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Showing 31 open source projects for "amazon"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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amazon-connect-wisdomjs
Gives you the power to build your own Wisdom widget
Amazon Connect Wisdom, a feature of Amazon Connect, delivers agents the information they need, reducing the time spent searching for answers. Today, knowledge articles, wikis, and FAQs are spread across separate repositories. Agents lose a lot of time trying to navigate all those different sources of information, and in the meantime, the customer waits for an answer. -
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Amazon Braket Python Schemas
A library that contains schemas for Amazon Braket
Amazon Braket Python Schemas is an open source library that contains the schemas for Braket, including intermediate representations (IR) for Amazon Braket quantum tasks and offers serialization and deserialization of those IR payloads. Think of the IR as the contract between the Amazon Braket SDK and Amazon Braket API for quantum programs. -
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Amazon EC2 Instance Selector
A CLI tool and go library which recommends instance types
A CLI tool and go library which recommends instance types based on resource criteria like vcpus and memory. There are over 270 different instance types available on EC2 which can make the process of selecting appropriate instance types difficult. Instance Selector helps you select compatible instance types for your application to run on. The command-line interface can be passed resource criteria like vcpus, memory, network performance, and much more and then return the available, matching... -
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Amazon Neptune SigV4 Signer
A library for Amazon Neptune that enables AWS Signature Version
A library for sending AWS Signature Version 4 signed requests over HTTP to Amazon Neptune. This package provides signers that can be used with various implementations of HttpRequests. AWS Identity and Access Management (IAM) is an AWS service that helps an administrator securely control access to AWS resources. IAM administrators control who can be authenticated (signed in) and authorized (have permissions) to use Neptune resources. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Amazon Chime SDK for JavaScript
A JavaScript client library for integrating multi-party communications
The Amazon Chime SDK for JavaScript works by connecting to meeting session resources that you create in your AWS account. The SDK has everything you need to build custom calling and collaboration experiences in your web application, including methods to configure meeting sessions, list and select audio and video devices, start and stop screen share and screen share viewing, receive callbacks when media events such as volume changes. -
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Amazon Chime SDK React Components
Chime React Component Library with integrations with the Amazon SDK
The Amazon Chime SDK makes it easy to add collaborative audio calling, video calling, and screen share features to web applications by using the same infrastructure services that power millions of Amazon Chime online meetings. The Amazon Chime SDK React Component Library supplies client-side state management and reusable UI components for common web interfaces used in audio and video conferencing applications, including: video tile grids, microphone activity indicators, and call controls. ... -
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AWS SDK ZF2 Module
ZF2 module for using the AWS SDK for PHP to interact with AWS services
Get started quickly using AWS with the AWS SDK for PHP. The SDK is a modern, open-source PHP library that makes it easy to integrate your PHP application with AWS services like Amazon S3, Amazon Glacier, and Amazon DynamoDB. Version 3 of the AWS SDK for PHP is now generally available and includes a number of improvements and new features while maintaining nearly identical API patterns for easy migration from version 2. Conveniently marshal and unmarshal JSON documents and PHP arrays for storage in Amazon DynamoDB. ... -
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SageMaker Hugging Face Inference Toolkit
Library for serving Transformers models on Amazon SageMaker
SageMaker Hugging Face Inference Toolkit is an open-source library for serving Transformers models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain Transformers models and tasks. It utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. For the Dockerfiles used for building SageMaker Hugging Face Containers, see AWS Deep Learning Containers. -
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AWS CodeBuild curated Docker images
AWS CodeBuild repository for managed Docker images
...When you provide information to CodeBuild about the build environment, you specify the identifier of a Docker image in a supported repository type. These include the CodeBuild Docker image repository, publicly available images in Docker Hub, and Amazon Elastic Container Registry (Amazon ECR) repositories that your AWS account has permission to access. We recommend that you use Docker images stored in the CodeBuild Docker image repository, because they are optimized for use with the service. -
Train ML Models With SQL You Already KnowBuild 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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AWS Amplify
A declarative JavaScript library for application development
...The Amplify JavaScript libraries are supported for different web and mobile frameworks including React, React Native, Angular, Ionic, and Vue. It is recommended that you first complete the Getting Started guide for Amplify JavaScript. The Amplify Framework uses Amazon Cognito as the main authentication provider. Amazon Cognito is a robust user directory service that handles user registration, authentication, account recovery & other operations. -
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S3Mock
A simple mock implementation of the AWS S3 API startable as Docker
S3Mock is a lightweight server that implements parts of the Amazon S3 API. It has been created to support local integration testing by reducing infrastructure dependencies. The S3Mock server can be started as a standalone Docker container, using Test containers, JUnit4, JUnit5 and TestNG support, or programmatically. -
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AWS SDK for iOS
AWS SDK for iOS
AWS SDK for iOS is a comprehensive development kit that enables iOS applications to interact with AWS cloud services, including storage, databases, authentication, and analytics. -
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Metaflow
A framework for real-life data science
Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning. -
