AI · alternatives · 2026

24 alternatives to Aquarium

Improve ML models by improving datasets they’re trained on

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Aquarium launched in 2020; newer entries below may have overtaken it.

1
Roboflow Universe▲237
Pre-trained computer vision models and public datasets
2021 · universe.roboflow.com · its alternatives →
2
Data Labeling Platform▲239
Manage your computer vision data labeling
2024 · labelyourdata.com · its alternatives →
3
Lightly▲148
Improve your machine learning models by using the right data
2021 · lightly.ai · its alternatives →
4
Know Your Data▲121
Understand datasets & improve data quality, by Google PAIR
2021 · knowyourdata.withgoogle.com · its alternatives →
5
Weights & Biases▲110
Developer tools for deep learning & machine learning
2019 · wandb.ai · its alternatives →
6
I trained a deep learning model to build sites for me▲397
2019 · zecoda.com · its alternatives →
7CP
Curated, Pre-trained ML Models for Transfer Learning▲324
2018 · modeldepot.io · its alternatives →
8
Lobe 2.0▲483
Machine learning made easy
2020 · github.com · its alternatives →
9
MindsDB▲235
In-database machine learning
2022 · its alternatives →
10
WhatToLabel▲70
Improve your machine learning models by curating your data
2020 · its alternatives →
11
Aquarium – AI Controlled Containers▲157
Agents before they were cool. Contribute to fafrd/aquarium development by creating an account on GitHub.
2023 · github.com · its alternatives →
12DL
Deep Learning GUI to Create, Train and Visualize Models in a Browser▲216
2019 · beta.aifiddle.io · its alternatives →
13
Deep-ML▲13
We just launched Deep-ML Labs, a new section on Deep-ML Each Lab is a hands-on challenge where you implement parts of real models, activations, layers, optimizers, normalization, even small transformers — directly in PyTorch (and sometimes NumPy). You can test your implementations on actual datasets, see how your results compare to others, and understand what’s really happening under the hood of deep learning frameworks. let me know what you guys think and if we should work on making more of these questions
2025 · deep-ml.com · its alternatives →
14
Deepchecks Testing Package▲186
Open source tool for testing & validating your model & data
2022 · github.com · its alternatives →
15
Model Zoo▲74
Deploy your machine learning model in a single line of code.
2020 · its alternatives →
16
Google CLOUD AUTOML▲93
Train custom ML models with minimum effort and expertise
2018 · cloud.google.com · its alternatives →
17
Project Sandman▲78
Build better machine learning models
2020 · its alternatives →
18
ZenML▲84
Create reproducible machine learning pipelines
2020 · github.com · its alternatives →
19
ML Image Classifier▲97
Quickly train custom machine learning models in your browser
2018 · thekevinscott.github.io · its alternatives →
20
datagran▲130
Put ML pipelines into production, fast. Without coding
2019 · datagran.io · its alternatives →
21
DataTorch▲69
Build and share datasets to experiment with ML
2021 · datatorch.io · its alternatives →
22
ModelDepot▲108
Curated Machine Learning models to ⚡supercharge⚡your product
2018 · modeldepot.io · its alternatives →
23
ML Test Score Quiz▲85
Quiz to rate the health of your production ML system
2021 · its alternatives →
24
FiftyOne▲75
Accelerate your machine learning experimentation
2020 · docs.voxel51.com · its alternatives →

Also compare

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →