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Plotly VS JSPM

Compare Plotly VS JSPM and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Plotly logo Plotly

Low-Code Data Apps

JSPM logo JSPM

Front End Package Manager, Frontend Development, and Javascript
  • Plotly Landing page
    Landing page //
    2023-07-31
  • JSPM Landing page
    Landing page //
    2023-04-07

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

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

Category Popularity

0-100% (relative to Plotly and JSPM)

Plotly

JSPM

Data Visualization
100 100%
Data Visualization
0% 0
JS Build Tools
0 0%
JS Build Tools
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Web Application Bundler
0 0%
Web Application Bundler
100% 100

User comments

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

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

JSPM Reviews

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

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than JSPM. While we know about 29 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.

Plotly mentions (29)

  • 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: 6 months ago
  • Junior Developer asked to make Saaas in first month.
    If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
  • Wait, but I thought they were the same thing?
    I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
  • Storing your data in a Plotly Dash data dashboard
    Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / almost 2 years ago
View more

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 2 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 3 years ago

What are some alternatives?

When comparing Plotly and JSPM, 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.

RequireJS - RequireJS is a JavaScript file and module loader.

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

npm - npm is a package manager for Node.

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

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.

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