• Subscribe
    1. Products
    2. Aquarium
    3. Alternatives
    The best alternatives to Aquarium are Google Pixel, Stack Roboflow, and Prodigy. If these 3 options don't work for you, we've listed over 10 alternatives below.
    What do you think of Aquarium?
    AssemblyAI
    AssemblyAI Multilingual Speech-to-Text API with superhuman accuracy
    Promoted
    Best alternatives to Aquarium
    • This question does not exist. This is what happens when you train a language model on a data dump of Stack Overflow. Click "Fresh Question" to load a new one. Share the permalink if you find an interesting one!
    • Prodigy is a new annotation tool for creating training and evaluation data for machine learning models. It comes with an extensible, self-hosted back-end, active learning-powered models that update as you annotate, and a modern web application that helps you stay focused.
    • From the makers of Lucidchart and Lucidspark, Lucidscale is the cloud visualization solution that helps organizations see, understand and optimize cloud environments, enabling technical and non-technical users to achieve better understanding and alignment.
    • Content-aware image resizer based on Seam Carving algorithm
    • If you're looking for image datasets to use with this, check out https://www.producthunt.com/posts/download-image-datasets
    • integrate.ai is an MLOps platform that changes the way you share, access, and unlock value from data at scale. Our SDK enables you to easily deploy federated learning to build better machine learning models without sharing or pooling 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.
    • Save time and money in AI model development. Our marketplace uses the crowdsourced expertise of data scientists to empower anyone—be it a Hacker, Kaggler or Small/Medium Business—to build with AI using high-performing AI models, faster and cheaper than ever.
    • PerceptiLabs is a drag and drop visual modeling tool to build, train and tune your ML model, with a portal to actually see how your model works.
    • TextGen is a new service that allows you to train your own text generation ML models and then use them to generate text through a simple API with no AI knowledge required and at low price. You send us your text dataset, we train the model and serve it for you.
    • 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.
    • Running an ML model reliably and successfully in production is a whole set of challenges. It can be hard to measure if your team is doing enough. Take this quiz, based on Google's ML Test Score, to evaluate how you are doing and how to improve.
    • QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models. QuickAI can reduce what would take tens of lines of code into 1-2 lines. This makes fast experimentation very easy and clean.
    • PhotoFinder was developed with the goal of simplifying maintenance of an ever-increasing photo library. By using machine-learning and computer vision technologies, the software is able to find the best photos, but also the worst, the blurry and redundant.
    • 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.