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  • Language
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  • License
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  • Created about 7 years ago
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Repository Details

JavaScript library files for Offline, Sync, Sigv4. includes support for React Native

AWS AppSync JavaScript SDK ยท lerna

AWS AppSync

AWS AppSync is a fully managed service that makes it easy to develop GraphQL APIs by handling the heavy lifting of securely connecting to data sources like AWS DynamoDB, Lambda, and more.

You can use any HTTP or GraphQL client to connect to a GraphQL API on AppSync.

For front-end web and mobile development, we recommend using the Amplify clients which are optimized to connect to the AppSync backend.

  • For DynamoDB data sources, use the DataStore category in the Amplify client. It provides the best developer experience and built-in conflict detection and resolution.
  • For non-DynamoDB data sources in scenarios where you have no offline requirements, use the API (GraphQL) category in the Amplify client.
  • For use cases where you are utilizing the Apollo V3 client, use the Apollo Links in this repository to help with authorization and subscriptions.

AWS AppSync Links for Apollo V3

If you would like to use the Apollo JavaScript client version 3 to connect to your AppSync GraphQL API, this repository (on the current stable branch) provides Apollo links to use the different AppSync authorization modes, and to setup subscriptions over web sockets. Please log questions for this client SDK in this repo and questions for the AppSync service in the official AWS AppSync forum .

npm npm

package version
aws-appsync-auth-link npm
aws-appsync-subscription-link npm

Example usage of Apollo V3 links


AWS AppSync JavaScript SDK

The aws-appsync and aws-appsync-react packages work with the Apollo client version 2 and provide offline capabilities.

Note: if you do not have any offline requirements in your app, we recommend using the Amplify libraries.

npm

package version
aws-appsync npm
aws-appsync-react npm

Installation

npm

npm install --save aws-appsync

yarn

yarn add aws-appsync

React Native Compatibility

When using this library with React Native, you need to ensure you are using the correct version of the library based on your version of React Native. Take a look at the table below to determine what version to use.

aws-appsync version Required React Native Version
2.x.x >= 0.60
1.x.x <= 0.59

If you are using React Native 0.60 and above, you also need to install @react-native-community/netinfo and @react-native-community/async-storage:

npm install --save @react-native-community/[email protected] @react-native-community/async-storage

or

yarn add @react-native-community/[email protected] @react-native-community/async-storage

If you are using React Native 0.60+ for iOS, run the following command as an additional step:

npx pod-install

Usage

Please visit the documentation with the Amplify Framework for detailed instructions.

React / React Native

For more documentation on graphql operations performed by React Apollo see their documentation.

Using Authorization and Subscription links with Apollo Client V3 (No offline support)

For versions of the Apollo client newer than 2.4.6 you can use custom links for Authorization and Subscriptions. Offline support is not available for these newer versions. The packages available are aws-appsync-auth-link and aws-appsync-subscription-link. Below is a sample code snippet that shows how to use it.

import { createAuthLink } from "aws-appsync-auth-link";
import { createSubscriptionHandshakeLink } from "aws-appsync-subscription-link";

import {
  ApolloProvider,
  ApolloClient,
  InMemoryCache,
  HttpLink,
  ApolloLink,
} from "@apollo/client";

import appSyncConfig from "./aws-exports";

/* The HTTPS endpoint of the AWS AppSync API 
(e.g. *https://aaaaaaaaaaaaaaaaaaaaaaaaaa.appsync-api.us-east-1.amazonaws.com/graphql*). 
[Custom domain names](https://docs.aws.amazon.com/appsync/latest/devguide/custom-domain-name.html) can also be supplied here (e.g. *https://api.yourdomain.com/graphql*). 
Custom domain names can have any format, but must end with `/graphql` 
(see https://graphql.org/learn/serving-over-http/#uris-routes). */
const url = appSyncConfig.aws_appsync_graphqlEndpoint;


const region = appSyncConfig.aws_appsync_region;

const auth = {
  type: appSyncConfig.aws_appsync_authenticationType,
  apiKey: appSyncConfig.aws_appsync_apiKey,
  // jwtToken: async () => token, // Required when you use Cognito UserPools OR OpenID Connect. token object is obtained previously
  // credentials: async () => credentials, // Required when you use IAM-based auth.
};

const httpLink = new HttpLink({ uri: url });

const link = ApolloLink.from([
  createAuthLink({ url, region, auth }),
  createSubscriptionHandshakeLink({ url, region, auth }, httpLink),
]);

const client = new ApolloClient({
  link,
  cache: new InMemoryCache(),
});

const ApolloWrapper = ({ children }) => {
  return <ApolloProvider client={client}>{children}</ApolloProvider>;
};

