Software Alternatives, Accelerators & Startups
Register | Login

SciDaVis VS Plotly

Compare SciDaVis VS Plotly 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
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

SciDaVis logo SciDaVis

SciDAVis is a free application for Scientific Data Analysis and Visualization.

Plotly logo Plotly

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

SciDaVis features and specs

  • Open Source
    SciDaVis is open-source software, meaning it is free to use, modify, and distribute. This makes it accessible to a wide range of users, including those in academic and educational settings with limited budgets.
  • User-Friendly Interface
    SciDaVis is designed to have a user-friendly and intuitive interface, which makes it easier for users, especially those who are not very tech-savvy, to navigate and utilize its features effectively.
  • Cross-Platform Compatibility
    SciDaVis is compatible with multiple operating systems, including Windows, MacOS, and Linux, providing flexibility and convenience for users working in diverse environments.
  • Customizable and Extensible
    The software allows for extensive customization and can be extended through scripting (using Python or other languages). This makes it adaptable to a wide range of specific user requirements.
  • Scientific and Engineering Applications
    SciDaVis is tailored for scientific and engineering applications, offering features like data analysis, plotting, and visualization that are especially useful in these fields.

Possible disadvantages of SciDaVis

  • Limited Documentation
    Although there is some documentation available, it is often cited as being incomplete or not detailed enough. This can make it difficult for new users to fully comprehend and utilize all the features.
  • Smaller User Community
    Compared to more popular scientific software, SciDaVis has a smaller user community. This can result in fewer available resources such as tutorials, forums, and user-contributed scripts or plugins.
  • Performance Issues
    Some users have reported performance issues, such as lag or crashes, especially when handling large datasets. This can be a significant drawback for intensive computational tasks.
  • Fewer Features Compared to Commercial Software
    While SciDaVis offers a good range of features for scientific analysis, it may lack some advanced features and functionalities available in commercial software solutions.
  • Inconsistent Updates
    Updates and new releases for SciDaVis can be inconsistent, which may result in slower implementation of bug fixes and new features.

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.

SciDaVis videos

+ Add

Plotting data in SciDAVis

More videos:

  • Review - Plotting data using SciDAVis (open source software)
  • Review - SciDAVis

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 SciDaVis and Plotly)

SciDaVis

Plotly

Technical Computing
100 100%
Technical Computing
0% 0
Data Visualization
11 11%
Data Visualization
89% 89
Numerical Computation
100 100%
Numerical Computation
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using SciDaVis and Plotly. 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 SciDaVis and Plotly

SciDaVis Reviews

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

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

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.

SciDaVis mentions (0)

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

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

What are some alternatives?

When comparing SciDaVis and Plotly, you can also consider the following products

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

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.

LabPlot - LabPlot is a KDE-application for interactive graphing and analysis of scientific data.

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

Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

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

Loading...