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Nock
HTTP server mocking and expectations library for Node.js
...Nock can be used to test modules that perform HTTP requests in isolation. For instance, if a module performs HTTP requests to a CouchDB server or makes HTTP requests to the Amazon API, you can test that module in isolation. Nock works by overriding Node's http.request function. Also, it overrides http.ClientRequest too to cover for modules that use it directly. -
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SageMaker Spark
A Spark library for Amazon SageMaker
SageMaker Spark is an open-source Spark library for Amazon SageMaker. With SageMaker Spark you construct Spark ML Pipelines using Amazon SageMaker stages. These pipelines interleave native Spark ML stages and stages that interact with SageMaker training and model hosting. With SageMaker Spark, you can train on Amazon SageMaker from Spark DataFrames using Amazon-provided ML algorithms like K-Means clustering or XGBoost, and make predictions on DataFrames against SageMaker endpoints hosting your trained models, and, if you have your own ML algorithms built into SageMaker compatible Docker containers, you can use SageMaker Spark to train and infer on DataFrames with your own algorithms -- all at Spark scale. ... -
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ScalikeJDBC
A tidy SQL-based DB access library for Scala developers
...We believe that ScalikeJDBC basically works with any other RDBMS (Oracle, SQL Server and so on). If you can access some datastore via JDBC interface, that means you can access them via ScalikeJDBC too. Recently, Amazon Redshift and Facebook Presto support JDBC interface. You can access them via ScalikeJDBC! Of course, you can use c3p0 (or others) instead of commons-dbcp though ConnectionPool implementation for that isn’t provided by default. -
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EKS Best Practices
A best practices guide for day 2 operations
The Amazon EKS Best Practices Guide is a public repository containing comprehensive documentation and guidance for operating production-grade Kubernetes clusters on AWS’s managed service, Amazon EKS. Rather than a code library, it serves as a reference catalogue of patterns, anti-patterns, checklists and architectures across domains such as security, reliability, scalability, networking, cost optimization and hybrid cloud deployments. -
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libfabric
AWS Libfabric
The Open Fabrics Interfaces (OFI) is a framework focused on exporting fabric communication services to applications. Libfabric pre-built binaries may be available from other sources, such as Linux distributions. Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run applications requiring high levels of inter-node communications at scale on AWS. Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. ... -
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
...Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more. Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop. -
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Brave
Java distributed tracing implementation compatible with Zipkin backend
...Brave typically intercepts production requests to gather timing data, correlate and propagate trace contexts. While typically trace data is sent to Zipkin server, third-party plugins are available to send to alternate services such as Amazon X-Ray. This repository includes dependency-free Java libraries and instrumentation for common components used in production services. For example, this includes trace filters for Servlet and log correlation for Apache Log4J. Brave's dependency-free tracer library works against JRE6+. This is the underlying api that instrumentation use to time operations and add tags that describe them. ... -
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PennyLane
A cross-platform Python library for differentiable programming
...Quantum circuits can be set up to interface with either NumPy, PyTorch, JAX, or TensorFlow, allowing hybrid CPU-GPU-QPU computations. The same quantum circuit model can be run on different devices. Install plugins to run your computational circuits on more devices, including Strawberry Fields, Amazon Braket, Qiskit and IBM Q, Google Cirq, Rigetti Forest, and the Microsoft QDK. -
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Amazon Braket Strawberry Fields Plugin
An open source framework for using Amazon Braket devices
An open-source framework for using Amazon Braket devices with the Strawberry Fields photonic device programming library. This plugin provides a BraketEngine class for running photonic quantum circuits created in Strawberry Fields on the Amazon Braket service. The Amazon Braket Python SDK is an open source library that provides a framework to interact with quantum computing hardware devices and simulators through Amazon Braket. -
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Amazon Kinesis Flink Connectors
Contains various Apache Flink connectors to connect to AWS data
This library contains various Apache Flink connectors to connect to AWS data sources and sinks. This repository contains various Apache Flink connectors to connect to AWS Kinesis data sources and sinks. Flink maintain backwards compatibility for the Sink interface used by the Firehose Producer. This project is compatible with Flink 1.x, there is no guarantee it will support Flink 2.x should it release in the future. An Apache Flink application is a Java or Scala application that is created... -
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Amazon Neptune Gremlin .NET SigV4
A custom library for Amazon Neptune that enables AWS Signature Version
This project provides a custom library that extends the Apache TinkerPop Gremlin.NET client to enable AWS IAM Signature Version 4 signing for establishing authenticated connections to Amazon Neptune. For example usage refer to: NeptuneGremlinNETSigV4Example.cs. This example shows how to leverage this library for establishing an authenticated connection to Neptune. The GremlinClient library accepts both a GremlinServer object as well as a webSocketConfiguration object that contains a custom configuration set for establishing the WebSocket connection to Amazon Neptune. ... -
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SageMaker MXNet Training Toolkit
Toolkit for running MXNet training scripts on SageMaker
SageMaker MXNet Training Toolkit is an open-source library for using MXNet to train models on Amazon SageMaker. For inference, see SageMaker MXNet Inference Toolkit. For the Dockerfiles used for building SageMaker MXNet Containers, see AWS Deep Learning Containers. For information on running MXNet jobs on Amazon SageMaker, please refer to the SageMaker Python SDK documentation. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow. ...
