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Mendeley VS Plotly

Compare Mendeley 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

Mendeley logo Mendeley

Easily organize your papers, read & annotate your PDFs, collaborate in private or open groups, and securely access your research from everywhere.

Plotly logo Plotly

Low-Code Data Apps
  • Mendeley Landing page
    Landing page //
    2022-10-11
  • Plotly Landing page
    Landing page //
    2023-07-31

Mendeley features and specs

  • Reference Management
    Mendeley allows users to easily organize their research papers, create bibliographies, and manage references with ease.
  • Collaboration Tools
    Mendeley provides features for collaborating with other researchers, such as sharing documents and annotations.
  • Search and Discovery
    Users can search for papers and references within the Mendeley ecosystem, helping them discover relevant research.
  • Cross-Device Syncing
    Mendeley's cloud sync feature allows users to access their library from multiple devices seamlessly.
  • PDF Annotation
    The platform provides tools to annotate PDFs, making it easier to highlight, take notes, and mark important sections of research papers.
  • Free Plan
    Mendeley offers a free version of its service, which includes a significant number of features useful for researchers and academics.
  • Citation Styles
    Mendeley supports a wide range of citation styles, enabling users to format their references according to various academic standards.

Possible disadvantages of Mendeley

  • Storage Limits
    The free version has limited cloud storage (2GB), which might not be sufficient for researchers with a large number of documents.
  • Software Stability
    Some users have noted occasional software crashes and bugs, which can disrupt the workflow.
  • Learning Curve
    New users may find it challenging to navigate and make full use of all features without a thorough exploration.
  • Privacy Concerns
    As a proprietary platform, there are some privacy concerns regarding the data that Mendeley collects and stores.
  • Feature Overlap
    Some advanced features available in competing tools are either missing or less sophisticated in Mendeley.
  • Limited Customer Support
    Support options, especially for the free plan, can be limited, resulting in slower resolution times for issues.
  • Proprietary Format
    Mendeley stores its data in a proprietary format, which might not be easily transferable to other reference management tools.

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.

Mendeley videos

+ Add

Zotero vs Mendeley: which one is best?

More videos:

  • Review - Personal Knowledgebase I - Comparing Mendeley, Zotero, Evernote & Citavi
  • Review - Getting Started with Mendeley

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 Mendeley and Plotly)

Mendeley

Plotly

Research Tools
100 100%
Research Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Information Organization
100 100%
Information Organization
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Mendeley and Plotly. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Mendeley and Plotly

Mendeley Reviews

Top 5 Free Reference Management Software for Research
Mendeley is a product and service provider for academic scholars situated in London, United Kingdom. It is best known for its reference manager, which is used to organize and distribute research papers as well as generate bibliographies for academic publications.
Source: www.ilovephd.com
10 Best Reference Management Software for Research
Mendeley reference manager allows you to store, organize, and search all of your references from just one reference library. It makes it easy to add references and bibliographies to your google docs. Mendeley reference manager allows you to read, highlight, and annotate PDFs, and retain all of your ideas in one location across numerous pages.
Source: www.scijournal.org
Citation Management Tools - Alternatives to EndNote
Mendeley is a free Web-based tool similar to Zotero, but it sets itself apart with a robust PDF annotating tool. Because Mendeley doesn't work within Google Docs, you would have to create a bibliography and copy it over to the document. Thus, Mendeley might be a great fit for those who use citation managers for personal projects but not for those participating in a lot of...
Source: mclibrary.duke.edu

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 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.

Mendeley mentions (0)

We have not tracked any mentions of Mendeley yet. Tracking of Mendeley recommendations started around Mar 2021.

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 / 5 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

What are some alternatives?

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

Zotero - Zotero is a free, easy-to-use tool to help you collect, organize, cite, and share research.

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.

Qiqqa - Qiqqa is a free research and reference management software. It can be used in many organizational projects from the academic to the personal to the business endeavor. Read more about Qiqqa.

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

JabRef - Graphical Java application for managing bibtex (. bib) databases.โ€ŽJabRef ยทย โ€ŽJabRef Help ยทย โ€ŽJabRef | Blog ยทย โ€ŽOpenOffice/LibreOffice .

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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