
Trakt.tv
Simkl
Letterboxd
Next Episode
SeriesGuide
Series Reminder
TV Time
Complete TV Guide and listing for all of your favorite shows!

D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Low-Code Data Apps
Which is more popular?
Based on our record, Plotly should be more popular than Episode Calendar. It has been mentioned 34 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | episodecalendar.com | plotly.com |
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What each product offers, as listed by its team.


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


No analysis of Episode Calendar yet.
Overall verdict
Why this product is good
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.
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Create Real-time Chart with Javascript | Plotly.js Tutorial
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How often each product is chosen within a category, 0–100% relative to the other.


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


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


For TV, I use episodecalendar.com, been using it since 2013 I believe. It works pretty well in my experience. I do pay the 12EUR annually, for no limit on number of shows to follow (and to support). It gets its data from TVDB, so... Source: over 3 years ago
I personally use episodecalendar.com. Source: over 3 years ago
It only covers TV, not movies, but I love Episode Calendar. Good for tracking both current and past shows. In fact, I just glanced at it and it let me know that the new season of American Horror Story starts today, which I'd forgotten... Source: almost 4 years ago
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 / 7 months ago
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
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... - Source: dev.to / over 1 year ago
When comparing Episode Calendar and Plotly, you can also consider the following products.

Automatically track TV shows & movies you're watching.
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D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
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Simkl is a TV, anime, and movie tracker that keeps a history of all the shows and movies you watch in one, central location. It’s a mobile app, a website, Google Chrome extension to keep track of everything you watch and integrates with many TV apps
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RAWGraphs is an open source app built with the goal of making the visualization of complex data...
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Letterboxd is a social site for sharing your taste in film, now in public beta.
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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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