MLflow EasyAuth
Deploy MLflow with HTTP basic auth using Docker
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is MLflow EasyAuth?
MLflow EasyAuth simplifies the deployment of MLflow with HTTP basic authentication by leveraging Docker, making it easier to secure your machine learning experiments and models.
Key differentiator
“MLflow EasyAuth offers a straightforward way to secure MLflow with HTTP basic authentication, making it an ideal choice for teams looking to quickly add a layer of security without the overhead of complex setup processes.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The official documentation lacks detailed examples and explanations for complex setups beyond basic authentication.
Requires a fully functional Docker environment, which may not be available or easily manageable in all enterprise settings.
Basic auth can expose credentials over the network and does not support modern security practices like OAuth2 or JWT tokens.
The open-source project has a relatively small number of contributors, which could slow down issue resolution and feature development.
Fit analysis
Who is it for?
✓ Best for
Teams needing quick and secure deployment of MLflow for internal use
Developers who want to add basic authentication without complex setup
✕ Not a fit for
Projects requiring advanced security features beyond HTTP basic auth
Large-scale deployments where more robust authentication mechanisms are needed
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 MLflow EasyAuth
Step-by-step setup guide with code examples and common gotchas.