openfinops 0.3.0

Open Source FinOps Platform for AI/ML Cost Observability with Intelligent LLM-Powered Recommendations

OpenFinOps

Open-source FinOps telemetry and cost observability for AI/ML and cloud.

Status

The project is preparing a proposal for incubation at the Apache Software Foundation (ASF).

License

Apache License 2.0

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Overview

OpenFinOps is a comprehensive platform for tracking, analyzing, and optimizing costs across AI/ML infrastructure and multi-cloud environments. It provides real-time visibility into LLM training costs, RAG pipeline monitoring, and cloud resource utilization.

Key Features

• AI/ML Cost Tracking: Monitor GPU utilization, training jobs, and inference costs
• Multi-Cloud Support: Unified view across AWS, Azure, and GCP
• FinOps-as-Code: Terraform provider for infrastructure management
• SaaS License Management: Track and optimize SaaS spending
• Executive Dashboards: Role-based views for CFO, COO, and Infrastructure Leaders
• AI-Powered Optimization: Intelligent cost-saving recommendations

Quick Start

# Install from source
git clone https://github.com/rdmurugan/openFinOps.git
cd openFinOps
pip install -e .

# Start the dashboard
openfinops-dashboard

Documentation

• 2025 Roadmap - Strategic initiatives and features
• Completed Features - Implementation status
• Contributing Guide - How to contribute

Architecture

OpenFinOps uses an agent-based architecture for automatic cost tracking:

• Telemetry Agents: Deployed in cloud accounts to discover resources and calculate costs
• Observability Hub: Central hub for receiving and processing telemetry data
• Cost Observatory: Cost aggregation, budgets, and alerts
• Dashboards: Role-based executive dashboards

Community

• GitHub Issues: Report bugs or request features
• Email: [e-mail]

Acknowledgments

OpenFinOps is built with inspiration from the FinOps Foundation principles and best practices from the cloud cost optimization community.

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Made with ❤️ by the OpenFinOps community