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Looks great, how do you compare to other alternatives in the same space?
by helltone 6y ago
Looks great, how do you compare to other alternatives in the same space?
- lullibrulli2 6y agoWhat alternatives come to your mind? I'm looking for a solution like that and would love to get some insights.
- vsskanth 6y agostreamlit plotly dash
- shakedown1 6y agostreamlit.io is one that i've just finished trying, and find it easy to use.
- britbull 6y agoAnvil.works
- peterschmidt 6y agoHi, I'm Peter, a part of the team. There is quite a few solutions already that try to make it easy to make data applications with Python or R. The most relevant solutions include Plotly Dash, Shiny, Voila, Streamlit. All of them are great projects even though all of them are very different. Our project is an attempt to explore this area and figure out what would be a way to build these applications without having a need to do programming, CSS, HTML, or deployment. Basically, we want to make it possible to make data apps as simple as writing a few lines of code using only the libraries that data scientists already know - pandas, Matplotlib, scikit, Tensor, pytourch, etc. Ideally so you don't have to write your application code at all, and rather deploy your data science models and simply bind them with a simple UI logic. We believe the need to apply ML to enterprise use-cases will grow even more and tools like that will be very useful. Basically you'll be able to create an application that help your HR/Sales/Marketing/Product/<you name it> department to apply ML – in minutes, without the need to write this application, deploy or maintain.
- chrisweekly 6y ago"No-code FE for ML"? Sounds awesome to me.