knockknock
Get notified when your training ends with only two additional lines of code.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is knockknock?
Knockknock is a simple Python library that allows developers to get notifications when their machine learning model training completes. It requires minimal setup and can be integrated into existing projects easily, enhancing productivity by alerting users about the completion status.
Key differentiator
“Knockknock stands out as a lightweight, easy-to-integrate solution for getting notifications on the completion of ML training tasks without the need for complex setup or additional infrastructure.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Knockknock is primarily designed for Python, which restricts its usability in projects that use other languages.
The library only focuses on notifications upon completion of training tasks and lacks additional features like real-time monitoring or detailed performance metrics.
Being an open-source project with a small contributor base, it may have slower issue resolution and fewer resources for troubleshooting.
Fit analysis
Who is it for?
✓ Best for
Developers working on long-running ML experiments who need to be notified upon completion
Teams that require minimal setup and integration effort for training job notifications
✕ Not a fit for
Projects requiring real-time monitoring or continuous updates during the training process
Users looking for a comprehensive machine learning platform with built-in notification features
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
Alternatives
Works well with
Next step
Get Started with knockknock
Step-by-step setup guide with code examples and common gotchas.