Refine
PocketBlocks
ToolJet
Blitz.js
Appsmith
React Admin
Budibase
Jumpsuit
Neuro
Lobe
mlblocks
Machine Learning Playground
Opta
Banana.dev
Amazon Machine Learning
Pretrained AI
Refine is a meta React framework that enables the rapid development of a wide range of web applications. From internal tools, admin panels, B2B apps and dashboards, it serves as a comprehensive solution for building any type of CRUD applications.
It's internal hooks and components simplifies the development process and eliminates the repetitive tasks by providing industry-standard solutions for crucial aspects of a project, including authentication, access control, routing, networking, state management, and i18n.
Refine is headless by design and offers unlimited styling and customization possibilities, empowering developers to create tailored and fully functional applications that meet specific project requirements.
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Refine's answer
Refine's unparalleled flexibility with data providers makes it a unique choice. Whether you're integrating with REST, GraphQL, or any other data source, Refine streamlines the process.
Another defining feature is its built-in UI integrations. This means you can create polished and responsive user interfaces with ease. Plus, with a thriving community and extensive developer support, you're never alone when using Refine.
Refine simplifies data management and CRUD operations, allowing you to focus on building your application's core functionality. Its robust security features and authentication support ensure your data is protected.
What truly sets Refine apart is its headless architecture. This design philosophy empowers you to customize every aspect of your application, giving you complete control over its look and feel.
Real-time capabilities are another standout feature. This means you can easily incorporate live updates and collaboration features into your apps.
With comprehensive documentation and tutorials, getting started and mastering Refine is a straightforward process. The active open-source community ensures regular updates and improvements.
Refine is suitable for projects of enterprise-level solutions. Its scalability makes it a versatile choice for developers and organizations alike.
Refine's answer
It provides a headless architecture, giving developers complete freedom to customize the frontend using any UI library or framework, which is not always the case with other solutions.
Secondly, Refine's data provider support is extensive, with a wide range of options, making it easier to integrate with various backends. Additionally, it has a rapidly growing community and extensive documentation, ensuring excellent support and resources for users. The real-time features, along with built-in UI integration for popular libraries, simplify complex tasks.
Refine is backed by an active development team that regularly releases updates and improvements. In summary, Refine offers flexibility, comprehensive support, and a strong community, making it a compelling choice in the competitive landscape of web application development frameworks.
Refine's answer
Refine's primary audience consists of developers and teams who are focused on building Enterprise web applications, particularly those in need of admin panels, internal tools, or dashboards. Refine can be use for any type of CRUD apps.
These developers typically have a background in Typescript and React and are looking for a framework that provides flexibility, extensibility, and efficiency in building data-centric applications.
Refine is popular among enterprises and businesses that require scalable and maintainable solutions for their data management needs.
Based on our record, Refine should be more popular than Neuro. It has been mentiond 37 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.
Refine.dev is a very powerful and popular React-based framework for building web apps with less code. It focuses on providing high-level components and hooks to cover common use cases like authentication, authorization, and CRUD. One of the main reasons for its popularity is that it allows easy integration with many different kinds of backend systems via a flexible adapter design. - Source: dev.to / about 1 month ago
We currently using https://refine.dev/ with NextJS and Material UI for a CRUD type project. How would you compare yourself to Refine? - Source: Hacker News / 3 months ago
Yes, you can bootstrap minimal complete CRUD app with authentication in 1 minute with refine - React framework app scaffolder. It gives the source code as well https://refine.dev/#playground. - Source: Hacker News / 8 months ago
Const help = { name: "help", keyCommand: "help", buttonProps: { "aria-label": "insert help" }, icon: ( - Source: dev.to / 8 months ago
Refine seamlessly integrates with any custom designs or UI frameworks, and its headless architecture facilitates the use of well-known CSS frameworks such as TailwindCSS or the creation of entirely original styles. - Source: dev.to / 9 months ago
Projects are definitely the best way to learn models. Build things for fun that do things in topics/fields that you care about or think is cool. a few years ago when I was getting into ML stuff I build fantasy football things that weren't even useful but provided an actual use case. Then I did more complicated stuff with photography and lighting because I did real estate photography. As far as ML libraries go,... Source: almost 3 years ago
So far I’ve seen AWS Sagemaker kind of allows for a situation like this, but would rather not deal with all that config. Algorithmia and Nuclio are too enterprise focused. Neuro is new and looks great, but from my understanding I would still need to create a lambda instance myself that then calls neuro’s servers - too indirect. Is there a total solution out there for this? Source: about 3 years ago
A couple of weeks ago I put out a post on DeepSpeech running on the serverless setup at Neuro (https://getneuro.ai), and I've now got Silero running there as well. I've found this model is a lot faster than DS and way more accurate. Seeing around 300ms per request at the moment, hopefully will be closer to 100ms soon but this is a pretty decent speed in this application already. Source: over 3 years ago
I just made a streaming script connecting Deepspeech to serverless GPUs at Neuro (https://getneuro.ai). Was a fun piece of work, and cool to play around with. You can find the source here: https://github.com/neuro-ai-dev/npu_examples/tree/main/deepspeech. Source: over 3 years ago
PocketBlocks - In PocketBlocks, all you need to do is drag and drop pre-built or self-customized components onto the What-You-See-Is-What-You-Get (WYSIWYG) canvas to make an app, PocketBlocks helps you build an app quickly and focus on the business logic.
Lobe - Visual tool for building custom deep learning models
ToolJet - Open-source alternative for Retool
mlblocks - A no-code Machine Learning solution. Made by teenagers.
Blitz.js - Rails-like framework for React apps, built on Next.js
Machine Learning Playground - Breathtaking visuals for learning ML techniques.