Top Rated Dash Alternatives
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I absolutely adore how user-friendly Dash is! It's so easy to get the hang of it and start creating interactive web apps. The fact that it's built on top of Python means I can use all the Python skills I already have, which is a huge plus. The visualizations are top-notch, and updating the data in real-time feels like magic. It's been a game-changer for sharing insights with my team. Plus, the community around Dash is super helpful whenever I run into a snag. Definitely a tool I'd recommend to anyone in data science. Review collected by and hosted on G2.com.
While I enjoy using Dash, I do find that the layout can be a bit restrictive at times. It's not always straightforward to achieve the exact look I want for my web apps, especially when I'm aiming for a very specific design. Also, when the apps start to get more complex, the performance can take a hit, which can be a bit frustrating. I've noticed it's not as optimized for mobile views right out of the box, so I have to put in extra effort to make my apps work smoothly on different devices. Review collected by and hosted on G2.com.
Video Reviews
35 out of 36 Total Reviews for Dash
Overall Review Sentiment for Dash
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Dash makes it simple to build beautiful visualization. I can create charts and dashboards using drag and drop without coding. Layout is attractive and easy use. italso support Sql for data processing making dashboards more efficient than other tools. Review collected by and hosted on G2.com.
I haven't noticed any drawbacls yet any issues have been quickly resolved. Review collected by and hosted on G2.com.
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Plotly Dash is by far the best and easiest way to create front-end web dashboards in Python. It is built on top of Flask (Python-based web server) as its back-end and React (Javascript-based framework) as its front-end. It uses a "component" based model that is intuitive and easy to pick up. Documentation is outstanding and there are many examples. Review collected by and hosted on G2.com.
Plotly Dash is a bit "bulky" and as such is a bit slow - renders of graphs with a lot of data can take a few seconds. Review collected by and hosted on G2.com.
It's easy to use, all in python, has strong support documentation and a strong community, it's growing, it's fast, and it allows me to create interactive data analytics tools that are highly customizable. Review collected by and hosted on G2.com.
Not much, I wish they had more video tutorials online. Review collected by and hosted on G2.com.
Probably you're used to Seaborn, Matplotlib, etc. Yeah, drop those and embrace Plotly & Dash. Review collected by and hosted on G2.com.
There's nothing to dislike. 10/10, Plotly is the best module for Python visualizations. Review collected by and hosted on G2.com.
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The intuitive framework allows novice web developers to create complex visualizations with familiar libraries. Review collected by and hosted on G2.com.
On our team, it is difficult to convince other members to work on our Dash projects. This is likely due to the learning curve that data scientists do not wish to undertake. Review collected by and hosted on G2.com.
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Plotly interactive charts rock. Flask integration is great. The charts are beautiful, and using Dash Bootstrap Components makes styling the user interface super-easy. Not having to learn JavaScript and React is incredible. Review collected by and hosted on G2.com.
Honestly, it's really awesome. There's really nothing bad I have to say about it. I would prefer if it were structured as a Flask extension since it's built on Flask, but that's about it. Review collected by and hosted on G2.com.
It just makes sense, looks great and is a lot of fun to work with.
And you have pretty much 100% of the features available as Open Source Review collected by and hosted on G2.com.
The only thing I dislike is that it isn't more widely used.
At least in my part of the world.
But I'm hoping that will change in the near future. Review collected by and hosted on G2.com.
Possibility to create interactive plots. Review collected by and hosted on G2.com.
At least first it is not very intuitive that how to make large apps with Dash; how to organize your code (components, views, callbacks, etc.). Review collected by and hosted on G2.com.