Software Alternatives & Startups

Plotly VS ClickHelp

Compare Plotly VS ClickHelp and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

ClickHelp logo ClickHelp

Create, translate, and publish technical documentation easily in one portal, anywhere in the world!
  • Plotly Landing page
    Landing page //
    2023-07-31
  • ClickHelp landing 2024.03.19
    landing 2024.03.19 //
    2024-03-19

Here is how ClickHelp makes your tech writing more effective:

  1. Easy to use WYSIWYG topic editor, as well as HTML source mode.
  2. Single-sourcing and content reuse.
  3. In-depth analytics and reporting.
  4. Readability scores and metrics.
  5. Easy importing and exporting. Import content from Microsoft Word, HTML, Markdown, RTF, CHM, ODT, etc. and export to CHM, HTML5 Web Help, PDF, DOCX, etc.
  6. Translation ecosystem to create multi-language documentation.
  7. Machine translation support.
  8. API features.
  9. Swagger/OpenAPI Definition import.
  10. RTL language support.
  11. Audit trail and IP Allowlist for enhanced security.
  12. ClickHelp AI (AI Suite).
  13. Optional block-based topic editor.
  14. Automated domain management.
  15. Two-Factor Authentication.
  16. AI-friendly documentation. Prepare your content for modern AI agents by configuring llms.txt files and retrieving topics in native Markdown format.
  17. Centralized file storage.
  18. MCP server
  19. Multi-site setup Integrations: Zapier, Google Analytics, Google Search Console, Zendesk, AddThis, Google Translate, DeepL, YouTube and much more.

ClickHelp

$ Details
paid Free Trial $194 / Monthly (Unlimited projects, 500 topics (pages, articles))
Platforms
Web Browser Linux Google Chrome Cloud Mac

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.

ClickHelp features and specs

  • Flexibility and Power
    Rich topic content, Easy migration, Full reader UI customization
  • Collaboration and Teamwork
    Cloud hosting, Customizable workflow, Email notifications, Mentions in comments
  • Single-Sourcing and Content Reuse
    Cross-project content reuse, Multi-channel publishing
  • Comprehensive Reader UI
    7 ready Reader UI templates, Patented Full-Text Search engine
  • Analytics and Reporting
    Project readiness, Topic ratings
  • Translation and Localization
    Translator dashboard
  • ClickHelp AI
    a powerful add-on that enhances the documentation experience by providing an intelligent assistant for readers and a smart writing companion for authors
  • IP Allowlist
    corporate security feature that restricts access to the authoring environment (Contributor UI) and API by permitting connections only from trusted IPv4/IPv6 addresses or specified network ranges using CIDR notation.
  • Audit Trail
    logs events within your ClickHelp portal to enhance security and accountability.
  • Integrations via Zapier
    empowers teams to automate documentation workflows by connecting ClickHelp to over 6,000 external applications, enabling seamless cross-platform task triggers and actions without writing any code.
  • RTL language support
    support for both readers and authors
  • support for AI-Friendly Documentation
    a suite of features designed to make your portal's content easily discoverable, readable, and indexable for modern AI agents and Large Language Models (LLMs) like ChatGPT and Claude.
  • Multi-site setup
    Publish and manage multiple independent, public-facing documentation sites from a single ClickHelp portal.

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.

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

ClickHelp videos

ClickHelp Review - GreeneStep

More videos:

  • Review - ClickHelp 3 Minute Overview
  • Review - ClickHelp - Professional Online Documentation Tool Introduction
  • Review - ClickHelp - Professional Online Documentation Tool Introductionv

Category Popularity

0-100% (relative to Plotly and ClickHelp)
Data Visualization
100 100%
0% 0
Knowledge Management
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Document Management
0 0%
100% 100

Questions & Answers

As answered by people managing Plotly and ClickHelp.

What makes your product unique?

ClickHelp's answer:

ClickHelp stands out for its combination of advanced features, ease of use, and focus on enhancing collaboration and productivity in technical writing teams.

Why should a person choose your product over its competitors?

ClickHelp's answer:

ClickHelp is a comprehensive, AI-powered SaaS documentation platform that distinguishes itself through specialized features for authoring, automation, and modern AI compatibility.

How would you describe the primary audience of your product?

ClickHelp's answer:

The primary audience for ClickHelp consists of technical writing teams and software companies of all sizes that require a professional solution for creating, hosting, and delivering documentation.

