nidhaloff/igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
This tool helps anyone, including non-programmers, quickly build and use machine learning models. You provide your data (like a spreadsheet, text, or images) and describe your goal (e.g., classification, regression) in a simple configuration file. The tool then outputs a trained model that can make predictions or find patterns in your data.
3,137 stars.
Use this if you need to quickly prototype or deploy a machine learning solution without writing code, especially if you have structured data, text, or images.
Not ideal if you need fine-grained control over every line of your machine learning pipeline and prefer to code everything yourself.
Stars
3,137
Forks
209
Language
Python
License
MIT
Category
Last pushed
Dec 07, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/nidhaloff/igel"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
treeverse/dvc
🦉 Data Versioning and ML Experiments
runpod/runpod-python
🐍 | Python library for RunPod API and serverless worker SDK.
microsoft/vscode-jupyter
VS Code Jupyter extension
4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing...
uber/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning...