alternatives?

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

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.

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.

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!

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

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

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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