Software Alternatives, Accelerators & Startups

MobX VS Plotly

Compare MobX VS Plotly and see what are their differences

MobX logo MobX

Simple, scalable state management

Plotly logo Plotly

Low-Code Data Apps
  • MobX Landing page
    Landing page //
    2024-04-24
  • Plotly Landing page
    Landing page //
    2023-07-31

MobX features and specs

  • Simplicity
    MobX allows developers to manage state in a simple and straightforward manner. Its API is minimal and doesn't impose the rigid structure that other state management libraries might require.
  • Reactivity
    The library provides powerful reactive state management, meaning that it automatically updates the UI when the underlying data changes, minimizing boilerplate code.
  • Performance
    MobX optimizes re-rendering by tracking dependencies precisely, making updates efficient and reducing unnecessary renders.
  • Integration
    MobX can easily integrate with React and other JavaScript frameworks, making it flexible for use in various types of projects.

Possible disadvantages of MobX

  • Learning Curve
    While MobX is straightforward for simple use cases, understanding its reactivity and decorators might be challenging for beginners.
  • Scalability Concerns
    For very large applications, the unstructured nature of MobX might lead to spaghetti code if not managed properly, making it harder to maintain.
  • Less Community Support
    Compared to other state management libraries like Redux, MobX has a smaller community, which could mean fewer resources for troubleshooting and learning.
  • Loose Structure
    The lack of rigid structure, while contributing to simplicity, can result in code that is harder to manage, especially in larger applications where a more organized approach might be beneficial.

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.

MobX videos

MobX vs Redux (A MobX Redux comparison)

More videos:

  • Tutorial - MobX tutorial #1 - MobX + React is AWESOME
  • Review - Introduction to MobX & React in 2020
  • Tutorial - MobX in React Tutorial - Scalable State Management
  • Review - Battlefield Developer Tells The Secrets of MobX Nested Stores

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 MobX and Plotly)
Javascript UI Libraries
100 100%
0% 0
Data Visualization
0 0%
100% 100
Front-End Frameworks
100 100%
0% 0
Data Dashboard
0 0%
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 MobX and Plotly

MobX Reviews

We have no reviews of MobX yet.
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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

Based on our record, Plotly should be more popular than MobX. 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.

MobX mentions (20)

  • Getting started with TiniJS framework
    States can also be organized in some central places (aka. stores). You can use Tini Store (very simple, ~50 lines) or other state management solutions such as MobX, TinyX, ... - Source: dev.to / about 1 year ago
  • Episode 24/13: Native Signals, Details on Angular/Wiz, Alan Agius on the Angular CLI
    Similarly to Promises/A+, this effort focuses on aligning the JavaScript ecosystem. If this alignment is successful, then a standard could emerge, based on that experience. Several framework authors are collaborating here on a common model which could back their reactivity core. The current draft is based on design input from the authors/maintainers of Angular, Bubble, Ember, FAST, MobX, Preact, Qwik, RxJS, Solid,... - Source: dev.to / about 1 year ago
  • React State Management in 2024
    Mutable-based: leverages proxy to create mutable data sources which can be directly written to or reactively read from. Candidates in this group are MobX and Valtio. - Source: dev.to / over 1 year ago
  • Show HN: Cami.js – A No Build, Web Component Based Reactive Framework
    Looks good! FWIW I always felt the observable pattern much more intuitive than the redux/reducer style. Something like https://mobx.js.org/ Things get hairy in both, but redux pattern feels so ridiculously ceremonially to effectively manage a huge global state object with a false sense of "purity". Observables otoh say "fuck it, I'm mutating everything, do what you want with it". - Source: Hacker News / over 1 year ago
  • React Redux
    It's important to note that Redux is just one of many options for global state management in a React application. Other popular options include MobX and the React context API.context API](https://reactjs.org/docs/context.html). - Source: dev.to / over 2 years ago
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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 / 3 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 / 5 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 / 7 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 / about 1 year 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 MobX and Plotly, you can also consider the following products

Redux.js - Predictable state container for JavaScript apps

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.

vuex - Centralized State Management for Vue.js

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

Recoiljs - A state management library for React.

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