Showing 8 open source projects for "google-visualization-python"

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    Paessler: Easy to Use With Enterprise Power. Free Trial

    A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.

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    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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  • 1
    AWS Lambda Python Runtime Interf Client

    AWS Lambda Python Runtime Interf Client

    Seamlessly extend your preferred base images to be Lambda compatible

    ...The Lambda Runtime Interface Client is a lightweight interface that allows your runtime to receive requests from and send requests to the Lambda service. The Lambda Python Runtime Interface Client is vended through pip. You can include this package in your preferred base image to make that base image Lambda compatible. To make it easy to locally test Lambda functions packaged as container images we open-sourced a lightweight web-server, Lambda Runtime Interface Emulator (RIE), which allows your function packaged as a container image to accept HTTP requests. ...
    Downloads: 1 This Week
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  • 2
    Shepherd

    Shepherd

    Runtime substrate that turns agent's execution into a Git-like trace

    Shepherd is an early-stage Python runtime for building agents and meta-agents around reversible, inspectable execution traces. It records interactions and workspace changes as durable run histories instead of immediately applying an agent's output. Each result can be reviewed, executed separately, selected, merged, released, or discarded. Tasks are declared as Python functions whose signatures and documentation define the agent contract and required resources.
    Downloads: 8 This Week
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  • 3
    AWS Neuron

    AWS Neuron

    Powering Amazon custom machine learning chips

    ...Neuron is pre-integrated into popular machine learning frameworks like TensorFlow, MXNet and Pytorch to provide a seamless training-to-inference workflow. It includes a compiler, runtime driver, as well as debug and profiling utilities with a TensorBoard plugin for visualization.
    Downloads: 0 This Week
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  • 4
    Agent Executor (AX)

    Agent Executor (AX)

    Google's open source distributed agent runtime

    Agent Executor (AX) is a Google research project for learning discrete choice models through differentiable maximum likelihood estimation. It is designed for situations where a model needs to predict choices from a finite set of alternatives, such as ranking, recommendation, preference modeling, or decision behavior analysis. The project provides JAX-based tools for defining and training choice models with automatic differentiation.
    Downloads: 9 This Week
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    MongoDB Atlas runs apps anywhere

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    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.
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  • 5
    mise

    mise

    Dev tools, env vars, task runner

    Mise (formerly RTX) is a cross-language CLI tool and task runner that manages developer tools, environment variables, and project tasks in a unified configuration (mise.toml). It handles tool installation (e.g., Node, Python, Terraform), env var profiles, and repeatable command scripting.
    Downloads: 31 This Week
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  • 6

    nimbletools-core

    Open Source MCP Platform - Build, scale, and deploy MCP servers on k8s

    Downloads: 5 This Week
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  • 7
    The CEDAR project
    .... - code generator: generate a C++ code base from a CEDAR model. - runtime: C++ and python runtime support files - ruststore: A datastore for the CEDAR runtime
    Downloads: 0 This Week
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  • 8
    GraalVM

    GraalVM

    Run programs faster anywhere

    GraalVM is a high-performance multilingual runtime. It is designed to accelerate the execution of applications written in Java and other JVM languages while also providing runtimes for JavaScript, Ruby, Python, etc. Increase application throughput and reduce latency. Compile applications into small self-contained native binaries. Seamlessly use multiple languages and libraries. Advanced optimizing compiler that generates fast lean code which requires fewer compute resources. Native binaries start up instantly and deliver peak performance with no warm up time. ...
    Downloads: 0 This Week
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