2 projects for "python-dpkt" with 2 filters applied:

  • Run Any Workload on Compute Engine VMs Icon
    Run Any Workload on Compute Engine VMs

    From dev environments to AI training, choose preset or custom VMs with 1–96 vCPUs and industry-leading 99.95% uptime SLA.

    Compute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
    Try Compute Engine
  • Deploy Apps in Seconds with Cloud Run Icon
    Deploy Apps in Seconds with Cloud Run

    Host and run your applications without the need to manage infrastructure. Scales up from and down to zero automatically.

    Cloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
    Try Cloud Run Free
  • 1
    Union Pandera

    Union Pandera

    Light-weight, flexible, expressive statistical data testing library

    ...Access a comprehensive suite of built-in tests, or easily create your own validation rules for your specific use cases. Validate the functions that produce your data by automatically generating test cases for them. Integrate seamlessly with the Python ecosystem. Overcome the initial hurdle of defining a schema by inferring one from clean data, then refine it over time. Identify the critical points in your data pipeline, and validate data going in and out of them. Build confidence in the quality of your data by defining schemas for complex data objects.
    Downloads: 0 This Week
    Last Update:
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  • 2
    CloverDX

    CloverDX

    Design, automate, operate and publish data pipelines at scale

    ...Simple data manipulation jobs can be created visually. More complex business logic can be implemented using Clover's domain-specific-language CTL, in Java or languages like Python or JavaScript. Through its DataServices functionality, it allows to quickly turn data pipelines into REST API endpoints. The platform allows to easily scale your data job across multiple cores or nodes/machines. Supports Docker/Kubernetes deployments and offers AWS/Azure images in their respective marketplace
    Downloads: 7 This Week
    Last Update:
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