The best alternatives to Bifrost Data Search are Google, ML Showcase, and Monitor ML. If these 3 options don't work for you, we've listed over 10 alternatives below.
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Best alternatives to Bifrost Data Search
  • Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.
  • Every day, interesting machine learning projects get posted to GitHub, but they soon disappear into the abyss if you're not quick to bookmark them. I've created a small collection of ML projects that stood out to me from HN, reddit, and GitHub. Preference was given to open source projects witht an online demo. Let me know if I missed any!
  • Monitor ML tracks the performance of models throughout their lifecycle and connects them to business metrics. We support model tracking, metric logging/analysis/alerting and production event logging. You choose the framework, we monitor the model.
  • Democratizing data by building a universal source of data
  • Data Streams brings an e-commerce experience to the world of data. With Data Streams, anyone can easily search for data, purchase it, and quickly move it into their business systems. You're in control of the data you get and how much of it you want.
  • Imagery is a platform that hosts image datasets, and not just any datasets, but ones that you request. I want to democratise AI for the world, by making all types of datasets available for anyone to download.
  • Gorp redacts protected data like names, phone numbers, email addresses, faces and more from your images without ever sending anything over the network. Add extra areas it missed, and easily export a redacted image. Stay compliant and avoid costly leakages.
  • 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 notebookβ€”just run kangas.DataGrid.show() and start exploring your data.
  • Pandera is the open source framework for data testing, built for data scientists and ML engineers. It provides a simple, zero-configuration Python library to help you write complex schemas with ease and validate critical points of your pipeline in production.
  • ML Annotator aims to be the easiest way to annotate your ML data sets on iOS and Mac. Totally free and easy to use for your entire team.
  • AI Flow helps developers and small companies convert data into value through automated Machine Learning tools.
  • ZIR AI allows organizations to add ML-powered text search to their applications and platforms. Applying the latest research in neural networks and NLP, it returns results that keyword search misses, helping your customers find more relevant information.
  • Apple Inc. is an American multinational technology company headquartered in Cupertino, California, that designs, develops, and sells consumer electronics, computer software, and online services.