Software Alternatives, Accelerators & Startups

FeathersJS VS Plotly

Compare FeathersJS VS Plotly and see what are their differences

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.

FeathersJS logo FeathersJS

Wow your users. Build incredible real-time applications in record time.

Plotly logo Plotly

Low-Code Data Apps
  • FeathersJS Landing page
    Landing page //
    2023-01-17
  • Plotly Landing page
    Landing page //
    2023-07-31

FeathersJS features and specs

  • Real-Time Functionality
    FeathersJS makes it easy to create real-time applications with WebSocket and RESTful APIs. It supports real-time data synchronization, which can be especially useful for interactive applications.
  • Flexibility
    FeathersJS is designed to work seamlessly with a variety of databases and frontend frameworks. This makes it highly flexible for different project requirements.
  • Microservice Ready
    FeathersJS supports modular architecture, which is well-suited for building microservices. Services can be easily scaled and managed independently.
  • Ease of Use
    The framework is designed to be intuitive and easy to use, even for developers who may not have extensive experience with Node.js. It includes built-in authentication and other common features.
  • Extensible
    FeathersJS has a rich ecosystem of plugins and hooks, allowing developers to extend functionality without modifying the core codebase.
  • Good Documentation
    FeathersJS provides well-written and comprehensive documentation, which makes it easier for new developers to get started and for experienced developers to find advanced features.

Possible disadvantages of FeathersJS

  • Limited Community
    Compared to more popular frameworks like Express or Koa, the FeathersJS community is smaller, which may result in fewer third-party resources and community support.
  • Learning Curve
    While FeathersJS is designed to be easy to use, its concepts and architecture can be different from other Node.js frameworks, which may require some time to learn.
  • Middleware Complexity
    FeathersJS uses a special middleware structure that might be complex for developers who are used to traditional middleware in Express.js.
  • Performance
    Although FeathersJS is generally performant, it might not be as fast as some lower-level frameworks, especially when dealing with very high volumes of traffic.
  • Dependency on JSON Schema
    FeathersJS heavily relies on JSON Schema for data validation, which can add complexity and may not be suitable for all applications.
  • Limited Middleware
    The middleware ecosystem is not as extensive as some other Node.js frameworks, which might necessitate custom middleware development for certain use cases.

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.

FeathersJS videos

OSS 2019: FeathersJS with David Lueke

More videos:

  • Review - ❄️ Chill Stream | Building EntropyChat.app | node.js, FeathersJS, Vue.js, Vuex, Electron

Plotly videos

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 FeathersJS and Plotly)
JavaScript Framework
100 100%
0% 0
Data Visualization
0 0%
100% 100
Web Frameworks
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using FeathersJS 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 FeathersJS and Plotly

FeathersJS Reviews

We have no reviews of FeathersJS 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.
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...
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.

Social recommendations and mentions

FeathersJS might be a bit more popular than Plotly. We know about 39 links to it since March 2021 and only 33 links to Plotly. 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.

FeathersJS mentions (39)

  • Show HN: Triplit – Open-source syncing database that runs on server and client
    This is just using sqlite under the hood and none of this will scale. Why build your own query builder as well when you could just hook in one of the many ORMs in the NPM ecosystem and add support for 50+ other databases. This also isn't really something you could drop into an existing project very easily. Overall, I'm not impressed. Here are some other options I prefer: https://feathersjs.com/. - Source: Hacker News / 11 months ago
  • Ask HN: Can anyone suggest few open source projects for SaaS Boilerplate?
    For backend this might help https://feathersjs.com. I’m not affiliated with them, just a happy user. - Source: Hacker News / about 1 year ago
  • Best NodeJS frameworks for seamless backend development
    Feathers.js is a web framework built on top of Express which provides a simple way to develop a scalable and reliable application. Feathers.js supports many databases and works with any frontend technology including iOS, Android, and React Native. - Source: dev.to / over 1 year ago
  • Choosing a backend API framework
    Feathers.js - fully fledged backend framework, with almost anything out of the box. Source: almost 2 years ago
  • Node.js 20 is now available
    For anything CRUD or that can be modeled as such, I use FeathersJS (https://feathersjs.com/). - Source: Hacker News / about 2 years ago
View more

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 / 6 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 FeathersJS and Plotly, you can also consider the following products

ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple

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.

Koa.js - Next generation web framework for node.js

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

Adonis JS - AdonisJs is a Node.js web framework with breath of fresh air and drizzle of elegant syntax on top of it

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