Thampi

What it is

Thampi is an open-source machine learning prediction system that leverages AWS Lambda for serverless computing, enabling efficient and scalable deployment of ML models.

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.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited language support beyond Python

   Primary development and documentation focus on Python, other languages have community-maintained SDKs with limited features

2. 02

   Vendor lock-in to AWS services

   Deep integration with AWS Lambda and other AWS services makes it challenging to migrate to another cloud provider or on-premises solution

What it does well

• Serverless architecture using AWS Lambda for scalability and cost-efficiency.

• Automated deployment of machine learning models on AWS infrastructure.

• Integration with various AWS services for data processing and storage.

Pricing

Free tier

YesOpen source - free to use

Paid from

$0

Model

Usage-based

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.