Browse free open source FinOps tools and projects below. Use the toggles on the left to filter open source FinOps tools by OS, license, language, programming language, and project status.
Metering and Billing for AI, API and DevOps
Cloud cost estimates for Terraform in pull requests
Finala is an open-source resource cloud scanner
See cost estimates for Terraform right in your editor
Cloud environment inspector
The open-source policy-as-code software that provides analysis
Crane is a FinOps Platform for Cloud Resource Analytics and Economics
Cost monitoring for Kubernetes workloads and cloud costs
Command Line Interface tool for Cloud Intelligence Dashboards
FinOps and MLOps platform to run ML/AI and regular cloud workloads
CLI tool to perform cost analysis on your Azure subscription
The batteries-included, No-Code FinOps automation platform
In-depth explanation of cloud native related technologies
Set of guides meant to help explain often-times complex pricing
Amazon EC2 instance comparison site
SkyPilot: Run AI and batch jobs on any infra
Open source FinOps tools help organizations track, analyze, and optimize cloud spending, with the underlying code made publicly available for anyone to inspect, modify, or contribute to. As businesses increasingly rely on usage based cloud pricing, these tools give engineering and finance teams a way to monitor costs in detail without depending on a closed, proprietary system. Because the code is open, organizations can customize these tools to fit their specific cloud environment and reporting needs.
Most of these tools work by connecting to cloud provider billing data and infrastructure metrics, breaking down spending by service, team, or project so organizations can see exactly where costs are coming from. Many include dashboards that visualize spending trends over time, along with features that help identify underused or inefficiently configured resources. Because the community can contribute directly to the codebase, support for additional cloud providers or new cost tracking features often expands more quickly than with a single closed vendor.
These tools are used primarily by engineering, platform, and finance teams working together to manage cloud costs across an organization. Businesses running significant workloads in the cloud, particularly those with multiple teams or projects contributing to overall spend, often turn to this category of tools to gain detailed, transparent visibility into where their cloud budget is actually going.
Because this software is freely available, there is typically no direct licensing fee involved in downloading or using it. Organizations can implement these tools without adding to their software budget, which makes them an appealing option for teams looking to gain cost visibility without increasing overall spending. Any costs associated with using these tools generally come from the internal engineering time required for setup and maintenance rather than a direct purchase price.
That said, organizations should account for the infrastructure needed to host and run these tools, along with the time required to properly configure integrations with cloud billing systems. Some projects offer optional paid support or hosted versions for organizations that prefer not to manage the infrastructure themselves, though the core software remains free to use.
This type of software commonly connects with cloud provider billing application programming interfaces to pull detailed usage and cost data directly into the platform. Kubernetes and container orchestration systems are a frequent integration point, particularly for tools focused on tracking spending within containerized environments. Monitoring and observability platforms often integrate as well, allowing cost data to be viewed alongside broader infrastructure performance metrics. Alerting and communication tools are commonly linked so teams receive notifications when spending anomalies or budget thresholds are detected. Business intelligence tools sometimes connect as well, allowing cost data to be incorporated into broader organizational reporting used outside of technical teams.
Choosing the right tool starts with confirming compatibility with the specific cloud providers and infrastructure already in use, since coverage can vary significantly between different tools. Organizations should consider how actively a project is maintained, since ongoing development often determines how quickly new features and provider support become available. Ease of setup and configuration matters as well, particularly for teams without extensive infrastructure engineering resources. Reviewing available documentation and community support can make a meaningful difference when troubleshooting integration issues. Finally, organizations should confirm whether self hosting requirements align with their existing infrastructure and internal capacity to maintain the tool over time.