Aquarium VS Evidently AI

Aquarium

Improve ML models by improving datasets they’re trained on

Evidently AI

Open-source monitoring for machine learning models

Landing page //
2023-09-26

Landing page //
2023-08-19

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

Evidently AI videos

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How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

0-100% (relative to Aquarium and Evidently AI)

Evidently AI

Developer Tools

45 45%

Developer Tools

55% 55

AI

42 42%

AI

58% 58

APIs

100 100%

APIs

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

User comments

Share your experience with using Aquarium and Evidently AI. For example, how are they different and which one is better?

Social recommendations and mentions

Evidently AI 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

Evidently AI mentions (2)

[D] Using MLFlow for model performance tracking
It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago
Five Data Quality Tools You Should Know
Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago