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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


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

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

Acknowledgments

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


Made with ❤️ by the OpenFinOps community

Release files for openfinops 0.3.0

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Source distribution for openfinops 0.3.0
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openfinops-0.3.0-py3-none-any.whl Python 3 none any Details

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0.3.0 This release

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0.2.1

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0.1.5

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