Thampi
Machine Learning Prediction System on AWS Lambda
Pricing
Free tier
Usage-based
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Thampi?
Thampi is an open-source machine learning prediction system that leverages AWS Lambda for serverless computing, enabling efficient and scalable deployment of ML models.
Key differentiator
“Thampi stands out by providing a streamlined way to deploy machine learning models on AWS Lambda, focusing on scalability and cost-efficiency without the need for server management.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary development and documentation focus on Python, other languages have community-maintained SDKs with limited features
Deep integration with AWS Lambda and other AWS services makes it challenging to migrate to another cloud provider or on-premises solution
Fit analysis
Who is it for?
✓ Best for
Teams looking to deploy machine learning models in a serverless environment without managing infrastructure.
Projects that require scalable and cost-efficient deployment of ML models on AWS.
✕ Not a fit for
Developers who prefer self-hosted solutions or local deployments over cloud services.
Use cases requiring real-time processing with strict latency requirements, as AWS Lambda has cold start times.
Cost structure
Pricing
Free Tier
Available
Open source - free to use
Starts at
$0
Model
Usage-based
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Next step
Get Started with Thampi
Step-by-step setup guide with code examples and common gotchas.