Step Functions Workflows. Learn more at the website: https://serverlessland.com/workflows.
-
Updated
Aug 27, 2025 - Python
#
step-functions
Here are 51 public repositories matching this topic...
The elegance of Airflow + the power of AWS
-
Updated
Feb 5, 2024 - Python
Uncovering Hidden Connections in Unstructured Financial Data using Amazon Bedrock and Amazon Neptune
lambda api-gateway dynamodb s3 sqs ecs knowledge-graph cloudfront step-functions amazon-neptune amazon-textract generative-ai amazon-bedrock
-
Updated
Aug 13, 2025 - Python
Automated Amazon GuardDuty Security Response
-
Updated
Dec 23, 2024 - Python
CDK project to build AWS Serverless AI Agent with Lambda and Step Functions.
-
Updated
Sep 11, 2025 - Python
With Amazon Rekognition Custom Labels, you can easily build and deploy Machine Learning (ML) models to identify custom objects which are specific to your business domain in images without requiring advanced ML knowledge. When combined with Amazon Augmented AI (A2I), you can quickly integrate a ML workflow to capture and label images with a human…
lambda sns cognito rekognition step-functions parameter-store eventbridge rekognition-custom-labels augmented-ai a2i
-
Updated
Jul 20, 2022 - Python
A Numpy based step function library for analysis and profit. More than just taking you up and down.
-
Updated
Mar 21, 2021 - Python
A PoC application developed using Amazon Transcribe and Amazon Bedrock to capture knowledge.
-
Updated
Sep 5, 2025 - Python
lambda kms athena s3 sqs sns ecr step-functions location-service sagemaker fargate comprehend quicksight lookout-for-metrics
-
Updated
Aug 2, 2024 - Python
SFN-WDL infrastructure for pipeline execution - a template repository and Terraform module for SFN-WDL based projects
-
Updated
Apr 2, 2025 - Python
StepFunctions Demo -- Encrypt EBS volumes from AWS EC2 instances with a serverless StepFunctions machine
-
Updated
Aug 15, 2020 - Python
AWS services backup using Step functions
aws workflow lambda backup neo4j lambda-functions snapshot ec2-instance state-machines step-functions volume-snapshot-status
-
Updated
Jun 8, 2019 - Python
This project contains source code and supporting files for a serverless application which can be used for Computer Vision inferencing using Amazon Lookout for Vision
-
Updated
Apr 9, 2021 - Python
Take the pain away from defining and executing AWS Step Functions
-
Updated
Nov 20, 2019 - Python
Workflow management platforms comparison
-
Updated
May 8, 2023 - Python
test app that attempts to recreate concepts from actor model design patterns in AWS Lambda
aws lambda cloudformation aws-lambda serverless pipeline actor-model stateless aws-cloudformation aws-step-function step-functions
-
Updated
Apr 15, 2018 - Python
Work in progress. AWS-native serverless application that lets you share S3 files as easy as giving a public link, with any expiration date and optional self-destruction after one-time use.
-
Updated
Oct 11, 2019 - Python
A project demonstrating an ETL pipeline primarily using AWS infrastructure into a data warehouse
-
Updated
Sep 3, 2024 - Python
Orchestrating Cloud ETL Workloads
aws cloudformation apache-spark lambda-functions data-warehouse data-lake kinesis-stream redshift step-functions emr-cluster etl-pipeline redshift-spectrum
-
Updated
Sep 19, 2021 - Python
Parallel AI Book Generation Architecture - Generate complete books in under 5 minutes instead of 60-90 minutes using stateless parallel chapter generation with AWS Step Functions. A fundamental rethinking of how AI content generation should work at scale.
nlp open-source aws distributed-systems aws-lambda serverless parallel-computing artificial-intelligence content-automation parallel-processing step-functions architecture-pattern llm ai-content-generation book-generation
-
Updated
Jul 2, 2025 - Python
Improve this page
Add a description, image, and links to the step-functions topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the step-functions topic, visit your repo's landing page and select "manage topics."