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Habit List VS Plotly

Compare Habit List 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

Habit List logo Habit List

Create good habits and break bad ones with the app that keeps you focused.

Plotly logo Plotly

Low-Code Data Apps
  • Habit List Landing page
    Landing page //
    2021-07-26
  • Plotly Landing page
    Landing page //
    2023-07-31

Habit List features and specs

  • Streaks
    Habit List uses streaks to motivate users by showing how long they have consistently completed a habit. This can encourage continued adherence to building new habits.
  • Flexibility
    The app allows users to set habits with variable schedules (daily, weekly, specific days), providing flexibility to tailor habit tracking to individual needs.
  • Reminders
    Habit List offers reminder notifications, which can help users remember to complete their habits throughout the day.
  • Clean Interface
    The app has a clean and user-friendly interface that is easy to navigate, making the habit-tracking process smooth and hassle-free.
  • Progress Visualization
    Users can see detailed statistics and progress reports that help them visualize how well they are maintaining their habits over time.

Possible disadvantages of Habit List

  • iOS Exclusivity
    Habit List is only available on iOS, which excludes Android users from benefiting from the appโ€™s features.
  • No Free Version
    Habit List is a paid app with no free version, which may deter users who are looking for a cost-free habit tracking solution.
  • Limited Integration
    The app doesnโ€™t offer integration with other productivity tools or health apps, limiting its functionality in a broader ecosystem of digital tools.
  • Basic Features
    Compared to other habit-tracking apps, Habit List may have fewer advanced features, such as gamification elements or community support.
  • Manual Data Entry
    Users must manually check off their habits, and there is no automation for habit completion, which can be less convenient for some users.

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.

Habit List videos

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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 Habit List and Plotly)

Habit List

Plotly

Productivity
100 100%
Productivity
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Habit Building
100 100%
Habit Building
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Habit List and Plotly

Habit List Reviews

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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 a lot more popular than Habit List. While we know about 34 links to Plotly, we've tracked only 2 mentions of Habit List. 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.

Habit List mentions (2)

  • [NeedAdvice] Any beautiful android habit-tracker with backup, free or one-time buy?
    I found another Https://habitlist.com/ I can see it's kind of similar. Source: about 5 years ago
  • How to get yourself to do things (2015)
    I've had good results for the past ~6 months using Habit List [0]. What's worked for me is to slowly add 1-2 new items, being thoughtful about prioritizing them. Then when I'm consistent with those, adding more. [0] https://habitlist.com/ (ios only, just a happy user). - Source: Hacker News / about 5 years ago

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
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What are some alternatives?

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

Streaks - The to-do list that helps you form good habits.

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.

Habitify - The easiest way to keep track of your habits

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

Habitica - Habitica is a free habit building and productivity application.

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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