Software Alternatives, Accelerators & Startups

Plotly VS Scrapbox

Compare Plotly VS Scrapbox and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

Scrapbox logo Scrapbox

A new style of note-taking that lets you create, discuss, and learn together in one self-organizing space.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Scrapbox Landing page
    Landing page //
    2022-10-05

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.

Scrapbox features and specs

  • Real-time Collaboration
    Scrapbox allows multiple users to edit and view notes at the same time, making it excellent for collaborative projects and brainstorming sessions.
  • Easy Linking
    The platform enables users to easily link between pages with simple syntax, facilitating the organization of notes and the creation of a network of related ideas.
  • Visual Organization
    Scrapbox provides a unique way to visualize the connections between pages, allowing users to see relationships and navigate through their content efficiently.
  • Simple Syntax
    Using a straightforward text format, Scrapbox reduces the learning curve and allows users to focus on content creation rather than formatting.
  • Integration
    Scrapbox integrates with other tools and services, enhancing its functionality and usefulness in various workflows.

Possible disadvantages of Scrapbox

  • Limited Formatting Options
    While the simple syntax is a pro for ease of use, it can be a con for users who need advanced formatting features.
  • Learning Curve for New Users
    New users might find the concept of linking and organization in Scrapbox different from traditional note-taking apps, which can require some time to adjust.
  • Potential Overwhelm with Lots of Links
    With extensive linking capabilities, users might find themselves overwhelmed if their projects have too many interconnected elements.
  • Limited Offline Access
    Scrapbox primarily functions as an online tool, limiting its usability in environments without internet access.
  • Subscription Cost
    Some of Scrapbox's advanced features and collaboration options may require a subscription, which could be a drawback for budget-conscious users.

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.

Analysis of Scrapbox

Overall verdict

  • Yes, Scrapbox is considered a good tool for collaborative note-taking and knowledge management.

Why this product is good

  • Scrapbox offers a unique blend of simplicity and functionality that makes it easy to create and interlink notes. It stands out for its intuitive interface, which allows for quick note creation and automatic linking of related topics. Users appreciate the collaborative features, enabling teams to work together seamlessly and link related ideas without complex formatting. The visual graph representation of notes is also praised for aiding in the organization and discovery of information.

Recommended for

  • Teams looking for a collaborative knowledge management tool.
  • Individuals who prefer a simple yet powerful note-taking application.
  • People who benefit from visual representations of interconnected ideas.
  • Project managers who need a tool to organize and link various pieces of information efficiently.

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

Scrapbox videos

Original Scrapbox DreamBox Tour and Review

More videos:

  • Review - Original Scrapbox Sew Station Review

Category Popularity

0-100% (relative to Plotly and Scrapbox)
Data Visualization
100 100%
0% 0
Note Taking
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Office & Productivity
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 Scrapbox

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.

Scrapbox Reviews

We have no reviews of Scrapbox yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Scrapbox. While we know about 33 links to Plotly, we've tracked only 1 mention of Scrapbox. 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 / 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 / 7 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 / about 1 year 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

Scrapbox mentions (1)

  • Why Your Company's Documentation Sucks
    Scrapbox, an opinionated wiki service, againsts directory structure that can't scale. It's based on hypertext. Try it out. https://scrapbox.io/. - Source: Hacker News / over 4 years ago

What are some alternatives?

When comparing Plotly and Scrapbox, 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.

Idea Notebook - Idea Notebook is an app that allows you to keep track of your logs business ideas and track as well as organize them.

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

RunaBook - RunaBook is a lightweight application that lets you create and organize notes, knowledge bases, and daily routines.

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

Monkkee - Keep a private journal securely on the Internet – to provide a convenient user experience your...