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HEY VS Plotly

Compare HEY VS Plotly and see what are their differences

HEY

Email at its best, new from Basecamp.

Rating
0 reviews
Pricing
Paid Free trial $99 / Annually
Alternatives Is it good?
Plotly

Low-Code Data Apps

Rating
0 reviews
Alternatives Is it good?
Modelence
Create production-ready applications with zero code sponsored
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.

Which is more popular?

Plotly might be a bit more popular than HEY. We know about 34 links to it since March 2021 and only 24 links to HEY.

social mentions
24 vs 34
Email popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

HEY
Plotly
Website hey.com plotly.com
Pricing
Paid Free trial $99 / Annually Official pricing
Official pricing
Listed in
Email Email Clients Communication Email Management Productivity +2
Application And Data Developer Tools App Development App Deployment Data Visualization Low Code +3

Features and specs

What each product offers, as listed by its team.

HEY 4 features
Plotly 6 features
  • Privacy-focused
    HEY places a strong emphasis on user privacy. It blocks spy pixels and prevents senders from knowing when, where, and if emails are opened.
  • Clean Interface
    The user interface of HEY is minimalist and designed to reduce clutter, helping users focus on important emails.
  • Innovative Features
    HEY offers unique features like the Screener, which allows users to vet new senders, and The Feed, which collects all newsletters for easy reading.
  • Unified Platform
    Everything in HEY happens within a single, unified platform, eliminating the need for multiple email clients or add-ons.

Possible disadvantages

  • Cost
    HEY is a paid service with a yearly subscription fee, which could be a deterrent for users accustomed to free email services.
  • Limited Integration
    Compared to other email services, HEY has limited third-party integrations which might be a downside for users who rely on external apps.
  • Learning Curve
    The unique approach and innovative features may require some time to get used to, especially for users who are accustomed to traditional email systems.
  • Lack of Local Email Client Support
    HEY does not support traditional email protocols like IMAP or SMTP, meaning users cannot use it with their favorite local email clients.
  • 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

  • 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

An editorial look at what each product does well and who it suits.

HEY
Plotly

Overall verdict

  • Overall, HEY is generally regarded as a positive option for those seeking a fresh take on email management with strong privacy features. However, it may not be ideal for everyone, as it requires a subscription fee and may lack some of the advanced features offered by more established email services.

Why this product is good

  • HEY is considered good due to its emphasis on privacy, simplicity, and unique approaches to email management. The platform offers features such as the Screener, which helps filter emails from new senders; Focus & Reply, which simplifies the inbox by delaying some emails; and attachment management systems that improve overall user experience. Furthermore, HEY takes a strong stance against ad tracking and prioritizes user privacy.

Recommended for

  • Individuals who prioritize privacy and are concerned about ad tracking.
  • Users who prefer a minimalistic and streamlined email interface.
  • Those who are willing to pay a subscription fee for enhanced privacy and unique features.
  • People looking for a new way to manage their emails and are open to adapting to a different email organization system.

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.

Videos

Walkthroughs and reviews on video.

HEY 5 videos + Add
Plotly 5 videos + Add

Hey Review: Why this $99 per year email is Superhuman's Most Exciting Challenger | Keep Productive

More videos

  • - All You Need to Know About Hey.com
  • - HEY Email Review (and Full Tour)!
  • - HEY.com changed the way I email…
  • - Why are Hey Dudes suddenly everywhere?

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos

  • - Introducing plotly.py 3.0
  • - Is Plotly The Better Matplotlib?
  • - Plotly Tutorial 2021
  • - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
HEY
Plotly
100% 100%
Email
0% 0%
0% 0%
Data Visualization
100% 100%
100% 100%
Email Clients
0% 0%
0% 0%
Charting Libraries
100% 100%

User comments

Share your experience with using HEY and Plotly. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

HEY no reviews yet
Plotly no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

HEY 24 mentions
Plotly 34 mentions
  • How Solid Queue Became the Rails 8 default, and More on Open Source Maintainership
    Seven gems to manage background jobs. The team looked at what they were running and said "this can't be right." That became the brief for Solid Queue. Rosa got picked for the project, built it in production at Hey first, iterated on it... - Source: dev.to / 3 months ago
  • The death of cloud centralization: Last decade’s internet had a gravity problem
    Basecamp: After using clouds from both Amazon and Google extensively over the past 15 years, we finally had enough of the outrageous bills and the ever-increasing complexity. So in 2023, we pulled Basecamp, HEY, and five other heritage... - Source: dev.to / about 1 year ago
  • From React to Hotwire - Part II - [EN]
    Attending the latest edition of Rails World and watching the talk by DHH made me realize that generating views on the backend with Rails was no longer synonymous with slow, ugly interfaces that do not care about UX. With Hotwire, through... - Source: dev.to / over 2 years ago

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Alternatives to HEY and Plotly

When comparing HEY and Plotly, you can also consider the following products.

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