Software Alternatives, Accelerators & Startups
Register | Login

Plotly VS SigmaPlot

Compare Plotly VS SigmaPlot and see what are their differences

Electe
Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future! featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Plotly logo Plotly

Low-Code Data Apps

SigmaPlot logo SigmaPlot

SigmaPlot is a scientific data analysis and graphing software package with an intuitive interface for all your statistical analysis and graphing needs that takes you beyond simple spreadsheets and helps you to produce high-quality graphs without …
  • Plotly Landing page
    Landing page //
    2023-07-31
  • SigmaPlot Landing page
    Landing page //
    2022-12-13

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.

SigmaPlot features and specs

  • Advanced Graphical Capabilities
    SigmaPlot offers a wide range of graph types and advanced plotting features, allowing for detailed and highly customized visual representation of data.
  • Data Analysis Tools
    The software includes robust data analysis tools, such as curve fitting and regression analysis, that help in extracting meaningful insights from data sets.
  • Integration with Microsoft Office
    SigmaPlot seamlessly integrates with Microsoft Office, making it easy to incorporate graphs and data into presentations and documents.
  • User-friendly Interface
    It features a user-friendly interface that is relatively easy to navigate, which can help users, especially beginners, to work efficiently.
  • Template and Customization Options
    The program offers various templates and customization options for creating consistent and professional-looking graphs.

Possible disadvantages of SigmaPlot

  • Cost
    SigmaPlot is a premium software, which could be quite expensive for individuals and small organizations with limited budgets.
  • Steep Learning Curve
    Despite being user-friendly, mastering all the advanced features and capabilities of SigmaPlot can take considerable time and effort.
  • Limited Platform Support
    Primarily available for Windows, limiting its use for individuals and organizations using other operating systems like macOS and Linux.
  • Lack of Collaboration Features
    The software does not offer built-in collaboration tools, potentially making it challenging for teams to work together efficiently on data projects.
  • Resource Intensive
    Running SigmaPlot can be resource-intensive, which might pose challenges on lower-spec devices, affecting performance and productivity.

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

SigmaPlot videos

+ Add

SigmaPlot 12 Overview Presentation with Richard Mitchell / Systat Software

More videos:

  • Review - Performing a one-way ANOVA in SigmaPlot 13
  • Demo - SigmaPlot quick demo

Category Popularity

0-100% (relative to Plotly and SigmaPlot)

Plotly

SigmaPlot

Data Visualization
100 100%
Data Visualization
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100

User comments

Share your experience with using Plotly and SigmaPlot. 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 SigmaPlot

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

SigmaPlot Reviews

We have no reviews of SigmaPlot 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 / 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

SigmaPlot mentions (0)

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

What are some alternatives?

When comparing Plotly and SigmaPlot, 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.

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

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

OriginLab - OriginLab is a data analysis tool that provide the engineers and scientist with the technical charts and system for 2D and 3D plotting and all kind of fitting including curve and peak fitting.

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

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

Loading...