Queries and Subscriptions using Apollo V3

import React, { useState, useEffect } from "react";
import { gql, useSubscription } from "@apollo/client";
import { useMutation, useQuery } from "@apollo/client";
import { v4 as uuidv4 } from "uuid";

const initialState = { name: "", description: "" };

const App = () => {

  const LIST_TODOS = gql`
    query listTodos {
      listTodos {
        items {
          id
          name
          description
        }
      }
    }
  `;

  const {
    loading: listLoading,
    data: listData,
    error: listError,
  } = useQuery(LIST_TODOS);

  const CREATE_TODO = gql`
    mutation createTodo($input: CreateTodoInput!) {
      createTodo(input: $input) {
        id
        name
        description
      }
    }
  `;

  // https://www.apollographql.com/docs/react/data/mutations/
  const [addTodoMutateFunction, { error: createError }] =
    useMutation(CREATE_TODO);

  async function addTodo() {
    try {
      addTodoMutateFunction({ variables: { input: { todo } } });
    } catch (err) {
      console.log("error creating todo:", err);
    }
  }

  const DELETE_TODO = gql`
    mutation deleteTodo($input: DeleteTodoInput!) {
      deleteTodo(input: $input) {
        id
        name
        description
      }
    }
  `;

  const [deleteTodoMutateFunction] = useMutation(DELETE_TODO, {
    refetchQueries: [LIST_TODOS, "listTodos"],
  });

  async function removeTodo(id) {
    try {
      deleteTodoMutateFunction({ variables: { input: { id } } });
    } catch (err) {
      console.log("error deleting todo:", err);
    }
  }

  const CREATE_TODO_SUBSCRIPTION = gql`
    subscription OnCreateTodo {
      onCreateTodo {
        id
        name
        description
      }
    }
  `;

  const { data: createSubData, error: createSubError } = useSubscription(
    CREATE_TODO_SUBSCRIPTION
  );

  return (
    // Render TODOs
  );
};

export default App;

Creating a client (Apollo V2)

import AWSAppSyncClient from "aws-appsync";
import AppSyncConfig from "./aws-exports";
import { ApolloProvider } from "react-apollo";
import { Rehydrated } from "aws-appsync-react"; // this needs to also be installed when working with React
import App from "./App";

const client = new AWSAppSyncClient({
  /* The HTTPS endpoint of the AWS AppSync API 
  (e.g. *https://aaaaaaaaaaaaaaaaaaaaaaaaaa.appsync-api.us-east-1.amazonaws.com/graphql*). 
  [Custom domain names](https://docs.aws.amazon.com/appsync/latest/devguide/custom-domain-name.html) can also be supplied here (e.g. *https://api.yourdomain.com/graphql*). 
  Custom domain names can have any format, but must end with `/graphql` 
  (see https://graphql.org/learn/serving-over-http/#uris-routes). */
  url: AppSyncConfig.aws_appsync_graphqlEndpoint,
  region: AppSyncConfig.aws_appsync_region,
  auth: {
    type: AppSyncConfig.aws_appsync_authenticationType,
    apiKey: AppSyncConfig.aws_appsync_apiKey,
    // jwtToken: async () => token, // Required when you use Cognito UserPools OR OpenID Connect. Token object is obtained previously
    // credentials: async () => credentials, // Required when you use IAM-based auth.
  },
});

const WithProvider = () => (
  <ApolloProvider client={client}>
    <Rehydrated>
      <App />
    </Rehydrated>
  </ApolloProvider>
);

export default WithProvider;

