Software Alternatives & Reviews

Aquarium VS Scale Nucleus

Compare Aquarium VS Scale Nucleus and see what are their differences

Aquarium logo Aquarium

Improve ML models by improving datasets they’re trained on

Scale Nucleus logo Scale Nucleus

The mission control for your ML data
  • Aquarium Landing page
    Landing page //
    2023-09-26
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20

Aquarium videos

What Happened To This PRO Aquarium Fish Keeper?! | Fish Tank Review 34

More videos:

  • Review - Petsmart Top Fin 5 Gallon Glass Aquarium $49.99 Unboxing Review!

Scale Nucleus videos

Using Scale Nucleus & Rapid to Label New Datasets Efficiently

More videos:

  • Review - Scale Nucleus: Send to Annotation
  • Review - Scale Nucleus: Find Missing Annotations

Category Popularity

0-100% (relative to Aquarium and Scale Nucleus)
Developer Tools
56 56%
44% 44
AI
55 55%
45% 45
APIs
52 52%
48% 48
Tech
57 57%
43% 43

User comments

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Social recommendations and mentions

Scale Nucleus might be a bit more popular than Aquarium. We know about 2 links to it since March 2021 and only 2 links to Aquarium. 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.

Aquarium mentions (2)

  • Ask HN: Who is hiring? (November 2021)
    Aquarium (https://aquariumlearning.com/) | Remote Only (North American Timezones) | Full Time Aquarium is an ML data management system that helps ML teams improve their models by improving their datasets. Aquarium uncovers problems in your dataset, then helps you edit or add data to fix these problems and optimize your model performance. We are looking for our first Product Manager and are also hiring for... - Source: Hacker News / over 2 years ago
  • ML Data Management — A Primer
    #ML is maturing and teams are less concerned about having enough #data, but rather having the right data. ML data management tooling helps improve ML models by improving datasets. Check out our piece below that discusses trends in the space and startups like aquariumlearning.com, Tryunbox.ai, Lightly.ai, Scale, and Labelbox. https://medium.com/memory-leak/ml-data-management-a-primer-a635a5eac858. Source: over 2 years ago

Scale Nucleus mentions (2)

  • [Discussion] The most painful thing about machine learning
    At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
  • Unit Testing for Production ML Workflows?
    To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago

What are some alternatives?

When comparing Aquarium and Scale Nucleus, you can also consider the following products

PerceptiLabs - A tool to build your machine learning model at warp speed.

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

ML Image Classifier - Quickly train custom machine learning models in your browser

Google Cloud TPUs - Build and train machine learning models with Google

Monitor ML - Real-time production monitoring of ML models, made simple.

Prodigy - Radically efficient machine teaching