Software Alternatives, Accelerators & Startups

Plotly VS React Native Seed

Compare Plotly VS React Native Seed and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

React Native Seed logo React Native Seed

Starting point for your React Native project
  • Plotly Landing page
    Landing page //
    2023-07-31
  • React Native Seed Landing page
    Landing page //
    2022-01-16

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.

React Native Seed features and specs

  • Cross-Platform
    React Native Seed allows developers to create mobile applications that can run on both iOS and Android platforms using a single codebase, reducing development time and resources.
  • Pre-Built Components
    The seed provides a set of pre-built components and scaffolding, which can speed up development by providing a solid structure and reusable UI elements.
  • Community Support
    Being a part of the larger React Native ecosystem, React Native Seed benefits from a vast community of developers who contribute to libraries, tools, and support forums.
  • Customization Flexibility
    Developers can customize the seed to fit their specific project needs, allowing for flexibility in design and functionality while maintaining a structured foundation.
  • Hot Reloading
    React Native Seed supports hot reloading, which enables developers to see updates instantly in the app without losing the application state, improving the development experience.

Possible disadvantages of React Native Seed

  • Performance Limitations
    While optimized for most common use cases, React Native Seed might face performance issues for apps requiring complex animations or heavy computational tasks compared to fully native solutions.
  • Native Module Dependency
    Certain functionality might require native code implementation, meaning developers need knowledge of both JavaScript and the corresponding native languages (Swift/Objective-C for iOS and Java/Kotlin for Android).
  • Limited Out-of-the-Box Features
    While it provides a good starting point, React Native Seed may lack certain advanced features that some complex applications require, necessitating additional development effort.
  • Learning Curve
    Developers not already familiar with React or JavaScript might face a learning curve when starting with React Native Seed.
  • Dependence on Third-Party Libraries
    Many functionalities might rely on third-party libraries, which can lead to compatibility issues or require additional maintenance to keep up-to-date.

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.

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

React Native Seed videos

No React Native Seed videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and React Native Seed)
Data Visualization
100 100%
0% 0
Developer Tools
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Development Tools
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 Plotly and React Native Seed

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 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.

React Native Seed Reviews

We have no reviews of React Native Seed yet.
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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 / 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

React Native Seed mentions (0)

We have not tracked any mentions of React Native Seed yet. Tracking of React Native Seed recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and React Native Seed, 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.

React Native - A framework for building native apps with React

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

React Native Desktop - Build OS X desktop apps using React Native

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.

Expo - The fastest way to build an iOS and Android app ๐Ÿ“ฑ