Queries

import gql from "graphql-tag";
import { graphql } from "react-apollo";

const listPosts = gql`
  query listPosts {
    listPosts {
      items {
        id
        name
      }
    }
  }
`;
class App extends Component {
  render() {
    return (
      <div>
        {this.props.posts.map((post, index) => (
          <h2 key={post.id ? post.id : index}>{post.name}</h2>
        ))}
      </div>
    );
  }
}

export default graphql(listPosts, {
  options: {
    fetchPolicy: "cache-and-network",
  },
  props: (props) => ({
    posts: props.data.listPosts ? props.data.listPosts.items : [],
  }),
})(App);

Mutations & optimistic UI (with graphqlMutation helper)

import gql from "graphql-tag";
import { graphql, compose } from "react-apollo";
import { graphqlMutation } from "aws-appsync-react";

const CreatePost = gql`
  mutation createPost($name: String!) {
    createPost(input: { name: $name }) {
      name
    }
  }
`;

class App extends Component {
  state = { name: "" };
  onChange = (e) => {
    this.setState({ name: e.target.value });
  };
  addTodo = () => this.props.createPost({ name: this.state.name });
  render() {
    return (
      <div>
        <input onChange={this.onChange} placeholder="Todo name" />
        <button onClick={this.addTodo}>Add Todo</button>
        {this.props.posts.map((post, index) => (
          <h2 key={post.id ? post.id : index}>{post.name}</h2>
        ))}
      </div>
    );
  }
}

export default compose(
  graphql(listPosts, {
    options: {
      fetchPolicy: "cache-and-network",
    },
    props: (props) => ({
      posts: props.data.listPosts ? props.data.listPosts.items : [],
    }),
  }),
  graphqlMutation(CreatePost, listPosts, "Post")
)(App);

Mutations & optimistic UI (without graphqlMutation helper)

import gql from "graphql-tag";
import uuidV4 from "uuid/v4";
import { graphql, compose } from "react-apollo";

const CreatePost = gql`
  mutation createPost($name: String!) {
    createPost(input: { name: $name }) {
      name
    }
  }
`;

class App extends Component {
  state = { name: "" };
  onChange = (e) => {
    this.setState({ name: e.target.value });
  };
  addTodo = () => this.props.onAdd({ id: uuidV4(), name: this.state.name });
  render() {
    return (
      <div>
        <input onChange={this.onChange} placeholder="Todo name" />
        <button onClick={this.addTodo}>Add Todo</button>
        {this.props.posts.map((post, index) => (
          <h2 key={post.id ? post.id : index}>{post.name}</h2>
        ))}
      </div>
    );
  }
}

export default compose(
  graphql(listPosts, {
    options: {
      fetchPolicy: "cache-and-network",
    },
    props: (props) => ({
      posts: props.data.listPosts ? props.data.listPosts.items : [],
    }),
  }),
  graphql(CreatePost, {
    options: {
      update: (dataProxy, { data: { createPost } }) => {
        const query = listPosts;
        const data = dataProxy.readQuery({ query });
        data.listPosts.items.push(createPost);
        dataProxy.writeQuery({ query, data });
      },
    },
    props: (props) => ({
      onAdd: (post) => {
        props.mutate({
          variables: post,
          optimisticResponse: () => ({
            createPost: { ...post, __typename: "Post" },
          }),
        });
      },
    }),
  })
)(App);

Subscriptions (with buildSubscription helper)

import gql from "graphql-tag";
import { graphql } from "react-apollo";
import { buildSubscription } from "aws-appsync";

const listPosts = gql`
  query listPosts {
    listPosts {
      items {
        id
        name
      }
    }
  }
`;

const PostSubscription = gql`
  subscription postSubscription {
    onCreatePost {
      id
      name
    }
  }
`;

class App extends React.Component {
  componentDidMount() {
    this.props.data.subscribeToMore(
      buildSubscription(PostSubscription, listPosts)
    );
  }
  render() {
    return (
      <div>
        {this.props.posts.map((post, index) => (
          <h2 key={post.id ? post.id : index}>{post.name}</h2>
        ))}
      </div>
    );
  }
}

export default graphql(listPosts, {
  options: {
    fetchPolicy: "cache-and-network",
  },
  props: (props) => ({
    posts: props.data.listPosts ? props.data.listPosts.items : [],
    data: props.data,
  }),
})(App);

