AI · alternatives · 2026

24 alternatives to Lab: Track Machine Learning Experiments

Track and maintain ML Experiments with a few lines of code

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Lab: Track Machine Learning Experiments launched in 2019; newer entries below may have overtaken it.

1
Comet.ml▲208
Automatically track machine learning code and experiments
2018 · comet.com · its alternatives →
2
Best Tools for Tracking ML Experiments▲7
A collection of tools to manage and organize ML projects.
2020 · its alternatives →
3
Monitor ML▲171
Real-time production monitoring of ML models, made simple.
2019 · arize.com · its alternatives →
4
Replicate▲68
Version control for machine learning
2020 · its alternatives →
5
Weights & Biases▲110
Developer tools for deep learning & machine learning
2019 · wandb.ai · its alternatives →
6OM
Organize machine learning experiments▲20
2018 · blog.varunajayasiri.com · its alternatives →
7
DVC Extension for VS Code▲165
Track machine learning experiments right in your IDE
2023 · marketplace.visualstudio.com · its alternatives →
8
ML Showcase▲214
A curated collection of machine learning projects
2017 · its alternatives →
9
DVC Studio▲95
Machine Learning Experiments based on Git
2021 · studio.datachain.ai · its alternatives →
10
Data Labeling Platform▲239
Manage your computer vision data labeling
2024 · labelyourdata.com · its alternatives →
11
Igel – A CLI tool to run machine learning without writing code▲405
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
12
Layer AI▲124
Metadata store for production ML
2022 · layer.ai · its alternatives →
13
Papers with Code▲184
The latest in machine learning at your fingerprints
2019 · huggingface.co · its alternatives →
14
Mandala – Automatically save, query and version Python computations▲100
`mandala` is a framework I wrote to automate tracking ML experiments for my research. It differs from other experiment tracking tools by making persistence, query and versioning logic a generic part of the programming language itself, as opposed to an external logging tool you must learn and adapt to. The goal is to be able to write expressive computational code without thinking about persistence (like in an interactive session), and still have the full benefits of a versioned, queriable storage afterwards. Surprisingly, it turns out that this vision can pretty much be achieved with two…
2024 · github.com · its alternatives →
15
ML Visualization IDE▲92
Make powerful, interactive machine learning visualizations
2020 · wandb.ai · its alternatives →
16
Machine learning automation from creating to using models in production▲72
a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0
2021 · github.com · its alternatives →
17
Extension for VS Code to track ML experiments▲9
Extension for Visual Studio Code - Machine learning experiment management with tracking, plots, and data versioning.
2022 · marketplace.visualstudio.com · its alternatives →
18
Machine Box▲94
Run, deploy & scale state of the art machine learning tech
2017 · machinebox.io · its alternatives →
19
Model Zoo▲74
Deploy your machine learning model in a single line of code.
2020 · its alternatives →
20
Label Studio 1.8.0 Release▲185
Open source data labelling platform for AI model tuning
2023 · labelstud.io · its alternatives →
21
WhatToLabel▲70
Improve your machine learning models by curating your data
2020 · its alternatives →
22
Continuous Machine Learning – CI/CD for Machine Learning Projects▲171
Bring DevOps practices to your projects for automatic, reproducible, and fast machine learning.
2020 · cml.dev · its alternatives →
23
Machine Learning Experiments Organizer▲5
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱 - labmlai/labml
2019 · github.com · its alternatives →
24
Machine Learning Playground▲169
Breathtaking visuals for learning ML techniques.
2017 · ml-playground.com · its alternatives →

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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 →