Showing 229 open source projects for "aws"

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  • 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.
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    Forever Free Full-Stack Observability | Grafana Cloud

    Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

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  • 1
    constructs-go

    constructs-go

    Golang bindings for constructs

    ...Examples of such components include a worker queue with its associated compute capacity, or a scheduled job with monitoring resources and a dashboard. The AWS CDK includes a collection of constructs called the AWS Construct Library, containing constructs for every AWS service.
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  • 2
    Plugin for secrets management in Helm

    Plugin for secrets management in Helm

    A helm plugin that help manage secrets with Git workflow

    ...Same Makefile used to rebuild all helm charts with dependencies and some other everyday helpers. Encrypting, Decrypting, Editing secrets on local clones, making #PR's and storing this in our helm charts repo encrypted with PGP, AWS KMS and GCP KMS. Deploying using helm-wrapper from local or from CI with same charts and secrets/values from GIT repository.
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  • 3
    serverless-chrome

    serverless-chrome

    Run headless Chrome/Chromium on AWS Lambda

    ...It also opens up interesting possibilities for using the Chrome DevTools Protocol (and tools like Chromeless or Puppeteer) in serverless architectures and doing testing/CI, web-scraping, pre-rendering, etc. You must configure your AWS credentials either by defining AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environmental variables, or using an AWS profile.
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  • 4
    AWS IoT Greengrass Core SDK

    AWS IoT Greengrass Core SDK

    SDK to use with functions running on Greengrass Core using Python

    The AWS IoT Greengrass Core SDK is meant to be used by AWS Lambda functions running on an AWS IoT Greengrass Core. It will enable Lambda functions to invoke other Lambda functions deployed to the Greengrass Core, publish messages to the Greengrass Core and work with the local Shadow service. To use the AWS IoT Greengrass Core SDK, you must first import the AWS IoT Greengrass Core SDK in your Lambda function as you would with any other external libraries. ...
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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • 5
    Amazon SageMaker Examples

    Amazon SageMaker Examples

    Jupyter notebooks that demonstrate how to build models using SageMaker

    ...They have the familiar Jupyter and JuypterLab interfaces that work well for single users, or small teams where users are also administrators. Advanced users also use SageMaker solely with the AWS CLI and Python scripts using boto3 and/or the SageMaker Python SDK.
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  • 6
    SageMaker MXNet Training Toolkit

    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. You can also train and deploy models with Amazon algorithms, which are scalable implementations of core machine learning algorithms that are optimized for SageMaker and GPU training. ...
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  • 7
    Jeffy

    Jeffy

    Serverless Application Framework for Python AWS Lambda

    ...Decorators - Jeffy has an extensive range of decorators/ event handlers for implementing common things for Lambda functions. 3. Tracing - Events are traceable within related functions and AWS services with generating and passing correlation_id.
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  • 8
    Zappa

    Zappa

    Serverless Python

    ...With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. After your app returns, the "server" dies.
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  • 9
    Zalenium

    Zalenium

    Flexible and scalable container based Selenium Grid

    A flexible and scalable container-based Selenium Grid with video recording, live preview, basic auth & dashboard. Start a Selenium Grid in seconds, a grid that scales up and down dynamically with this solution based on docker-selenium to run your tests in Firefox and Chrome. If you need a different browser, Zalenium can redirect your tests to a cloud testing provider (Sauce Labs, BrowserStack, TestingBot, CrossBrowserTesting, LambdaTest). We improve Zalenium regularly. Please try it, and...
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  • $300 Free Credits to Build on Google Cloud Icon
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  • 10
    GitHub Action to Sync S3 Bucket

    GitHub Action to Sync S3 Bucket

    GitHub Action to sync a directory with a remote S3 bucket

    This simple action uses the vanilla AWS CLI to sync a directory (either from your repository or generated during your workflow) with a remote S3 bucket.As of v0.3.0, all aws s3 sync flags are optional to allow for maximum customizability (that's a word, I promise) and must be provided by you via args. --acl public-read makes your files publicly readable (make sure your bucket settings are also set to public).
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  • 11
    DevOps Bash Tools

    DevOps Bash Tools

    800+ DevOps Bash Scripts - AWS, GCP, Kubernetes, Docker, CI/CD, APIs

    Scripts for many popular DevOps technologies, see Inventory below for more details. Advanced configs for common tools like Git, vim, screen, tmux, PostgreSQL psql etc. CI configs for most major Continuous Integration products (see CI builds page) CI scripts for a drop-in framework of standard checks to run in all CI builds, CI detection, accounting for installation differences across CI environments, root vs user, virtualenvs etc. API scripts auto-handling authentication, tokens and other...
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  • 12
    git-secrets

    git-secrets

    Prevents you from committing secrets and credentials into git

    git-secrets is a Git extension that helps prevent secrets—API keys, credentials, tokens, private keys—from being accidentally committed into version control. It works by applying configurable regular-expression patterns over commit contents (and merge history) and rejecting commits or merges that violate the policy. The tool includes hooks that integrate into git commit and git merge, as well as commands to list, add, or remove secret patterns, and to scan existing history for leaks. Teams...
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  • 13
    RAN

    RAN

    RAN! React . GraphQL . Next.js Toolkit

    ...Offline-ready, next-generation CSS (CSS-in-JS). Create new page in a second (with CLI). SEO-ready, performance-first, production deployment ready for now, Digital Ocean, Heroku, and AWS. Prettier and ESLint integrated. Also, there is a beta version for new features & fixes that we are testing before release. It can be unstable, so that's why please use stable version if you are working on the project that is in production. The best feature of RAN! is CL commands. You can just run one command to create page with a route!
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  • 14
    AWS Greengrass Core C SDK

