Alternatives

Products that do what ScoopML does

An AI assistant for machine learning engineers

1
StackML▲252
Machine Learning platform in-browser, for creators
2019
2
ZenML▲84
Create reproducible machine learning pipelines
2020
3
Obviously AI AutoML▲276
The fastest, most precise no-code AI in the world.
2020
4
MakeML▲274
Train Neural Networks without a line of code
2019
5
Comet.ml▲208
Automatically track machine learning code and experiments
2018
6
Google CLOUD AUTOML▲93
Train custom ML models with minimum effort and expertise
2018
7
Pi▲164
The ML & Data Science toolkit; built for Software Engineers.
2025
8
Evidently AI▲299
Open-source monitoring for machine learning models
2021
9
Scraper AI▲190
Automate website data extraction in a few clicks
2020
10
MissingLink▲161
Deep learning automation for engineers
2018
11
Amazon Machine Learning ▲211
Machine learning made easy for developers of any skill level
2015
12
Scoopika▲127
Build gpt-4o level AI assistants for your app
2024
13
Paperspace for Machine Learning▲152
A Linux desktop in the cloud built for Machine Learning
2016
14RJ
RemoteML – Job Directory for Remote Machine Learning Positions▲99
2018 · remoteml.com
15
Datasaur▲90
Manage your entire data labeling workflow with a single tool
2020
16
Scoopika - TS packages▲104
Bring reliable AI virtual assistants to your app
2024
17
TensorPort▲143
Help teams apply machine learning to real-world applications
2017
18AL
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
19
BigML▲64
Machine learning as a service - build predictive apps
2014
20
OrchestraML▲82
From English prompt to deployed ML model with human approval
Jun 2026
21
CSML Playground▲137
Play with CSML, the programming language for chatbots
2021
22
Layer AI▲124
Metadata store for production ML
2022
23
protonAutoML▲108
No-code AI predictions at one-click
2021
24
Well Extract▲201
AI-powered receipt & invoice extraction for developers
2025

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