User comments

Share your experience with using Plotly and ClickHelp. 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 Plotly and ClickHelp

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.

ClickHelp Reviews

  1. Matt Foster
    · Documentation Lead at Nimbus Software Solutions ·
    A Game changer for my team

    ClickHelp has completely transformed how our team handles technical documentation. As the Documentation Lead at Nimbus Software Solutions, I oversee content creation for multiple SaaS products, and we needed a tool that was both powerful and user-friendly. ClickHelp delivered on both fronts.

    The interface is clean and intuitive, which made onboarding easy—even for team members new to documentation platforms. Features like single-sourcing, version control, and real-time collaboration have improved our workflow. We also appreciate the customization options that let us maintain a consistent brand voice across all our content.

    Publishing is fast and seamless, and the platform’s performance is reliable even with large documentation sets. Plus, ClickHelp’s support team has been responsive and knowledgeable whenever we needed help.

  2. Grace Dunce
    · Senior technical writer at Tech Networks ·
    It helps us a lot

    I like ClickHelp as we (my team) created a huge database with this tool and all the content is reusable. That makes the work simpler. We leave comments right inside the topic like in Google Docs. That is perfect! Nothing gets lost. The tool is cloud-based. So, we can work from any place. It happens that I make corrections during my weekend from home. It saves me from the necessity rush to the office. The portal is protected by a password. You may give access to your portal to your colleagues or readers and their permissions will be different. For us, the main advantage is that everything is in order and under control now.

    Competitors: MadCap Flare, Paligo
    Pros:    Simple|Intuitive|Reasonable pricing|Feature rich
    Cons:    None so far
  3. Mark
    · Technical Writer at Freelance ·
    Great tool!

    I started to use ClickHelp a couple of years ago. So far it is the only service that gives me the ability to create several manuals from one and the same source. I create the initial document that contains all the information and then generate different outputs hiding and showing some parts of the document. I do not have to copy and paste the passages all the time. One more thing I love is the branding. As a freelancer, I am often engaged in several projects. So I have to take care of the consistency and corporate identity of my documentation for each project. Each company has its own rules. For ClickHelp it is not a problem. What I enjoy as well is that when something goes wrong I can get back to the exact version of the document that I need. All the changes are saved in the version history.

    Competitors: Paligo
    Pros:    Reliable|Feature rich|Convenient|Good price

Best 25 Software Documentation Tools 2023
ClickHelp is a cloud-based documentation tool that allows businesses to create, manage, and publish online documentation, knowledge bases, user manuals, and help systems for their products or services.
Source: www.uphint.com
19 Best Online Documentation Software & Tools for 2023
ClickHelp offers a holistic solution for all your documentation needs. Right from authoring and hosting to publishing, ClickHelp assists you across all stages of the document-building process. Collaboration is a breeze for teams as they can work collectively on articles, track historical changes, and stay on top of all activities through internal comments.

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than ClickHelp. While we know about 34 links to Plotly, we've tracked only 3 mentions of ClickHelp. 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 (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 / 6 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!🤓
    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 / almost 2 years 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

ClickHelp mentions (3)

  • 7 Best Alternatives To MadCap Flare
    Clickhelp ClickHelp is an good option for companies looking for a new help authoring tool. ClickHelp is an up-to-date cloud-based documentation platform for teams who want to create, host, and maintain online software guides, knowledge bases, context help, and instructions. ClickHelp lets you to collaborate effectively with subject matter experts using the online portal, and publish documentation to a range of... - Source: dev.to / over 3 years ago
  • Good documentation platforms
    I use ClickHelp, it provides all features you mentioned. You can learn more here: https://clickhelp.com/. Source: over 4 years ago
  • Technical Writing Tools
    I used to work with Oxygen XML Author and easyDITA, which would be too expensive and might be overkill imo, so I was thinking about Madcap Flare or ClickHelp. Source: over 5 years ago

What are some alternatives?

When comparing Plotly and ClickHelp, 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.

MadCap Flare - Documentation for Any Audience, Language or Format

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

Document360 - Self-service knowledge base software focused on SaaS Products & Enterprise Software Projects.

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.

HelpNDoc - What is HelpNDoc ? Easy to use yet powerful help authoring environment which can generate various documentation formats from a single source.