Showing 2 open source projects for "portable proxy server"

View related business solutions
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • Compliant and Reliable File Transfers Backed by Top Security Certifications Icon
    Compliant and Reliable File Transfers Backed by Top Security Certifications

    Cerberus FTP Server delivers SOC 2 Type II certified security and FIPS 140-2 validated encryption.

    Stop relying on non-certified, legacy file transfer tools that creak under the weight of modern security demands. Get full audit trails, advanced access controls and more supported by an award-winning team of experts. Start your free 25-day trial today.
    Start Free Trial
  • 1
    Velocity server

    Velocity server

    The modern, next-generation Minecraft server proxy

    ...The software is designed with a focus on performance, scalability, and modern architecture, allowing it to handle thousands of simultaneous players efficiently. Velocity also includes a plugin API that allows developers to extend the proxy with custom functionality and integrate it with existing server tools. Compared with older proxy solutions, the project emphasizes improved performance, reliability, and cleaner software design.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    Hamilton DAGWorks

    Hamilton DAGWorks

    Helps scientists define testable, modular, self-documenting dataflow

    Hamilton is a lightweight Python library for directed acyclic graphs (DAGs) of data transformations. Your DAG is portable; it runs anywhere Python runs, whether it's a script, notebook, Airflow pipeline, FastAPI server, etc. Your DAG is expressive; Hamilton has extensive features to define and modify the execution of a DAG (e.g., data validation, experiment tracking, remote execution). To create a DAG, write regular Python functions that specify their dependencies with their parameters. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
Auth0 Logo