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JSPM VS Plotly

Compare JSPM VS Plotly and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

JSPM logo JSPM

Front End Package Manager, Frontend Development, and Javascript

Plotly logo Plotly

Low-Code Data Apps
  • JSPM Landing page
    Landing page //
    2023-04-07
  • Plotly Landing page
    Landing page //
    2023-07-31

JSPM features and specs

  • Modern JavaScript Support
    JSPM provides support for ES modules and modern JavaScript features, allowing developers to use the latest standards in their projects.
  • Dependency Management
    JSPM offers efficient dependency management by automatically resolving and managing package versions, which reduces conflicts and simplifies updates.
  • CDN Integration
    JSPM integrates with CDN services to enable direct module imports from URLs, reducing setup complexity and enhancing performance by leveraging distributed content delivery networks.
  • Ecosystem Compatibility
    JSPM is compatible with npm packages, allowing developers to access a wide range of libraries and tools available in the npm ecosystem.
  • Pluggable Build System
    JSPM includes a pluggable build system that can be customized and extended to suit different workflow requirements and optimizations.

Possible disadvantages of JSPM

  • Learning Curve
    For developers new to JSPM, there might be a steeper learning curve due to its unique features and configurations compared to more traditional package managers.
  • Limited Community Support
    JSPM may have a smaller community compared to established tools like Webpack or Parcel, potentially leading to fewer resources or community-driven plugins.
  • Complexity for Small Projects
    For small or simple projects, JSPM might introduce unnecessary complexity compared to lighter alternatives, which could be more straightforward for basic use cases.
  • Performance Overhead
    Depending on the project setup and usage, there might be some performance overhead during the initial setup or builds, particularly for very large projects.
  • Dependency on External Services
    Relying heavily on external CDNs and services can lead to potential issues if those services experience downtime or changes in policy.

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.

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.

JSPM videos

+ Add

JSPM Engineering College Pune Honest Review | Cut-OFF | Placement | Fees | Campus | Student Reviews

More videos:

  • Review - JSPM PUNE | COLLEGE FEE| HOSTEL FEE | PLACEMENT | RANKING | CUT OFF | CAMPUS | JSPM COLLEGE REVIEW
  • Review - JSPM BSIOTR FE Computer students review

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 JSPM and Plotly)

JSPM

Plotly

JS Build Tools
100 100%
JS Build Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Web Application Bundler
100 100%
Web Application Bundler
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using JSPM and Plotly. For example, how are they different and which one is better?
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Reviews

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

JSPM Reviews

We have no reviews of JSPM 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 thatโ€™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 a lot more popular than JSPM. While we know about 34 links to Plotly, we've tracked only 2 mentions of JSPM. 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.

JSPM mentions (2)

  • Big Changes Ahead for Deno
    > We've been working on some updates that will allow Deno to easily import npm packages and make the vast majority of npm packages work in Deno within the next three months. This is really huge and will be a huge boost to the Deno ecosystem. On the other hand, I quite enjoyed that it wasn't jacked into NPM. There were reasonable alternatives like https://jspm.org/. This is a big swing at Node and I'll be watching... - Source: Hacker News / almost 4 years ago
  • 5 More Things I Learned Building Snowpack to 20,000 Stars
    But I really want to make it clear that I'm so incredibly proud of this project and the people who have contributed to it. Snowpack meaningfully pushed the entire web development industry forward, and that's pretty cool. Even if you never use Snowpack directly, the work that we pioneered around npm package handling for ESM is already being built on and improved on across the entire web tooling landscape in... - Source: dev.to / almost 5 years ago

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 / 4 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!๐Ÿค“
    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 / over 1 year 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

What are some alternatives?

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

Ender - Frontend Development

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.

npm - npm is a package manager for Node.

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

Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.

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.

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