Software Alternatives, Accelerators & Startups

Plotly VS InfoCaptor Dashboard

Compare Plotly VS InfoCaptor Dashboard and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

InfoCaptor Dashboard logo InfoCaptor Dashboard

Disruptive Dashboard with Real Bells and Whistles
  • Plotly Landing page
    Landing page //
    2023-07-31
  • InfoCaptor Dashboard Landing page
    Landing page //
    2021-09-17

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.

InfoCaptor Dashboard features and specs

  • User-Friendly Interface
    InfoCaptor Dashboard offers a straightforward and intuitive user interface that makes it easy for users to create and configure dashboards without needing advanced technical skills.
  • Wide Range of Visualizations
    The platform provides a variety of visualization options, including charts, graphs, and maps, allowing users to present data in multiple formats and gain comprehensive insights.
  • Integrations
    InfoCaptor integrates with various data sources, enabling users to easily import and synchronize data from different databases and applications.
  • Affordability
    InfoCaptor is often considered a cost-effective solution, especially for small to medium-sized businesses looking for comprehensive BI tools at lower price points.
  • Customizable Dashboards
    Users have the flexibility to customize their dashboards to meet specific business needs, helping tailor data presentation to different audiences.

Possible disadvantages of InfoCaptor Dashboard

  • Learning Curve
    Despite its user-friendly design, some users may face a learning curve, especially those unfamiliar with BI tools, as they explore its full range of features and capabilities.
  • Limited Advanced Features
    Compared to high-end BI solutions, InfoCaptor might lack some advanced analytics and data processing features that larger enterprises require.
  • Performance Issues
    Some users have reported performance slowdowns, particularly when handling very large datasets or complex queries.
  • Data Security Concerns
    As with any web-based application, there may be concerns about data security, especially for businesses handling sensitive information.
  • Customer Support
    While InfoCaptor offers support, some users have experienced delays or insufficient help in addressing technical issues.

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

InfoCaptor Dashboard videos

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

Add video

Category Popularity

0-100% (relative to Plotly and InfoCaptor Dashboard)
Data Visualization
97 97%
3% 3
Data Dashboard
95 95%
5% 5
Charting Libraries
100 100%
0% 0
Business Intelligence
0 0%
100% 100

User comments

Share your experience with using Plotly and InfoCaptor Dashboard. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and InfoCaptor Dashboard

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.

InfoCaptor Dashboard Reviews

We have no reviews of InfoCaptor Dashboard yet.
Be the first one to post

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

InfoCaptor Dashboard mentions (0)

We have not tracked any mentions of InfoCaptor Dashboard yet. Tracking of InfoCaptor Dashboard recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and InfoCaptor Dashboard, 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.

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

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

Pentaho - Pentaho is a Business Intelligence software company that offers Pentaho Business Analytics, a suite...

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

Halo - Halo is a supply chain analytics and business intelligence software solution.