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Everyday VS Plotly

Compare Everyday VS Plotly and see what are their differences

Topolog
Topolog is a goal planner that models your plans as a directed graph and allows you to execute tasks in order, then schedules your days around them. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Everyday logo Everyday

Take a photo of yourself everyday.

Plotly logo Plotly

Low-Code Data Apps
  • Everyday Landing page
    Landing page //
    2019-02-09
  • Plotly Landing page
    Landing page //
    2023-07-31

Everyday features and specs

  • User-Friendly Interface
    Everyday app features a clean and intuitive interface that is easy to navigate, making it accessible for users of all skill levels.
  • Cross-Platform Sync
    The app offers seamless synchronization across multiple devices, ensuring that users can access their data anytime and anywhere.
  • Habit Tracking
    Everyday specializes in habit tracking, helping users to establish and maintain habits with its simple and effective tracking system.
  • Custom Reminders
    Users can set custom reminders for their tasks and habits, which helps in staying organized and maintaining consistency.
  • Visual Progress Representation
    The app provides visual charts and graphs to represent the userโ€™s progress, making it easier to monitor and stay motivated.

Possible disadvantages of Everyday

  • Limited Free Version
    The free version of Everyday has limited features, which might require users to subscribe to the premium version for full functionality.
  • No Integration with Third-Party Apps
    Everyday lacks integration with other popular productivity and habit-tracking apps, which could be a drawback for users who use multiple tools.
  • No Gamification
    Unlike some other habit-tracking apps, Everyday does not include gamification elements, which might make it less engaging for some users.
  • Occasional Sync Issues
    Some users have reported occasional issues with cross-platform sync, where updates made on one device do not immediately reflect on another.
  • Limited Customization Options
    Everyday offers limited customization options for its interface and habit tracking features, which might not meet the preferences of all 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 Everyday

Overall verdict

  • Everyday is a good app for individuals who want to cultivate positive habits and monitor their progress. Its user-friendly interface and clear visualization of data make it easy to use and beneficial for habit tracking purposes.

Why this product is good

  • Everyday is an app designed to help users develop and maintain daily habits by providing a visual calendar, habit tracking features, and customizable reminders. It is praised for its simplicity, intuitive design, and ability to provide users with a clear overview of their habit streaks and progress over time. The app is suitable for individuals looking for a straightforward and effective tool to help them build consistency in their daily routines.

Recommended for

    Everyday is recommended for people who are motivated to improve their daily habits, such as students, professionals, or anyone looking to maintain consistency in various aspects of their life. It is especially useful for those who appreciate visual motivators and need regular reminders to stay on track.

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.

Everyday 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 Everyday and Plotly)

Everyday

Plotly

Productivity
100 100%
Productivity
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Health And Fitness
100 100%
Health And Fitness
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 Everyday and Plotly

Everyday 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 Everyday. While we know about 34 links to Plotly, we've tracked only 1 mention of Everyday. 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.

Everyday mentions (1)

  • M/23/6โ€™0 [233lb > 178lb = 52lb] Face progress over 6mo, longtime lurker here finally with enough confidence to post :)
    Decided to do something different with daily face pictures to document my journey. I used the Everyday App to take the pics, but any daily selfie would do. Source: over 4 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 Everyday and Plotly, you can also consider the following products

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

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.

Loop Habit Tracker - Loop Habit Tracker (AKA uhabits) helps to create and maintain good habits in order to achieve their...

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

Habit - Habit is a habit tracker application that allows users to keep track of the habits all day long and throughout the year.

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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