Subscriptions (without buildSubscription helper)

import gql from "graphql-tag";
import { graphql } from "react-apollo";

const listPosts = gql`
  query listPosts {
    listPosts {
      items {
        id
        name
      }
    }
  }
`;

const PostSubscription = gql`
  subscription postSubscription {
    onCreatePost {
      id
      name
    }
  }
`;

class App extends React.Component {
  componentDidMount() {
    this.props.subscribeToNewPosts();
  }
  render() {
    return (
      <div>
        {this.props.posts.map((post, index) => (
          <h2 key={post.id ? post.id : index}>{post.name}</h2>
        ))}
      </div>
    );
  }
}

export default graphql(listPosts, {
  options: {
    fetchPolicy: "cache-and-network",
  },
  props: (props) => ({
    posts: props.data.listPosts ? props.data.listPosts.items : [],
    subscribeToNewPosts: (params) => {
      props.data.subscribeToMore({
        document: PostSubscription,
        updateQuery: (
          prev,
          {
            subscriptionData: {
              data: { onCreatePost },
            },
          }
        ) => ({
          ...prev,
          listPosts: {
            __typename: "PostConnection",
            items: [
              onCreatePost,
              ...prev.listPosts.items.filter(
                (post) => post.id !== onCreatePost.id
              ),
            ],
          },
        }),
      });
    },
  }),
})(App);

Complex objects (Apollo V2)

Many times you might want to create logical objects that have more complex data, such as images or videos, as part of their structure. For example, you might create a Person type with a profile picture or a Post type that has an associated image. With AWS AppSync, you can model these as GraphQL types, referred to as complex objects. If any of your mutations have a variable with bucket, key, region, mimeType and localUri fields, the SDK uploads the file to Amazon S3 for you.

For a complete working example of this feature, see aws-amplify-graphql on GitHub.

If you're using AWS Amplify's GraphQL transformer, then configure your resolvers to write to DynamoDB and point at S3 objects when using the S3Object type. For example, run the following in an Amplify project:

amplify add auth        #Select default configuration
amplify add storage     #Select S3 with read/write access
amplify add api         #Select Cognito User Pool for authorization type

When prompted, use the following schema:

type Todo @model {
  id: ID!
  name: String!
  description: String!
  file: S3Object
}
type S3Object {
  bucket: String!
  key: String!
  region: String!
}
input CreateTodoInput {
  id: ID
  name: String!
  description: String
  file: S3ObjectInput # This input type will be generated for you
}

Save and run amplify push to deploy changes.

To use complex objects you need AWS Identity and Access Management credentials for reading and writing to Amazon S3 which amplify add auth configures in the default setting along with a Cognito user pool. These can be separate from the other auth credentials you use in your AWS AppSync client. Credentials for complex objects are set using the complexObjectsCredentials parameter, which you can use with AWS Amplify and the complex objects feature like so:

const client = new AWSAppSyncClient({
    url: ENDPOINT,
    region: REGION,
    auth: { ... },   //Can be User Pools or API Key
    complexObjectsCredentials: () => Auth.currentCredentials(),
});
(async () => {
  let file;
  if (selectedFile) { // selectedFile is the file to be uploaded, typically comes from an <input type="file" />
    const { name, type: mimeType } = selectedFile;
    const [, , , extension] = /([^.]+)(\.(\w+))?$/.exec(name);
    const bucket = aws_config.aws_user_files_s3_bucket;
    const region = aws_config.aws_user_files_s3_bucket_region;
    const visibility = 'private';
    const { identityId } = await Auth.currentCredentials();
    const key = `${visibility}/${identityId}/${uuid()}${extension && '.'}${extension}`;
    file = {
      bucket,
      key,
      region,
      mimeType,
      localUri: selectedFile,
    };
  }
  const result = await client.mutate({
    mutation: gql(createTodo),
    variables: {
      input: {
        name: 'Upload file',
        description: 'Uses complex objects to upload',
        file: file,
      }
    }
  });
})();

When you run the above mutation, a record will be in a DynamoDB table for your AppSync API as well as the corresponding file in an S3 bucket.

