Hands on labs and code to help you learn, measure, and build using architectural best practices.
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.
Programmatically delete AWS resources based on an allowlist and time to live (TTL) settings
An open source solution for cost management of cloud and hybrid cloud environments.
An MCP (Model Context Protocol) server that brings powerful AWS FinOps capabilities directly into your AI assistant. Analyze cloud costs, audit for waste, and get budget insights using natural language, all while keeping your credentials secure on your local machine.
MCP server for understanding AWS spend
Forecast Lambda functions costs 💰
The implementation of "Leeroo Orchestrator: Elevating LLMs Performance Through Model Integration"
A tool to efficiently tune serverless functions
RDS Extended Support Cost Estimator Script
Export OpenCost data in parquet format
The open-source solution that helps SaaS owners track and optimize their AI costs.
A centralized registry for discovering and managing LLM model capabilities. Track model features, costs, and limitations across providers like OpenAI, Anthropic and other open source models. Supports both verified model definitions and user-managed entries with local storage.
Reliably keep databases stopped when not needed, to save money
Cloud invoice optimization tool
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