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Plotly VS Aha! Visual Chart Tool

Compare Plotly VS Aha! Visual Chart Tool and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Aha! Visual Chart Tool logo Aha! Visual Chart Tool

Create beautiful product roadmap visualizations
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Aha! Visual Chart Tool Landing page
    Landing page //
    2022-10-08

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.

Aha! Visual Chart Tool features and specs

  • User-Friendly Interface
    The Aha! Visual Chart Tool provides an intuitive and easy-to-navigate interface that enables users to create and manage visual charts with minimal effort.
  • Customization Options
    Users can customize charts extensively to fit their specific needs, offering various styles and formats to choose from, making it flexible for different presentation requirements.
  • Integration Capabilities
    The tool integrates well with other products within the Aha! suite and external tools, providing seamless data import and export, which enhances productivity and data accuracy.
  • Real-time Collaboration
    Aha! allows multiple users to collaborate on visual charts in real-time, making it easier for teams to work together efficiently.
  • Detailed Reporting
    It offers advanced reporting features that help users to generate detailed and actionable insights to make informed decisions.

Possible disadvantages of Aha! Visual Chart Tool

  • High Subscription Cost
    The price point for the Aha! suite, including the Visual Chart Tool, can be high for smaller teams or startups with limited budgets.
  • Steep Learning Curve
    Despite its user-friendly interface, some users may find the learning curve steep initially, mainly if they are unfamiliar with similar tools or methodologies.
  • Limited Offline Access
    The tool requires an internet connection for most of its functionalities, limiting its usability for users needing offline access.
  • Complexity for Basic Needs
    For users with basic charting needs, the comprehensive features and tools provided might seem overwhelming and unnecessarily complex.
  • Performance Issues
    Some users report that the tool can experience lag or performance issues during high-intensity data processing or when dealing with large datasets.

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

Aha! Visual Chart Tool videos

No Aha! Visual Chart Tool videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Aha! Visual Chart Tool)

Plotly

Aha! Visual Chart Tool

Data Visualization
100 100%
Data Visualization
0% 0
Data Dashboard
94 94%
Data Dashboard
6% 6
Charting Libraries
96 96%
Charting Libraries
4% 4
Developer Tools
0 0%
Developer Tools
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 Aha! Visual Chart Tool

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

Aha! Visual Chart Tool Reviews

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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.

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 / about 2 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 / 4 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 / 6 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 / 11 months 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

Aha! Visual Chart Tool mentions (0)

We have not tracked any mentions of Aha! Visual Chart Tool yet. Tracking of Aha! Visual Chart Tool recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and Aha! Visual Chart Tool, 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.

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

Charts Factory - Create simple charts super fast and for free!

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

ApexCharts - Open-source modern charting library 📊

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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