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Plotly VS Java Persistence API

Compare Plotly VS Java Persistence API and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Java Persistence API logo Java Persistence API

The Java Persistence API provides a POJO persistence model for object-relational mapping.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Java Persistence API Landing page
    Landing page //
    2023-08-21

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.

Java Persistence API features and specs

  • Object-Relational Mapping
    JPA allows developers to map Java objects to database tables, making it easier to handle complex database interactions through object manipulation rather than SQL code.
  • Vendor Agnostic
    As a part of the Java EE standard, JPA provides a consistent interface that works across different vendors, allowing flexibility to switch databases without significant code changes.
  • Ease of Use
    JPA simplifies database interactions with annotations and XML configurations, reducing boilerplate code and enhancing developer productivity.
  • Cache Management
    JPA supports first-level caching, which improves performance by reducing the number of database calls, as entities are cached after they are retrieved for the first time.
  • Transaction Management
    JPA supports declarative transaction management, allowing developers to specify transaction boundaries easily and ensuring data consistency and integrity.

Possible disadvantages of Java Persistence API

  • Complexity
    For simple applications, JPA can introduce unnecessary complexity, requiring the management of the persistence context, fetching strategies, and caching.
  • Performance Overhead
    JPA abstraction can introduce performance overhead due to additional processing layers, especially with complex queries that may not map efficiently to SQL.
  • Learning Curve
    Developers may face a steep learning curve in understanding annotations, entity lifecycle, and persistence context, which can increase development time initially.
  • Limited Control
    JPA abstracts many database operations, which may restrict developers from leveraging advanced database-specific features or optimizations.
  • Debugging Challenges
    Errors related to the ORM layer can be complex and difficult to debug, requiring a good understanding of both JPA and the underlying database interactions.

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

Java Persistence API videos

+ Add

Java Basics - JPA: Java Persistence API | Spring Data Tutorial

More videos:

  • Review - Review Java Persistence API (JPA): 1 The Basics 2 Inheritance and Querying By Kesha Williams

Category Popularity

0-100% (relative to Plotly and Java Persistence API)

Plotly

Java Persistence API

Data Visualization
100 100%
Data Visualization
0% 0
Maps
0 0%
Maps
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Tool
0 0%
Tool
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 Java Persistence API

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

Java Persistence API Reviews

We have no reviews of Java Persistence API yet.
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Social recommendations and mentions

Based on our record, Plotly seems to be more popular. 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.

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 1 month 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 / 5 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

Java Persistence API mentions (0)

We have not tracked any mentions of Java Persistence API yet. Tracking of Java Persistence API recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and Java Persistence API, 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.

Google Maps - Find local businesses, view maps and get driving directions in Google Maps.

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

OpenStreetMap - OpenStreetMap is a map of the world, created by people like you and free to use under an open license.

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

Leaflet - Leaflet is a modern, lightweight open-source JavaScript library for mobile-friendly interactive maps.

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