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LinkedIn Developers VS Plotly

Compare LinkedIn Developers VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

LinkedIn Developers logo LinkedIn Developers

Discover career paths and land a job

Plotly logo Plotly

Low-Code Data Apps
  • LinkedIn Developers Landing page
    Landing page //
    2023-01-18
  • Plotly Landing page
    Landing page //
    2023-07-31

LinkedIn Developers features and specs

  • Professional Network Access
    LinkedIn Developers provides access to a vast network of professional profiles, enabling applications to tap into an extensive database of professionals, which can be beneficial for recruitment, marketing, and other professional services.
  • Rich Data and Insights
    The platform allows for the integration of rich professional data and insights, which can enhance applications by providing users with personalized and contextual data.
  • Brand Exposure
    By integrating with LinkedIn, applications can increase their exposure, connecting with LinkedIn's substantial user base for improved engagement and visibility.
  • Comprehensive API Suite
    LinkedIn offers a comprehensive suite of APIs that enable developers to create diverse and robust applications, catering to various functionalities such as hiring solutions, marketing, and networking.

Possible disadvantages of LinkedIn Developers

  • Strict API Limitations
    LinkedIn imposes strict limitations on their APIs, which can restrict the amount of data that can be accessed and the frequency of requests, potentially hindering the performance and scalability of applications.
  • Compliance and Policy Restrictions
    Applications must adhere to LinkedIn's stringent compliance and data usage policies, which can limit creativity and require additional resources for policy adherence and monitoring.
  • Complex Integration Process
    Integrating with LinkedIn Developers can be complex and time-consuming due to the need to understand and implement multiple APIs effectively while ensuring compliance with all requirements.
  • Limited Access for Non-Partners
    Full access to LinkedIn's APIs is often restricted to official partners, which could deter smaller developers or startups that may not qualify for partnership but still wish to leverage LinkedIn's capabilities.

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.

LinkedIn Developers videos

No LinkedIn Developers videos yet. You could help us improve this page by suggesting one.

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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

Category Popularity

0-100% (relative to LinkedIn Developers and Plotly)

LinkedIn Developers

Plotly

Tech
100 100%
Tech
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Hiring And Recruitment
100 100%
Hiring And Recruitment
0% 0
Charting Libraries
0 0%
Charting Libraries
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 LinkedIn Developers and Plotly

LinkedIn Developers Reviews

We have no reviews of LinkedIn Developers 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.
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 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.
Source: blog.logrocket.com

Social recommendations and mentions

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

LinkedIn Developers mentions (5)

  • How to Integrate Social Media into Your SaaS App
    The LinkedIn Developer Portal is where you create and manage applications that can securely access LinkedIn APIs, enabling you to configure authentication, request permissions, and manage access to LinkedIn resources. - Source: dev.to / 5 months ago
  • Publishing Pipeline - LinkedIn Support
    To enable API access, the first step involved setting up a developer application on LinkedIn's platform. Head over to the LinkedIn Developers portal to create an app. This process is straightforward but requires careful configuration to ensure secure and effective communication.v. - Source: dev.to / 5 months ago
  • Mastering LinkedIn API: Step-by-Step Guide for Seamless Integration
    Register an App โ€“ Go to LinkedIn Developer Portal and create an app. - Source: dev.to / over 1 year ago
  • Automatically posting articles from dev.to to linkedin.com
    Now, you need to go to the developer portal using link and create the new application:. - Source: dev.to / over 1 year ago
  • Integrating LinkedIn Authentication with NextAuth.js: A Step-by-Step Guide
    To allow Next.js application to use LinkedIn as an authentication provider, first create an app inside LinkedIn Developer Portal. - Source: dev.to / almost 2 years ago

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
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What are some alternatives?

When comparing LinkedIn Developers and Plotly, you can also consider the following products

CareerStack - Curated directory of job search resources & tools

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.

Career Cache - The best tools and resources to help you get a better job

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

Matter - Create a feedback-focused culture in Slack with Matter!

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.

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