Offline configuration (Apollo V2)

When using the AWS AppSync SDK offline capabilities (e.g. disableOffline: false), you can provide configurations for the following:

  • Error handling
  • Custom storage engine

Error handling

If a mutation is done while the app was offline, it gets persisted to the platform storage engine. When coming back online, it is sent to the GraphQL endpoint. When a response is returned by the API, the SDK will notify you of the success or error using the callback provided in the offlineConfig param as follows:

const client = new AWSAppSyncClient({
  url: appSyncConfig.graphqlEndpoint,
  region: appSyncConfig.region,
  auth: {
    type: appSyncConfig.authenticationType,
    apiKey: appSyncConfig.apiKey,
  },
  offlineConfig: {
    callback: (err, succ) => {
      if (err) {
        const { mutation, variables } = err;

        console.warn(`ERROR for ${mutation}`, err);
      } else {
        const { mutation, variables } = succ;

        console.info(`SUCCESS for ${mutation}`, succ);
      }
    },
  },
});

Custom storage engine

You can use any custom storage engine from the redux-persist supported engines list.

Configuration is done as follows: (localForage shown in the example)

import * as localForage from "localforage";

const client = new AWSAppSyncClient({
  url: appSyncConfig.graphqlEndpoint,
  region: appSyncConfig.region,
  auth: {
    type: appSyncConfig.authenticationType,
    apiKey: appSyncConfig.apiKey,
  },
  offlineConfig: {
    storage: localForage,
  },
});

Offline helpers

For detailed documentation about the offline helpers, look at the API Definition.

Vue

For more documentation on Vue Apollo click here.

main.js

import Vue from "vue";
import App from "./App";
import router from "./router";

import AWSAppSyncClient from "aws-appsync";
import VueApollo from "vue-apollo";
import AppSyncConfig from "./aws-exports";

const config = {
  url: AppSyncConfig.graphqlEndpoint,
  region: AppSyncConfig.region,
  auth: {
    type: AppSyncConfig.authType,
    apiKey: AppSyncConfig.apiKey,
  },
};
const options = {
  defaultOptions: {
    watchQuery: {
      fetchPolicy: "cache-and-network",
    },
  },
};

const client = new AWSAppSyncClient(config, options);

const appsyncProvider = new VueApollo({
  defaultClient: client,
});

Vue.use(VueApollo);

new Vue({
  el: "#app",
  router,
  components: { App },
  provide: appsyncProvider.provide(),
  template: "<App/>",
});

App.vue

<template>
  <div id="app" v-if="hydrated">
    <router-view/>
  </div>
</template>

<script>
export default {
  name: 'App',
  data: () => ({ hydrated: false }),
  async mounted() {
    await this.$apollo.provider.defaultClient.hydrated()
    this.hydrated = true
  },
}
</script>

connected component

import gql from "graphql-tag";
import uuidV4 from "uuid/v4";

const CreateTask = gql`
  mutation createTask($id: ID!, $name: String!, $completed: Boolean!) {
    createTask(input: { id: $id, name: $name, completed: $completed }) {
      id
      name
      completed
    }
  }
`;

const DeleteTask = gql`
  mutation deleteTask($id: ID!) {
    deleteTask(input: { id: $id }) {
      id
    }
  }
`;

const ListTasks = gql`
  query listTasks {
    listTasks {
      items {
        id
        name
        completed
      }
    }
  }
`;

const UpdateTask = gql`
  mutation updateTask($id: ID!, $name: String!, $completed: Boolean!) {
    updateTask(input: { id: $id, name: $name, completed: $completed }) {
      id
      name
      completed
    }
  }
`;

