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Plotly VS Chunk

Compare Plotly VS Chunk and see what are their differences

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

Plotly logo Plotly

Low-Code Data Apps

Chunk logo Chunk

Chunk is your time-blocking command center. Plan tasks with precision, get fullscreen alerts, and stay in flow all day. Built for focus, with calendar integration that fits your workflow.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Chunk 1
    1 //
    2026-03-08
  • Chunk
    Image date //
    2026-03-08
  • Chunk
    Image date //
    2026-03-08
  • Chunk
    Image date //
    2026-03-08
  • Chunk
    Image date //
    2026-03-08

Chunk โ€“ The Minimalist Menubar Task Timer for macOS

Chunk is a lightweight menubar app for macOS that helps you time-block your day with ease. Designed for makers, freelancers, and anyone who thrives on structure, Chunk keeps your plan visible and your focus sharp โ€” without the bloat of traditional productivity tools.

๐Ÿง  Why Chunk?

Chunk was built to solve a simple problem:
Planning your day shouldn't get in the way of doing your work.

Instead of overwhelming you with features, tabs, or integrations you don't need, Chunk lives quietly in your menubar โ€” always accessible, never distracting.

๐Ÿ”ง What You Can Do with Chunk

  • ๐Ÿ•’ Time-Block Your Day
    Plan your day using "chunks", focused blocks of time for specific tasks. Add, edit, and reorder them quickly.

  • ๐ŸŽจ Full Customisable
    Chunks are full customisable. Pick your colour, duration, emoji etc...

  • โฐ Stay on Track with Alerts
    Get notified when a new task begins. Fullscreen notifications make sure you never miss a transition.

  • ๐Ÿ“… Sync with Your Calendar
    Keep everything in one place by syncing with your Apple, Google or Outlook calendar.

  • ๐Ÿ” Save Templates & Routines
    Create reusable task templates that load with a click or daily routines that auto load on selected days.

  • ๐Ÿ“Š Track Your Progress
    See how much of your day you've completed with a visual progress bar in the menubar.

  • ๐Ÿง˜โ€โ™‚๏ธ Built for Focus
    No long form calendars. Just your plan for today, your time, and your focus.

โšก Who Itโ€™s For

  • People who like time-blocking but hate complex planners
  • Developers, freelancers, ADHD and creatives who want a clear schedule
  • Anyone looking to stay intentional about how they spend their time

๐Ÿš€ Try Chunk Free

Chunk comes with a 7-day free trial โ€“ no card required.
Give it a spin and see if it helps you get more done with less stress.

๐Ÿ‘‰ Download Chunk

Built for focus, not friction.

Plotly

Website
plotly.com
Pricing URL
Official Plotly Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

Chunk

Website
chunkapp.net
Pricing URL
Official Chunk Pricing
$ Details
paid Free Trial $19.99 / One-off (Lifetime License)
Platforms
MacOS
Release Date
2025 May
Startup details
Country
France
State
Ile-de-France
City
Paris
Employees
1 - 9
Edit details

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.

Chunk features and specs

  • Calendar Integration
    Chunk now syncs you calendar events from Apple, Google and Outlook calendars
  • Routines and Templates
    Create reusable templates and select days you want these to autoload as routines.
  • Fullscreen Notifications
    Never miss a chunk with fullscreen notifications to keep you always focussed.
  • Full Customisation
    Tasks are fully customisable. Pick your title, colour, emoji and more

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

+ 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

Chunk videos

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

Add video

Category Popularity

0-100% (relative to Plotly and Chunk)

Plotly

Chunk

Data Visualization
100 100%
Data Visualization
0% 0
Project Management
0 0%
Project Management
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Task Management
0 0%
Task Management
100% 100

Questions & Answers

As answered by people managing Plotly and Chunk.

What makes your product unique?

Chunk's answer:

Chunk allows users to really experience all the benifits of timeblocking from directly in the menubar. No bloat, no fuss. We built it for focus not friction.

Who are some of the biggest customers of your product?

Chunk's answer:

Our main customer base is professionals seeking to maximise productivity, the ADHD community and students preparing for exams or studying.

User comments

Share your experience with using Plotly and Chunk. 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 Chunk

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

Chunk Reviews

  1. YasminAx
    Super helpful with my ADHD having fullscreen alerts

    I had low expectations for this if i'm honest and its actually been really good I Just bought the lifetime access and was gutted you didn't support Apple calendar but then you released apple support the very next day. What are the chances lol

    ๐Ÿ Competitors: Todoist, Structured
    ๐Ÿ‘ Pros:    Cheap price|Ui is very attractive|Adhd tool
    ๐Ÿ‘Ž Cons:    No mobile app yet
The Best ADHD Apps for Adults: Top 8 Picks for Better Productivity
Chunk integrates smoothly with Apple, Google, and Outlook calendars. Accessible right from your Macโ€™s menubar, it ensures distraction-free access to your tasks. Its minimalist fullscreen notifications offer clear, gentle reminders as you transition between tasks.
Source: dev.to
Top 10 Productivity Apps for MacOSย 2025
Chunk is a new tool Iโ€™ve started using, and itโ€™s simple but fills a crucial gap for anyone looking for a straightforward single-day planner. As someone with ADHD, I find it perfect for keeping track of my day without feeling overwhelmed. The app sits quietly in the menubar, and thereโ€™s no unnecessary setup it just works right out of the box. If youโ€™re into timeblocking,...
Source: dev.to

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.

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
View more

Chunk mentions (0)

We have not tracked any mentions of Chunk yet. Tracking of Chunk recommendations started around Apr 2025.

What are some alternatives?

When comparing Plotly and Chunk, 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.

Google Calendar - Spend less time managing your day & more time enjoying it

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

TickTick - TickTickis a cross-platform to-do list app & task manager helps you to get all things done and make life well organized.

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.

Fantastical 2 - Fantastical, the Mac calendar app you'll enjoy using. Quickly create new events with natural language input and more.

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