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DashThis VS Plotly

Compare DashThis 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

DashThis logo DashThis

DashThis provides marketers with an easy-to-use, automated & attractive reporting tool.

Plotly logo Plotly

Low-Code Data Apps
  • DashThis Landing page
    Landing page //
    2023-07-27
  • Plotly Landing page
    Landing page //
    2023-07-31

DashThis features and specs

  • User-Friendly Interface
    DashThis offers an intuitive and easy-to-navigate interface, making it accessible for users with varying levels of technical expertise.
  • Customizable Dashboards
    Users can create fully customizable dashboards tailored to specific business needs and KPI requirements.
  • Multi-Source Data Integration
    DashThis allows integration from multiple data sources including Google Analytics, Facebook Ads, and more, providing comprehensive insights in one place.
  • Automated Reporting
    The platform offers automated reporting features which save time on manual data collection and reporting tasks.
  • Affordable Pricing
    Competitive pricing plans make it a cost-effective solution for small to medium-sized businesses.
  • Customer Support
    DashThis provides robust customer support including a dedicated account manager, extensive help documentation, and responsive service.

Possible disadvantages of DashThis

  • Limited Advanced Visualization
    The platform may lack some of the more advanced data visualization options available in other more specialized BI tools.
  • Data Refresh Frequency
    Some users have noted that data refresh intervals could be more frequent to provide near real-time insights.
  • Learning Curve for Complex Customization
    While the basic features are easy to use, there can be a learning curve for creating highly customized dashboards.
  • Limited Integration with Niche Tools
    The number of pre-built integrations may be insufficient for businesses using specialized or niche tools not supported by DashThis.
  • Feature Updates
    Users have indicated that updates and new feature rollouts can be slow compared to some competitors.

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 DashThis

Overall verdict

  • Overall, DashThis is considered a reliable and efficient platform for digital marketers, agencies, and businesses looking to streamline their reporting processes. Its ability to automate data collection and presentation is appreciated by those who seek to spend less time on manual reporting tasks.

Why this product is good

  • DashThis is a reporting tool that is praised for its intuitive interface, extensive integration capabilities with data sources, and time-saving features. Users often highlight that it simplifies the process of creating automated reports for marketing campaigns by offering a wide range of customizable templates and widgets. Furthermore, its customer service is noted for being responsive and helpful in resolving user issues.

Recommended for

    DashThis is particularly recommended for marketing professionals, digital agencies, and small to medium-sized businesses that require an affordable and easy-to-implement reporting solution. It is suitable for those who need to integrate multiple data sources and appreciate visually appealing and communicative reports to share with clients or stakeholders.

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.

DashThis videos

+ Add

DashThis Demo

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 DashThis and Plotly)

DashThis

Plotly

Data Visualization
34 34%
Data Visualization
66% 66
Data Dashboard
42 42%
Data Dashboard
58% 58
Charting Libraries
0 0%
Charting Libraries
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0

User comments

Share your experience with using DashThis 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 DashThis and Plotly

DashThis Reviews

11 Metabase Alternatives
DashThis is a tool that works automatically to give its users' marketing reporting based on the input data they provide to this amazing platform. The most important thing about this is that you can feel secure about your data because it doesn't compromise on the security of their users' data so that users don't have to worry about their confidential business files and inside...
Source: www.justalternativeto.com
8 Databox Alternatives: Which One Is The Best?
DashThis is a digital marketing reporting tool specifying the needs of the platform in it. The feature that differs DashThis from competitors is you can choose your needed tools and features in it, so you do not face any extra stuff.
Source: hockeystack.com
27 dashboards you can easily display on your office screen with Airtame 2
If you are a digital agency, DashThis dashboards might be just what youโ€™re looking for. But feel free to check their demo videos here and read more about their features.
Source: airtame.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 DashThis. While we know about 34 links to Plotly, we've tracked only 1 mention of DashThis. 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.

DashThis mentions (1)

  • Recommended tools that synthesize data from Shopify/Amazon/Facebook Ads/etc.?
    Would something like dashthis make sense for you? https://dashthis.com/ more on the automated reporting side. Source: over 5 years ago

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 / 5 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 DashThis and Plotly, you can also consider the following products

AgencyAnalytics - Increase your marketing agency's efficiency with automated client reporting. Start your free 14-day trial today!

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.

Databox - Databox is modern Business Intelligence software for teams that need answers now.

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

Whatagraph - Whatagraph is the most visual multi-source marketing reporting platform. Built in collaboration with digital marketing agencies

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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