// In your component (Examples of queries & mutations)
export default {
  name: "Tasks",
  methods: {
    toggleComplete(task) {
      const updatedTask = {
        ...task,
        completed: !task.completed,
      };
      this.$apollo
        .mutate({
          mutation: UpdateTask,
          variables: updatedTask,
          update: (store, { data: { updateTask } }) => {
            const data = store.readQuery({ query: ListTasks });
            const index = data.listTasks.items.findIndex(
              (item) => item.id === updateTask.id
            );
            data.listTasks.items[index] = updateTask;
            store.writeQuery({ query: ListTasks, data });
          },
          optimisticResponse: {
            __typename: "Mutation",
            updateTask: {
              __typename: "Task",
              ...updatedTask,
            },
          },
        })
        .then((data) => console.log(data))
        .catch((error) => console.error(error));
    },
    deleteTask(task) {
      this.$apollo
        .mutate({
          mutation: DeleteTask,
          variables: {
            id: task.id,
          },
          update: (store, { data: { deleteTask } }) => {
            const data = store.readQuery({ query: ListTasks });
            data.listTasks.items = data.listTasks.items.filter(
              (task) => task.id !== deleteTask.id
            );
            store.writeQuery({ query: ListTasks, data });
          },
          optimisticResponse: {
            __typename: "Mutation",
            deleteTask: {
              __typename: "Task",
              ...task,
            },
          },
        })
        .then((data) => console.log(data))
        .catch((error) => console.error(error));
    },
    createTask() {
      const taskname = this.taskname;
      if (taskname === "") {
        alert("please create a task");
        return;
      }
      this.taskname = "";
      const id = uuidV4();
      const task = {
        name: taskname,
        id,
        completed: false,
      };
      this.$apollo
        .mutate({
          mutation: CreateTask,
          variables: task,
          update: (store, { data: { createTask } }) => {
            const data = store.readQuery({ query: ListTasks });
            data.listTasks.items.push(createTask);
            store.writeQuery({ query: ListTasks, data });
          },
          optimisticResponse: {
            __typename: "Mutation",
            createTask: {
              __typename: "Task",
              ...task,
            },
          },
        })
        .then((data) => console.log(data))
        .catch((error) => console.error("error!!!: ", error));
    },
  },
  data() {
    return {
      taskname: "",
      tasks: [],
    };
  },
  apollo: {
    tasks: {
      query: () => ListTasks,
      update: (data) => data.listTasks.items,
    },
  },
};

Creating an AppSync Project

To create a new AppSync project, go to https://aws.amazon.com/appsync/.

License

This library is licensed under the Apache License 2.0.

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2,164
star
14

aws-lambda-powertools-python

A developer toolkit to implement Serverless best practices and increase developer velocity.
Python
2,148
star
15

aws-well-architected-labs

Hands on labs and code to help you learn, measure, and build using architectural best practices.
Python
1,834
star
16

aws-config-rules

[Node, Python, Java] Repository of sample Custom Rules for AWS Config.
Python
1,473
star
17

smithy

Smithy is a protocol-agnostic interface definition language and set of tools for generating clients, servers, and documentation for any programming language.
Java
1,356
star
18

aws-support-tools

Tools and sample code provided by AWS Premium Support.
Python
1,290
star
19

open-data-registry

A registry of publicly available datasets on AWS
Python
1,199
star
20

sockeye

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Python
1,181
star
21

aws-lambda-powertools-typescript

Powertools is a developer toolkit to implement Serverless best practices and increase developer velocity.
TypeScript
1,179
star
22

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
Python
1,144
star
23

aws-sdk-ios-samples

This repository has samples that demonstrate various aspects of the AWS SDK for iOS, you can get the SDK source on Github https://github.com/aws-amplify/aws-sdk-ios/
Swift
1,038
star
24

amazon-kinesis-video-streams-webrtc-sdk-c

Amazon Kinesis Video Streams Webrtc SDK is for developers to install and customize realtime communication between devices and enable secure streaming of video, audio to Kinesis Video Streams.
C
1,031
star
25

aws-sdk-android-samples

This repository has samples that demonstrate various aspects of the AWS SDK for Android, you can get the SDK source on Github https://github.com/aws-amplify/aws-sdk-android/
Java
1,018
star
26

aws-solutions-constructs

The AWS Solutions Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions
TypeScript
1,013
star
27

aws-lambda-go-api-proxy

lambda-go-api-proxy makes it easy to port APIs written with Go frameworks such as Gin (https://gin-gonic.github.io/gin/ ) to AWS Lambda and Amazon API Gateway.
Go
1,005
star
28

aws-cfn-template-flip

Tool for converting AWS CloudFormation templates between JSON and YAML formats.
Python
991
star
29

