Software Alternatives, Accelerators & Startups

You Need A Wiki VS Plotly

Compare You Need A Wiki VS Plotly and see what are their differences

You Need A Wiki logo You Need A Wiki

Create a wiki with Google Docs

Plotly logo Plotly

Low-Code Data Apps
  • You Need A Wiki Landing page
    Landing page //
    2023-04-09
  • Plotly Landing page
    Landing page //
    2023-07-31

You Need A Wiki features and specs

  • Easy Integration
    You Need A Wiki integrates seamlessly with Google Sheets, allowing users to manage and display their data in a wiki format without leaving the Google ecosystem.
  • Collaborative Editing
    Multiple users can collaborate on the same document simultaneously, benefiting from Google Sheets' collaborative features while using You Need A Wiki.
  • Simple Setup
    You Need A Wiki is straightforward to set up and use, making it accessible even for users who are not technically inclined.
  • Cost-Effective
    For teams that already use Google Workspace, You Need A Wiki can be a cost-effective wiki solution since it leverages existing tools.
  • Automatic Syncing
    Changes made in Google Sheets are automatically reflected in the wiki, ensuring that the information is always up-to-date.

Possible disadvantages of You Need A Wiki

  • Limited Features
    Compared to full-fledged wiki software, You Need A Wiki may lack advanced features such as complex page structuring and extensive customization options.
  • Dependent on Google Sheets
    The functionality of You Need A Wiki is tied to Google Sheets, requiring users to have a Google account and possibly limiting functionality if Google services are down or unavailable.
  • Scalability Issues
    For large organizations or complex projects, using Google Sheets as a backend might not be scalable, potentially leading to performance issues.
  • Privacy Concerns
    As information is stored in Google Sheets, privacy-conscious users might be concerned about data security and Google’s access to their information.
  • Lack of Advanced Permissions
    The permission settings are limited to what Google Sheets offers, potentially posing challenges for teams that require detailed access control.

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.

You Need A Wiki videos

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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 You Need A Wiki and Plotly)
Documentation As A Service & Tools
Data Visualization
0 0%
100% 100
Documentation
100 100%
0% 0
Data Dashboard
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 You Need A Wiki and Plotly

You Need A Wiki Reviews

11 Top Confluence Alternatives & Competitors For Team Collaboration
With YNAW, anyone with access to your Google Docs can edit or update your wiki-style website in seconds. The process of inviting anyone to your wiki is similar to inviting a user to a shared file or folder on Google Drive.
Source: clickup.com
The 11 Best Slite Alternatives in 2022- Free Tools Included!
That’s what makes YNAW a worthy Slite alternative. Users can create private team wikis, link to other documents, create a table of contents, create nested tree menus, and more.
Source: remoteverse.com

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 You Need A Wiki. 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.

You Need A Wiki mentions (13)

  • I Created Perfect Wiki and Reached $250K in Annual Revenue Without Investors
    This product reminds me a bit of 'You need a wiki', which allows you to maintain your wiki in Google Drive, but still browse it easily: https://youneedawiki.com/ As the files are all stored in Google Drive, so there's no vendor lock-in. - Source: Hacker News / about 1 month ago
  • How do you organise your information?
    Personally I use YNAW (You Need A Wiki), which makes you a wiki using google drive, I know obsidian is also good but it just doesn't jive right for me. Source: over 1 year ago
  • Is it Common Practice to use a “Dev Wiki”?
    I personally use google drive, and use https://youneedawiki.com/ to display it as a wiki. Completely free. Source: about 2 years ago
  • Looking for an oddly specific Wiki service feature. Is there one that does this?
    Is there a wiki that has a sidebar which uses some kind of expandable / collapsable folder structure that makes the taxonomy really clear? Here's an example as used in youneedawiki. I really like how clear and fast it is to see where you are in any particular knowledge branch. Source: about 2 years ago
  • Ask HN: Making the best of GitHub and Google Docs for a new startup
    Trying to nail down what tools we will use as a fully remote team needing to work asynchronously. We will have paid versions of GitHub (Teams) and Google Workspace for email / calendar and docs. I did look at notion, clickup but I honestly think I prefer limiting our spend on an extra tool. What I like about notion is how its got a wiki structure, and this is where G-Docs leaves us short. The performance of... - Source: Hacker News / over 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 / 2 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 / 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 / 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 You Need A Wiki and Plotly, you can also consider the following products

GitBook - Modern Publishing, Simply taking your books from ideas to finished, polished books.

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.

Archbee.io - Archbee is a developer-focused product docs tool for your team. Build beautiful product documentation sites or internal wikis/knowledge bases to get your team and product knowledge in one place.

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

Kbee - Create a wiki in 5 minutes Kbee turns your Google Drive folders into a fast, searchable wiki for you and your team.

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