Software Alternatives & Reviews

Dioptra VS Aquarium

Compare Dioptra VS Aquarium and see what are their differences

Dioptra logo Dioptra

Dioptra is a data centric platform to automate continuous model improvement.

Aquarium logo Aquarium

Improve ML models by improving datasets they’re trained on
  • Dioptra Landing page
    Landing page //
    2023-07-20
  • Aquarium Landing page
    Landing page //
    2023-09-26

Dioptra videos

Dioptra Tutorial

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!

Category Popularity

0-100% (relative to Dioptra and Aquarium)
Developer Tools
29 29%
71% 71
AI
29 29%
71% 71
Analytics
100 100%
0% 0
APIs
0 0%
100% 100

User comments

Share your experience with using Dioptra and Aquarium. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Aquarium should be more popular than Dioptra. It has been mentiond 2 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.

Dioptra mentions (1)

  • Show HN: Open-source vector+data lake to debug, curate and version AI data
    Hi HN! I’m Farah, co-founder of [Dioptra.ai](https://dioptra.ai/) this week and wanted to get your take. Katiml is a vector+data lake to debug, curate and version AI data. With katiML, teams avoid the “garbage in, garbage out” effect by taking control over the quality of their data. They quickly and effectively curate high quality data for training, fine-tuning, and fixing hallucinations and edge cases. Features... - Source: Hacker News / 11 months ago

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

What are some alternatives?

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

Pretrained AI - Integrate pretrained machine learning models in minutes.

Scale Nucleus - The mission control for your ML data

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

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

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

Evidently AI - Open-source monitoring for machine learning models