eks-node-viewer

EKS Node Viewer
Go
947
star
30

multi-model-server

Multi Model Server is a tool for serving neural net models for inference
Java
936
star
31

ec2-spot-labs

Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
Jupyter Notebook
905
star
32

aws-saas-boost

AWS SaaS Boost is a ready-to-use toolset that removes the complexity of successfully running SaaS workloads in the AWS cloud.
Java
901
star
33

fargatecli

CLI for AWS Fargate
Go
891
star
34

fortuna

A Library for Uncertainty Quantification.
Python
882
star
35

aws-api-gateway-developer-portal

A Serverless Developer Portal for easily publishing and cataloging APIs
JavaScript
879
star
36

ecs-refarch-continuous-deployment

ECS Reference Architecture for creating a flexible and scalable deployment pipeline to Amazon ECS using AWS CodePipeline
Shell
842
star
37

dynamodb-data-mapper-js

A schema-based data mapper for Amazon DynamoDB.
TypeScript
818
star
38

goformation

GoFormation is a Go library for working with CloudFormation templates.
Go
812
star
39

flowgger

A fast data collector in Rust
Rust
796
star
40

aws-js-s3-explorer

AWS JavaScript S3 Explorer is a JavaScript application that uses AWS's JavaScript SDK and S3 APIs to make the contents of an S3 bucket easy to browse via a web browser.
HTML
771
star
41

aws-icons-for-plantuml

PlantUML sprites, macros, and other includes for Amazon Web Services services and resources
Python
737
star
42

aws-devops-essential

In few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market for new product capabilities.
Shell
674
star
43

aws-apigateway-lambda-authorizer-blueprints

Blueprints and examples for Lambda-based custom Authorizers for use in API Gateway.
C#
660
star
44

amazon-ecs-nodejs-microservices

Reference architecture that shows how to take a Node.js application, containerize it, and deploy it as microservices on Amazon Elastic Container Service.
Shell
650
star
45

aws-deployment-framework

The AWS Deployment Framework (ADF) is an extensive and flexible framework to manage and deploy resources across multiple AWS accounts and regions based on AWS Organizations.
Python
636
star
46

amazon-kinesis-client

Client library for Amazon Kinesis
Java
621
star
47

aws-lambda-web-adapter

Run web applications on AWS Lambda
Rust
610
star
48

dgl-lifesci

Python package for graph neural networks in chemistry and biology
Python
594
star
49

data-on-eks

DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
HCL
590
star
50

aws-security-automation

Collection of scripts and resources for DevSecOps and Automated Incident Response Security
Python
585
star
51

aws-glue-libs

AWS Glue Libraries are additions and enhancements to Spark for ETL operations.
Python
565
star
52

python-deequ

Python API for Deequ
Python
535
star
53

aws-athena-query-federation

The Amazon Athena Query Federation SDK allows you to customize Amazon Athena with your own data sources and code.
Java
507
star
54

amazon-dynamodb-lock-client

The AmazonDynamoDBLockClient is a general purpose distributed locking library built on top of DynamoDB. It supports both coarse-grained and fine-grained locking.
Java
469
star
55

shuttle

Shuttle is a library for testing concurrent Rust code
Rust
465
star
56

ami-builder-packer

An example of an AMI Builder using CI/CD with AWS CodePipeline, AWS CodeBuild, Hashicorp Packer and Ansible.
465
star
57

route53-dynamic-dns-with-lambda

A Dynamic DNS system built with API Gateway, Lambda & Route 53.
Python
461
star
58

aws-servicebroker

AWS Service Broker
Python
461
star
59

diagram-as-code

Diagram-as-code for AWS architecture.
Go
459
star
60

amazon-ecs-local-container-endpoints

A container that provides local versions of the ECS Task Metadata Endpoint and ECS Task IAM Roles Endpoint.
Go
456
star
61

datawig

Imputation of missing values in tables.
JavaScript
454
star
62

aws-jwt-verify

JS library for verifying JWTs signed by Amazon Cognito, and any OIDC-compatible IDP that signs JWTs with RS256, RS384, and RS512
TypeScript
452
star
63

aws-config-rdk

The AWS Config Rules Development Kit helps developers set up, author and test custom Config rules. It contains scripts to enable AWS Config, create a Config rule and test it with sample ConfigurationItems.
Python
444
star
64

