igel
Train and use ML models without writing code.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is igel?
Igel is a delightful machine learning tool that allows users to train, test, and utilize models without the need for coding. It simplifies the process of working with machine learning for those who may not have extensive programming experience.
Key differentiator
“Igel stands out as a no-code solution, making it unique in its approach to simplifying machine learning tasks for users without programming experience.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Primary development and API are centered around Python, with no official support for other languages.
Documentation lacks step-by-step guides for setting up the environment from scratch.
Known performance bottlenecks when processing datasets larger than 1GB.
Low number of contributors on the GitHub repository and limited activity in forums or Q&A sites.
Fit analysis
Who is it for?
✓ Best for
Educators looking for a no-code solution to teach ML concepts.
Individuals or teams without extensive programming knowledge but with an interest in using ML models.
Rapid prototyping of simple ML solutions where coding is not preferred.
✕ Not a fit for
Developers requiring fine-grained control over model training and testing processes.
Complex machine learning projects that need customization beyond the provided features.
Teams preferring cloud-based or managed services for their ML needs.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with igel
Step-by-step setup guide with code examples and common gotchas.