AI · alternatives · 2026

24 alternatives to Lightly

Improve your machine learning models by using the right data

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Lightly launched in 2021; newer entries below may have overtaken it.

1
Data Labeling Platform▲239
Manage your computer vision data labeling
2024 · its alternatives →
2
Label Studio 1.8.0 Release▲185
Open source data labelling platform for AI model tuning
2023 · its alternatives →
3AA
Autolabel, a Python library to label and enrich text data with LLMs▲153
Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
2023 · github.com · its alternatives →
4
Roboflow Universe▲237
Pre-trained computer vision models and public datasets
2021 · its alternatives →
5
Amazon Machine Learning ▲211
Machine learning made easy for developers of any skill level
2015 · its alternatives →
6
Mindkosh AI▲71
Because labeling your data should not be rocket science.
2022 · its alternatives →
7
Annot8▲140
The fastest way to tag images for object detection datasets
2025 · apps.apple.com · its alternatives →
8
MonkeyLearn 3.0▲373
Get actionable data from text with machine learning
2018 · its alternatives →
9
Weights & Biases▲110
Developer tools for deep learning & machine learning
2019 · its alternatives →
10
MindsDB▲235
In-database machine learning
2022 · its alternatives →
11
Python Machine Learning▲80
Learning machine learning has never been easier
2017 · its alternatives →
12
Comet.ml▲208
Automatically track machine learning code and experiments
2018 · its alternatives →
13
FiftyOne▲75
Accelerate your machine learning experimentation
2020 · its alternatives →
14AL
A labelling tool to easily extract and label Wikipedia data▲116
Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better…
2021 · its alternatives →
15
Datasaur▲90
Manage your entire data labeling workflow with a single tool
2020 · its alternatives →
16
Viable 2.0 - Generative Analysis▲193
AI analysis for people with too much data & not enough time
2023 · its alternatives →
17
Project Sandman▲78
Build better machine learning models
2020 · its alternatives →
18
ML Test Score Quiz▲85
Quiz to rate the health of your production ML system
2021 · its alternatives →
19
onetask▲100
Labeled AI training data in hours, 100k+ in one afternoon
2021 · its alternatives →
20
Semiring AI▲94
Create powerful ML models from 5 data samples
2023 · its alternatives →
21ML
Machine learning cheat sheet▲166
2011 · eferm.com · its alternatives →
22
Dashup▲92
Label data quickly with AI
2021 · its alternatives →
23
protonAutoML▲108
No-code AI predictions at one-click
2021 · its alternatives →
24
QuickAI▲80
Quickly experiment with state-of-the-art ML models
2021 · 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 →