Software Alternatives & Startups

Plotly VS Bearable App

Compare Plotly VS Bearable App 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

Bearable App logo Bearable App

User-friendly health tracking
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Bearable App Landing page
    Landing page //
    2023-05-14

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.

Bearable App features and specs

  • Comprehensive Tracking
    Bearable App allows users to track various aspects of their health and well-being, including mood, symptoms, sleep, and medication, providing a holistic view of their health.
  • User-Friendly Interface
    The app features a clean and intuitive interface, making it accessible and easy to navigate for users of all levels of tech-savviness.
  • Customizable Features
    Users can tailor the app to their specific needs by choosing which aspects of their health they want to track, allowing for personalized experience and data.
  • Data Visualization
    Bearable App provides clear charts and graphs to help users visualize their health data over time, making it easier to identify patterns and correlations.
  • Regular Updates
    The development team frequently updates the app with new features and improvements, ensuring that it stays current and relevant to user needs.

Possible disadvantages of Bearable App

  • Limited Free Version
    Many of the app's more advanced features are restricted to the premium version, limiting the functionality available to free users.
  • Data Entry Time-Consuming
    Some users may find the process of entering data into the app to be time-consuming, especially if they are tracking multiple aspects of their health.
  • Learning Curve
    While the app is user-friendly, new users may experience a learning curve as they familiarize themselves with all the features and options available.
  • Potential Overwhelm
    The wide range of tracking options available might be overwhelming for some users, making it difficult to decide what is worth tracking.
  • Privacy Concerns
    As with any app handling sensitive health data, users may have concerns about how their information is stored and protected.

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

Bearable App videos

Bearable App | Mood & Symptoms tracker | Latest prototype

More videos:

  • Demo - Bearable App Demo
  • Review - Bearable App | Mood and Symptom tracker | Latest prototype
  • Review - App Overview: Bearable

Category Popularity

0-100% (relative to Plotly and Bearable App)
Data Visualization
100 100%
0% 0
Health And Fitness
0 0%
100% 100
Charting Libraries
100 100%
0% 0
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 Bearable App

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.

Bearable App Reviews

  1. Connor Rice
    · Journalist at PsychCentral ·
    Best overall symptom tracker: Bearable

    Bearable is a well-rounded health tracker that helps you put mental health symptoms into context with your general well-being.

    You can also integrate Bearable into your formal mental health treatment plan, sharing data securely with your therapist.

    Competitors: Daylio
    Pros:    Third party service integration|Reminders|Highly customizable
    Cons:    In app purchases

Social recommendations and mentions

Bearable App might be a bit more popular than Plotly. We know about 46 links to it since March 2021 and only 34 links to Plotly. 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

Bearable App mentions (46)

  • Looking For some Support, Have had Chest Pain for 2 weeks and I’m scared. Doctors won’t take it seriously
    In the meantime, it will be helpful if you track your symptoms using a journal or app. Bearable is a great option because it’s very customizable. You can create some really great reports, export them & add them to your medical record. Source: over 2 years ago
  • App to track side effects of medication, general mood and cycle? DESPERATELY trying to find one
    Bearable (https://bearable.app) was the closest thing I could find, you can track all sorts in there and create your own custom fields. It’ll spit out some useful metrics too. Source: about 3 years ago
  • recently diagnosed
    The best way is tracking and writing things down, what preceded the episode, what happened, what worked, what didn't, use an app like daylio or bearable.app you start to notice shit. Like for me, two things always happened, colors seem more colorful somehow, and my thoughts and speech speed up, like I can't want to be done saying the first thing, before I want to say another, everyone is different, you will learn... Source: about 3 years ago
  • I may just find out that I am bipolar and I don't know what I should do about it
    You are welcome, most people like daylio as an app, bearable.app might be your thing, there are tons of good apps, the one you should use is the on you will actually use! They remind you to login and track on a timer that you choose... So it's like, whatever app allows you to capture what you want to convey right... Source: about 3 years ago
  • I’m sick and I missed my doctors appointment because I’m extremely depressed. Now the two problems keep getting bigger.
    Start tracking your symptoms with an app, check out bearable.app/ Now you can just point to your data to your doctor. You don't have to tell some sob story. When you slept, wake up time, meal times, socialization, it all matters. If you are tracking all the stuff, especially the stuff they ask you about, you can just point to the chart and say "this". Source: about 3 years ago
View more

What are some alternatives?

When comparing Plotly and Bearable App, 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.

Daylio - Daylio enables you to keep a private diary without having to type a single line.

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

MyFitnessPal - Track the number of calories that you consume each day with MyFitnessPal. The app also lets you create a diet and track the exercise that you complete each day whether it's walking, running or some other type of program.

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.

Exist - Track everything in one place, understand your life.