React Native Paper by Callstack
NativeBase
React Native UI Kitten
React Navigation
WithFrame
React Native Elements
Galio
Tailwind UI
Deepnote
Apache Zeppelin
Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Google BigQuery
GeoSpock
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Based on our record, Deepnote should be more popular than React Native Paper by Callstack. It has been mentiond 34 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.
Several UI libraries are available for React Native developers today. One of the most prominent is React Native Paper, a cross-platform material design for React Native. It is a collection of customizable and production-ready components for React Native, following Googleโs Material Design guidelines. With 30+ customizable components, it is a great choice to use with Material UI. - Source: dev.to / over 1 year ago
React Native Paper is a set of customizable and production-ready React Native components based on Google's Material Design specifications. It offers an option for integrating a Babel plugin, thereby minimizing its bundle size by eliminating modules that are not in use. Overall, React Native Paper is a popular choice for developers looking to create aesthetically pleasing user interfaces for React Native... - Source: dev.to / over 2 years ago
React Native Paper is a collection of customizable and production-ready components for React Native, following Googleโs Material Design guidelines. Global theming support and an optional babel plugin to reduce bundle size are also there. - Source: dev.to / over 3 years ago
Nothing exists that I'm aware of like bootstrap in that sense, especially because people are typically moving away from it. There are UI kits like react-native-paper and Tamagui that exports pre-styled components. Source: over 3 years ago
You don't name what kind of components you want to have all in one lib so I think react native paper is close to MUI visually. Source: over 3 years ago
Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this in the post but in my experience, the UX and features far behind what we've built already. I'd love to hear from anyone who's tried jupyter-ai to give us a shot and let me know... - Source: Hacker News / about 2 years ago
- https://deepnote.com -- also extensive AI integration and realtime collaboration. - Source: Hacker News / about 2 years ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / over 2 years ago
We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / about 3 years ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / over 3 years ago
NativeBase - Experience the awesomeness of React Native without the pain
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
React Native UI Kitten - Customizable and reusable react-native component kit
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
React Navigation - Description will go into a meta tag in <head />
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.