    AWS Greengrass Core C SDK

    SDK to use with functions running on Greengrass Core using C

    The AWS Greengrass Core SDK for C provides an interface to interact with the Greengrass Core system on the edge. It is c89 compliant and is meant to be performant while minimizing dependencies. The build will produce a shared object named libaws-greengrass-core-sdk-c.so under the build/aws-Greengrass-core-sdk-c directory. This is the shared object that the Lambda executable links to.
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  • 15
    Functional, Data Science Intro To Python

    Functional, Data Science Intro To Python

    [tutorial]A functional, Data Science focused introduction to Python

    The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing.
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  • 16
    AWS Toolkit for Eclipse

    AWS Toolkit for Eclipse

    Plugin for developing, deploying, and managing AWS applications

    The AWS Toolkit for Eclipse is an open source plug-in for the Eclipse Java IDE that makes it easier for developers to develop, debug, and deploy Java applications using Amazon Web Services. With the AWS Toolkit for Eclipse, you’ll be able to get started faster and be more productive when building AWS applications. The AWS Toolkit for Eclipse conveniently includes the AWS SDK for Java, so you can get started building Java applications on AWS infrastructure services in Eclipse, including Amazon S3, Amazon EC2, and Amazon DynamoDB. ...
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  • 17
    libaco

    libaco

    A blazing fast and lightweight C asymmetric coroutine library

    ...It has no more than 700 LOC but has the full functionality which you may want from a coroutine library. The benchmark part shows that a context switch between coroutines only takes about 10 ns (in the case of the standalone stack) on the AWS c5d.large machine. User could choose to create a new coroutine with a standalone stack or with a shared stack (could be shared with others). It is extremely memory-efficient, 10,000,000 coroutines simultaneously to run cost only 2.8 GB physical memory (run with tcmalloc, each coroutine has a 120B copy-stack size configuration). The phrase "fastest" in above means the fastest context switching implementation which complies to the Sys V ABI of Intel386 or AMD64.
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  • 18
    StrongKey CryptoEngine

    StrongKey CryptoEngine

    FIDO strong authentication, encryption, digital signature engine

    ...Its modules include: - A FIDO Engine to support FIDO U2F key registrations/authentications - An encryption engine to encrypt/decrypt files using AES/TDES keys - Escrowing keys to on-premises key management system (StrongAuth KeyAppliance/SAKA) - Integration to cloud storage services (AWS S3, Azure and Eucalyptus Walrus) - A signing engine to digitally sign documents, code, etc. with FIPS 140-2 HSM support - An LDAP Engine for AD/LDAP integration for authorization decisions SKCE is battle-tested and in production at one of the largest e-commerce companies in the world, protecting more than 50M documents within the business process; see http://bit.ly/14VPYlO for the case study. ...
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  • 19
    confd

    confd

    Manage local application configuration files using templates from etcd

    confd is a lightweight configuration management tool focused on keeping local configuration files up-to-date using data stored in etcd, consul, dynamodb, redis, vault, zookeeper, aws ssm parameter store or env vars and processing template resources. confd is also focused on reloading applications to pick up new config file changes. Go 1.10 is required to build confd, which uses the new vendor directory. You should have a working etcd, or consul server up and running and the ability to add new keys. Template resources are defined in TOML config files under the confdir. confd supports two modes of operation daemon and onetime. ...
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  • 20
    s3_website

    s3_website

    Manage an S3 website: sync, deliver via CloudFront

    s3_website is a Ruby gem that automates the deployment of static websites to AWS S3 and optionally CloudFront. It handles site configuration, uploads, cache control, gzip compression, redirects, and supports Jekyll, Nanoc, and Middleman out of the box. Ideal for static site hosting without manual AWS setup.
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  • 21
    Scotty.js

    Scotty.js

    Deploy static websites and single page apps to AWS S3

    Scotty.js is available on NPM. Install it as a global dependency to be able to use scotty command anywhere. Developing a single page app is hard. From the very beginning, you’ll need to make many decisions — decisions like picking a framework, setting the folder structure, configuring linter, and many others. Amazon offers something that can scale, a combination of Simple Storage Service (S3) for static website hosting and CloudFrontas a CDN is a cheap but scalable way to deliver your single...
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  • 22
    Este

    Este

    App and web development tool

    Este is an app and web development tool. Works for iOS development, Android development, to generate Prisma client, etc. To deploy local Prisma to demo server, set up Prisma with demo database, and put its endpoint to .env.prod.
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  • 23
    SAWS

    SAWS

    A supercharged AWS command line interface (CLI)

    Although the AWS CLI is a great resource to manage your AWS-powered services, it's tough to remember the usage of 70+ top-level commands, 2000+ subcommand, countless command-specific options, and resources such as instance tags and buckets. SAWS aims to supercharge the AWS CLI with features focusing on improving ease-of-use, and increasing productivity.
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  • 24
    Claudia Bot Builder

    Claudia Bot Builder

    Create chat bots for Facebook Messenger, Slack, Amazon Alexa, etc.

    ...Claudia Bot Builder doesn't have a stand-alone http server in the background (such as Express, Hapi, etc.), instead it uses API Gateway and it's not trivial to simulate similar environment locally. Deploy it with --version test to create a separate test environment directly in AWS Lambda.
    Downloads: 1 This Week
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  • 25
    This Amazon Mechanical Turk (MTurk) SDK is no longer under active development as of 12/31/2017. The latest MTurk SDKs, with support for most common programming languages, are now a part of the Amazon Web Service (AWS) SDKs at https://aws.amazon.com/tools/. With the AWS SDKs, you can also connect to MTurk using the AWS Command Line Interface (https://aws.amazon.com/cli/), allowing you to perform operations from your Windows, Mac, or Linux command line without having to write code.
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