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  2. Kobra
  3. Alternatives
The best alternatives to Kobra are Noodl, Niomatic Visual Platform, and mlblocks. If these 3 options don't work for you, we've listed over 10 alternatives below.
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Best alternatives to Kobra
  • Noodl is a a low-code to no-code platform, built to empower developers and designers to significantly accelerate the development of web-based technologies and provide a workflow that better supports delivering great user experiences.
  • Niomatic is a comprehensive solution which makes it possible to develop zero-code / enterprise-grade Apps on the mobile and desktop OS.
  • As students in high school, we realised that even though it is amazing, machine learning is really difficult to implement into projects. To remove the hassle we faced ourselves, we created MLBlocks. -Train models with only 50 images per class -Create them without expensive GPUs -Deploy on any platform through our API -NO CODE REQUIRED
  • A visual programming language for media
  • All-in-one platform for massive-scale automated and collaborative data labeling. Ango Hub combines the best of automation & collaboration into a plugin based architecture. Annotate and manage all of your unstructured data with AI assistance and custom plugins.
  • Verse™ is a visual programming IDE that provides developers with the ability to use the full range of programming concepts and functionalities using a graph-based interface.
  • A no-code machine learning platform built to unleash the power of computer vision and automation. It's a smart, scalable, cost-effective ML API as a service platform that trains and integrates state-of-the-art machine learning and deep learning.
  • Sourcegraph 4.0 is the code intelligence platform for devs to unblock themselves and code better. We've spent nine years building the underlying foundation of code search to be fast, secure, and scalable across ~10^11 lines of code.
  • Labeling AI is a deep learning-based technology that automatically labels (annotates) large amounts of data based on a small amount of pre-labeled data available, with minimal human intervention required only to review the final result.
  • An automated machine learning application on cloud Machine learning for non data scientists! Please ask for your demo. Web Site: https://www.klassifier.com LinkedIn: https://www.linkedin.com/showcase/klassifier/ Youtube: YouTubeLink
  • Kangas is an open source library for exploring, analyzing, and visualizing large-scale multimedia data. Don't write 100 lines of boilerplate code just to view an image in your notebook—just run kangas.DataGrid.show() and start exploring your data.
  • You craft the app, we create its demo link.
  • Since launching in 2006, Amazon Web Services has been providing world-leading cloud technologies that help any organization and any individual build solutions to transform industries, communities, and lives for the better. As part of Amazon, we strive to be Earth’s most customer-centric company. We work backwards from our customers’ problems to provide them with cloud infrastructure that meets their needs, so they can reinvent continuously and push through barriers of what people thought was possible. Whether they are entrepreneurs launching new businesses, established companies reinventing themselves, non-profits working to advance their missions, or governments and cities seeking to serve their citizens more effectively—our customers trust AWS with their livelihoods, their goals, their ideas, and their data.