Ssm Python Packages

cdk-sops-secrets

CDK Construct that syncs your sops secrets into AWS SecretsManager secrets.

himl

A hierarchical yaml config in Python

ssm-starter

Loads AWS SSM Parameter Store parameters into local system environment variables and then executes your application.

ssm-diff

A human-friendly way of managing parameters in AWS SSM

tha-aws-runner

A Tabular Helper API library that wraps common AWS services (DynamoDB, S3, SSM) with a typed, consistent interface built on boto3.

secret-keeper

Manage your application secrets safe & easy

aws-ssm-bridge

A Rust library implementing the AWS Systems Manager (SSM) Session Manager protocol with Python bindings.

smcx

Sequential inference for state-space models in JAX: Kalman-family filters and smoothers, and SMC methods including particle filters, tempered SMC, and SMC².

awspub

AWS EC2 image publication tool

ssmenv

SSMEnv allows you to read parameters from AWS Parameter Store and operate on results as on dictionary.

torchmamba

Clean PyTorch reference kernels for Mamba-1/2/3 (S6, SSD, SISO, MIMO) — parity with paper math

alma-cdk-cross-region-parameter

Store SSM Parameter into another AWS Region with AWS CDK

cloudsnake

Wrapping some useful AWS cli commands to operate some services like EC2, SSO and more

cdk-ssm-document

AWS CDK L3 construct for managing SSM Documents - DEPRECATED

tracetorch

A strict, ergonomic, and powerful library for SNNs, RNNs, and SSMs in PyTorch.

deeptab

DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

mambular

DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

fuzzy-secret-stdout

Small utility to fuzzy search from a secret store and print the value to stdout

baysil

Bayesian Sequential Inference Library for State-Space Models

cdk-ssm-secure-iam-access-key

Creates an IAM Access Key for a provided IAM User and stores the result in an SSM SecureString Parameter

secrets-cache

In-memory caching for AWS Secrets Manager / SSM in Lambda, with optional file-based cache for local use.

env-resolver

Utility for resolving SSM Parameters and Secretsmanager Secrets

vision-mamba

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

mamba-ssm-macos

(Unofficial) Mamba and Mamba 2 SSM implementation on Apple Silicon.