Software Alternatives, Accelerators & Startups

Plotly VS Invantive Control for Excel

Compare Plotly VS Invantive Control for Excel and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Invantive Control for Excel logo Invantive Control for Excel

Invantive Control enables you to make decisions with Microsoft Excel and yet remain fully compliant...
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Invantive Control for Excel Landing page
    Landing page //
    2023-07-29

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.

Invantive Control for Excel features and specs

  • Integration with Databases
    Invantive Control for Excel offers seamless integration with a wide range of databases, allowing users to access and manipulate data directly within Excel. This eliminates the need for manual data entry and reduces errors associated with data import/export.
  • Real-time Data Access
    The software provides real-time data access and updates, ensuring that users are working with the most current data available. This feature enhances decision-making by providing accurate and up-to-date information.
  • Advanced Planning Capabilities
    Invantive Control is designed with advanced planning and forecasting tools. It supports complex calculations and scenarios, helping businesses perform detailed financial planning and analysis.
  • User-Friendly Interface
    The tool integrates with Excel, offering a familiar user interface for those already accustomed to Excel's environment. This reduces the learning curve and enhances user adoption.
  • Customizable Reports
    Users can create highly customizable reports to meet specific business needs. This flexibility ensures that reports are tailored to the audience and provide relevant insights.

Possible disadvantages of Invantive Control for Excel

  • Complex Setup
    Setting up Invantive Control for Excel can be complex, especially for users who are not familiar with database management and integration processes. This might require additional training or support.
  • Cost
    As a specialized software, it may involve higher costs compared to basic Excel tools, which can be a disadvantage for smaller businesses or those with limited budgets.
  • Performance Issues
    Depending on the size of the data and complexity of operations, users might experience performance sluggishness or delays during data processing within Excel.
  • Dependency on Excel
    Since it is an Excel add-on, its usage is dependent on having a Microsoft Excel license. This means businesses must ensure compatibility and have existing licenses to use the tool.
  • Limited Platform Support
    Invantive Control is primarily designed for Windows operating systems, potentially limiting its use for organizations using other platforms like macOS or Linux.

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

Invantive Control for Excel videos

No Invantive Control for Excel videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Invantive Control for Excel)
Data Visualization
100 100%
0% 0
Data Dashboard
87 87%
13% 13
Technical Computing
0 0%
100% 100
Charting Libraries
93 93%
7% 7

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 Invantive Control for Excel

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.

Invantive Control for Excel Reviews

We have no reviews of Invantive Control for Excel yet.
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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 1 month 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 / 3 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 / 5 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

Invantive Control for Excel mentions (0)

We have not tracked any mentions of Invantive Control for Excel yet. Tracking of Invantive Control for Excel recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and Invantive Control for Excel, 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.

Kutools for Excel - A handy Microsoft Excel add-ins collection to free you from time-consuming operations.

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

Devart Excel Add-ins - Devart Excel Add-ins allow you to connect Microsoft Excel to live database and cloud data and work with them as with usual Excel spreadsheets.

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

ASAP Utilities - ASAP Utilities is a powerful Excel add-in that fills the gaps in Excel.