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Plotly VS smartShift

Compare Plotly VS smartShift and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

smartShift logo smartShift

Future-proof your SAP custom code. smartShift uses intelligent automation and SAP expertise to simplify ECC to S/4HANA migrations. Transform faster, reduce risks, and minimize business disruptions.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • smartShift Landing page
    Landing page //
    2025-06-30

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.

smartShift features and specs

  • Automation
    smartShift automates the process of migrating and managing enterprise-level systems, which can save a significant amount of time and reduce human error compared to manual methods.
  • Expertise
    The platform is built on decades of experience in handling complex IT transformations, which ensures a high level of expertise and reliability when dealing with critical enterprise systems.
  • Risk Reduction
    smartShift offers a proven approach to risk reduction during cloud migration and modernization, which helps to safeguard against potential data loss or operational disruptions.
  • Customization
    Their solutions can be tailored to meet specific industry needs and organizational requirements, providing flexibility and adaptability.
  • Cost Efficiency
    By optimizing and automating various processes, smartShift can help organizations save on the overall costs associated with managing and maintaining complex IT environments.

Possible disadvantages of smartShift

  • Initial Setup Cost
    The initial implementation and customization of smartShift’s solutions can be costly, which may be a deterrent for small to medium-sized enterprises with limited budgets.
  • Complexity
    Due to its sophisticated capabilities and extensive features, the platform may require skilled personnel to manage and operate effectively, which can be a barrier for some organizations.
  • Dependency
    Relying heavily on a third-party solution like smartShift for critical operations can lead to increased dependency, which might pose challenges if there are issues with the provider.
  • Learning Curve
    Organizations may face a steep learning curve in getting accustomed to smartShift’s platform, which can temporarily affect productivity during the adaptation phase.
  • Customization Limitations
    Despite offering customization options, there may be limitations to how extensively the software can be tailored to fit unique business processes, leading to potential gaps in functionality.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Analysis of smartShift

Overall verdict

  • smartShift is a specialized platform focused on automated code analysis and remediation for enterprise systems like SAP, primarily aimed at helping organizations modernize legacy code and prepare for migrations (such as S/4HANA transitions). It's a solid choice for large enterprises with significant technical debt, though it's a niche B2B tool rather than a general-purpose product, so its value depends heavily on your specific use case.

Why this product is good

  • Provides automated code remediation, reducing manual effort in large-scale system migrations
  • Specializes in SAP ecosystem transformations, offering deep domain expertise
  • Helps identify custom code impacts before major upgrades, reducing project risk
  • Can significantly cut time and cost compared to manual code review processes
  • Established track record with enterprise clients undergoing SAP S/4HANA migrations

Recommended for

  • Large enterprises running SAP systems needing S/4HANA migration support
  • IT teams managing significant custom ABAP code that needs modernization
  • Organizations planning major ERP transformation projects
  • Companies seeking to reduce technical debt in legacy enterprise systems
  • Consulting firms managing multiple client SAP migration projects

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

smartShift videos

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

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Category Popularity

0-100% (relative to Plotly and smartShift)

Plotly

smartShift

Data Visualization
100 100%
Data Visualization
0% 0
Change Intelligence
0 0%
Change Intelligence
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Code Analysis
0 0%
Code Analysis
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 smartShift

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

smartShift Reviews

We have no reviews of smartShift 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 34 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 (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • 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 / over 1 year 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 / over 1 year 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 / almost 2 years 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 / about 2 years ago
View more

smartShift mentions (0)

We have not tracked any mentions of smartShift yet. Tracking of smartShift recommendations started around Jun 2025.

What are some alternatives?

When comparing Plotly and smartShift, 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.

Panaya - See and understand the impact of every potential change to your SAP, Oracle and Salesforce systems, so you innovate intelligently and without fear.

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

Neptune Software MXDP - Neptune Software MXDP is a development utility that allows developers to develop applications for the new digital touchpoints and platform and simultaneously maintaining an extensive user experience.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

SAP HANA - SAP HANA is an in-memory, column-oriented, relational database management system.

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