Showing 3 open source projects for "custom-eclipse"

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    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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    Secure File Transfer for Windows with Cerberus by Redwood

    Protect and share files over FTP/S, SFTP, HTTPS and SCP with the #1 rated Windows file transfer server.

    Cerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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    OpenCost

    OpenCost

    Cost monitoring for Kubernetes workloads and cloud costs

    ...Flexible, customizable cost allocation and cloud resource monitoring for accurate showback, chargeback, and ongoing reporting. Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as support for on-prem Kubernetes clusters using custom pricing. Monitor costs outside the Kubernetes cluster from the cloud provider, resources like object storage, databases, and other managed services.
    Downloads: 2 This Week
    Last Update:
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  • 2
    OpenMeter

    OpenMeter

    Metering and Billing for AI, API and DevOps

    ...The system includes metering, storage, cataloging of products and pricing rules, and tools to enforce limits or quotas, supporting both self-service customer portals and internal dashboards. OpenMeter integrates with payment processors, CRMs, and analytics systems, letting teams launch complex pricing models or subscription tiers without heavy custom engineering work.
    Downloads: 6 This Week
    Last Update:
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  • 3
    Selefra

    Selefra

    The open-source policy-as-code software that provides analysis

    ...The core idea behind Selefra is “select * from infrastructure,” meaning you can write flexible SQL-style queries against cloud configuration and inventory data assembled from dozens of services such as AWS, Azure, GCP, Kubernetes, GitHub, Slack, and more, bringing auditing, security, compliance, cost optimization, and architecture insights into one place. It unifies data across provider APIs into a structured model, making it simple to detect misconfigurations, enforce governance policies, and build custom analytics workflows that align with organizational standards. Users can manage policies as code, version them alongside application code, and automate analysis and enforcement through scheduled tasks, CI/CD, or policy-as-code tooling.
    Downloads: 4 This Week
    Last Update:
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