Moom is recommended for Mac users who often work with multiple windows and need a better way to organize their desktop space. It's ideal for professionals, productivity enthusiasts, and anyone who values streamlined workflows when managing numerous applications simultaneously.
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, Moom should be more popular than Plotly. It has been mentiond 67 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.
We may actually be seeing the moment where Moom[1] is no longer an essential OS X app. It can solve both window tiling and the "maximize problem" on mac and has been my first install for many years. Here's to hoping that Apple can get one basic OS feature right once. [1] https://manytricks.com/moom/. - Source: Hacker News / 9 months ago
Moom⁽¹⁾ offers the ability to save and restore window layouts, including triggering saved layouts on addition or removal of displays. ⁽¹⁾https://manytricks.com/moom/. - Source: Hacker News / 10 months ago
Most of the time, I don’t. It sounds silly but macOS window management works best when you don’t micromanage and just let windows pile up at whichever size fits their content, kind of like papers on a desk. Instead I group windows by virtual desktop (space) on two monitors, switching out virtual desktops to mix and match sets of windows. Individual windows are rarely moved or resized. On the odd occasion I need... - Source: Hacker News / over 1 year ago
I similarly find something like Yabai a bit too heavy-handed for my needs, and instead prefer Moom[0]. I find that only need tiling occasionally, and for that Moom excels since it doesn’t add any new key shortcuts to memorize and is only ever visibly present when hovering your cursor over a window’s green button. Its Aero Snap equivalent is optional and turned off by default too, which is great for me (I trigger... - Source: Hacker News / over 1 year ago
I ended up using Moom [1] to work around some of the oddities of macOS window management. It's relatively low-feature, mostly for window arrangements and sizing. I use it on a vertical monitor to split window placement horizontally, since macOS can only natively do vertical splits. It has other features too (like saving layouts and keyboard shortcuts), but I don't use them that much. 1. https://manytricks.com/moom/. - Source: Hacker News / almost 2 years 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 / 2 months 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 / 4 months 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 / 6 months 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 / 12 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
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