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JustWatch
PlotlyStreaming enthusiasts who subscribe to multiple services, viewers seeking to optimize their subscription choices, users interested in discovering new content across different platforms, and anyone who prefers a streamlined approach to managing their streaming options will find JustWatch beneficial.
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.
Based on our record, JustWatch should be more popular than Plotly. It has been mentiond 299 times since March 2021. 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.
This is nice! At first I thought it was wheel-reinvented https://justwatch.com, but unlike that site, this one shows you which services in each country have the content you're looking for, so that you can watch whatever you want, simply by traveling internationally, or by using a VPN. - Source: Hacker News / about 2 years ago
The fact that we need a justwatch.com is just one of the many reasons physical media will always be king. Even WB with their great collection of movies and subsidiaries can't keep their own content on their own streaming service all the time... Source: over 2 years ago
Check justwatch.com to see which services offer your content in HD. Source: over 2 years ago
Depends on where you live. Have a look on justwatch.com and it should point you in the right direction. Source: almost 3 years ago
Let's hear your picks for wintry movies/shows currently available on a free ad-supported streaming service. (The justwatch.com is handy for finding out which movies/shows are currently available on various free and paid streaming services.). Source: almost 3 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 / 4 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 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
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
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
Reelgood - Every streaming service in one place, from over 300 free and paid streaming services. Browse, track and watch all your TV shows and movies from one place.
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.
Trakt.tv - Automatically track TV shows & movies you're watching.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
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.