Python FinOps Tools

View 55 business solutions

Browse free open source Python FinOps Tools and projects below. Use the toggles on the left to filter open source Python FinOps Tools by OS, license, language, programming language, and project status.

  • Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum Knight Icon
    Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum Knight

    Lock Down Any Resource, Anywhere, Anytime

    CLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
    Learn More
  • HOA Software Icon
    HOA Software

    Smarter Community Management Starts Here

    Simplify HOA management with software that handles everything from financials to communication.
    Learn More
  • 1
    CUDOS Framework

    CUDOS Framework

    Command Line Interface tool for Cloud Intelligence Dashboards

    The AWS Cloud Intelligence Dashboards Framework is a set of open-source tools and templates designed to help organizations deploy and manage advanced data visualization dashboards that offer insights into cost, usage, governance, and operational health across AWS environments. It is part of the AWS Solutions Library and includes CloudFormation templates, CLI commands, and pre-built dashboards that collect, process, and visualize data from AWS billing, cost management, budgets, and usage reports in services such as Amazon QuickSight or other BI tools. These dashboards give finance and engineering teams the power to track spending trends, budget forecasts, account utilization patterns, and compliance signals in a unified view, enabling better governance and financial accountability at scale.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    OptScale

    OptScale

    FinOps and MLOps platform to run ML/AI and regular cloud workloads

    Run ML/AI or any type of workload with optimal performance and infrastructure cost. OptScale allows ML teams to multiply the number of ML/AI experiments running in parallel while efficiently managing and minimizing costs associated with cloud and infrastructure resources. OptScale MLOps capabilities include ML model leaderboards, performance bottleneck identification and optimization, bulk run of ML/AI experiments, experiment tracking, and more. The solution enables ML/AI engineers to run automated experiments based on datasets and hyperparameter conditions within the defined infrastructure budget. Certified FinOps solution with the best cloud cost optimization engine, providing rightsizing recommendations, Reserved Instances/Savings Plans, and dozens of other optimization scenarios. With OptScale, users get complete cloud resource usage transparency, anomaly detection, and extensive functionality to avoid budget overruns.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 3
    SkyPilot

    SkyPilot

    SkyPilot: Run AI and batch jobs on any infra

    SkyPilot is a framework for running AI and batch workloads on any infra, offering unified execution, high cost savings, and high GPU availability. Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next