Software Alternatives, Accelerators & Startups

Laravel Nova VS Plotly

Compare Laravel Nova VS Plotly and see what are their differences

Laravel Nova logo Laravel Nova

Application and Data, Languages & Frameworks, and MVC Tools

Plotly logo Plotly

Low-Code Data Apps
  • Laravel Nova Landing page
    Landing page //
    2022-08-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Laravel Nova features and specs

  • Ease of Integration
    Laravel Nova is designed to work seamlessly with the Laravel framework, allowing for quick and efficient integration with existing Laravel applications.
  • User Interface
    Nova provides a clean, responsive, and modern user interface that enhances the user experience for both developers and end-users.
  • Resource Management
    It offers comprehensive tools for managing resources, relationships, and metrics, making it easier to handle complex data structures within the admin panel.
  • Customizability
    Developers can easily customize the Nova dashboard, including fields, actions, filters, and lenses, to suit their application needs.
  • Active Community and Support
    As part of the Laravel ecosystem, Nova benefits from an active community, detailed documentation, and ongoing support and updates.

Possible disadvantages of Laravel Nova

  • Cost
    Unlike other free open-source Laravel solutions, Nova is a paid product, which might not be suitable for small projects or developers with limited budgets.
  • Learning Curve
    For developers who are new to Laravel or Nova, there is a learning curve to effectively understand and utilize all of Nova’s features.
  • Limited Extensibility
    While Nova is customizable, there are certain extensibility limitations that might require a workaround or in-depth understanding to overcome.
  • Dependence on Laravel Ecosystem
    Nova is tightly coupled with Laravel, which means it cannot be used with other PHP frameworks, thus limiting its use cases.
  • Performance Concerns
    In some cases, especially with larger datasets or more complex operations, there might be performance bottlenecks if the Nova configurations are not optimized properly.

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.

Laravel Nova videos

LARAVEL NOVA VS LARAVEL BACKPACK ⚔ HONEST REVIEW

More videos:

  • Review - Laravel Nova Overview
  • Review - LKnet | Why we Decidided to Switch from Wordpress to Laravel Nova

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 Laravel Nova and Plotly)
Developer Tools
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 Laravel Nova 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 Laravel Nova and Plotly

Laravel Nova Reviews

We have no reviews of Laravel Nova 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

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

Laravel Nova mentions (15)

  • Goravel: A Go framework inspired by Laravel
    Same reason IDEs — when you really know them — allow for quicker development compared to using primitive text editors with a bunch of third-party plugins duck-taped together. When you understand the framework, everything is written to the same standard, behaves in similar ways, and is where you expect it to be. Adding things like background job processing requires changing one line of config. Also, one... - Source: Hacker News / 3 months ago
  • Laravel Ecosystem in 2024
    Laravel Nova: Laravel Nova is an easy-to-use admin panel for Laravel applications with a clean design. It provides an intuitive UI for managing application data and creating custom dashboards. With Nova, developers can easily build CRUD interfaces, manage relationships, and add custom tools. - Source: dev.to / 9 months ago
  • Creating a CRM from scratch in wordpress, how hard would it be?
    If you're insistent on php, use Laravel Nova, or better yet, something like Odoo. Source: about 2 years ago
  • Would love some CMS suggestions for an for existing Laravel app
    Laravel ecosystem itself provides you with Nova. It's perfect for. Source: about 2 years ago
  • Am new to PhP and Laravel and my company wants me to code in it.
    But if this is simply "We need a CRUD app", you should look at Laravel Nova to cut down on a lot of work that people have done a million times before. Source: 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 / 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 / 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 / 12 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 Laravel Nova and Plotly, you can also consider the following products

Laravel Voyager - The missing Laravel admin

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.

Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.

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

Laravel Kit - Desktop Laravel admin panel app with no configuration needs

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