ecs-refarch-service-discovery

An EC2 Container Service Reference Architecture for providing Service Discovery to containers using CloudWatch Events, Lambda and Route 53 private hosted zones.
Go
444
star
65

ssosync

Populate AWS SSO directly with your G Suite users and groups using either a CLI or AWS Lambda
Go
443
star
66

handwritten-text-recognition-for-apache-mxnet

This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.
Jupyter Notebook
442
star
67

awscli-aliases

Repository for AWS CLI aliases.
437
star
68

snapchange

Lightweight fuzzing of a memory snapshot using KVM
Rust
436
star
69

threat-composer

A simple threat modeling tool to help humans to reduce time-to-value when threat modeling
TypeScript
426
star
70

aws-security-assessment-solution

An AWS tool to help you create a point in time assessment of your AWS account using Prowler and Scout as well as optional AWS developed ransomware checks.
423
star
71

lambda-refarch-mapreduce

This repo presents a reference architecture for running serverless MapReduce jobs. This has been implemented using AWS Lambda and Amazon S3.
JavaScript
422
star
72

aws-lambda-cpp

C++ implementation of the AWS Lambda runtime
C++
409
star
73

pgbouncer-fast-switchover

Adds query routing and rewriting extensions to pgbouncer
C
396
star
74

aws-sdk-kotlin

Multiplatform AWS SDK for Kotlin
Kotlin
392
star
75

aws-cloudsaga

AWS CloudSaga - Simulate security events in AWS
Python
389
star
76

amazon-kinesis-producer

Amazon Kinesis Producer Library
C++
385
star
77

soci-snapshotter

Go
383
star
78

serverless-photo-recognition

A collection of 3 lambda functions that are invoked by Amazon S3 or Amazon API Gateway to analyze uploaded images with Amazon Rekognition and save picture labels to ElasticSearch (written in Kotlin)
Kotlin
378
star
79

amazon-sagemaker-workshop

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
Jupyter Notebook
378
star
80

serverless-rules

Compilation of rules to validate infrastructure-as-code templates against recommended practices for serverless applications.
Go
378
star
81

logstash-output-amazon_es

Logstash output plugin to sign and export logstash events to Amazon Elasticsearch Service
Ruby
374
star
82

kinesis-aggregation

AWS libraries/modules for working with Kinesis aggregated record data
Java
370
star
83

smithy-rs

Code generation for the AWS SDK for Rust, as well as server and generic smithy client generation.
Rust
369
star
84

syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Python
367
star
85

graphstorm

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
Python
366
star
86

dynamodb-transactions

Java
354
star
87

amazon-kinesis-client-python

Amazon Kinesis Client Library for Python
Python
354
star
88

aws-sigv4-proxy

This project signs and proxies HTTP requests with Sigv4
Go
351
star
89

aws-serverless-data-lake-framework

Enterprise-grade, production-hardened, serverless data lake on AWS
Python
349
star
90

amazon-kinesis-agent

Continuously monitors a set of log files and sends new data to the Amazon Kinesis Stream and Amazon Kinesis Firehose in near-real-time.
Java
342
star
91

rds-snapshot-tool

The Snapshot Tool for Amazon RDS automates the task of creating manual snapshots, copying them into a different account and a different region, and deleting them after a specified number of days
Python
337
star
92

amazon-kinesis-scaling-utils

The Kinesis Scaling Utility is designed to give you the ability to scale Amazon Kinesis Streams in the same way that you scale EC2 Auto Scaling groups โ€“ up or down by a count or as a percentage of the total fleet. You can also simply scale to an exact number of Shards. There is no requirement for you to manage the allocation of the keyspace to Shards when using this API, as it is done automatically.
Java
333
star
93

amazon-kinesis-video-streams-producer-sdk-cpp

Amazon Kinesis Video Streams Producer SDK for C++ is for developers to install and customize for their connected camera and other devices to securely stream video, audio, and time-encoded data to Kinesis Video Streams.
C++
332
star
94

landing-zone-accelerator-on-aws

Deploy a multi-account cloud foundation to support highly-regulated workloads and complex compliance requirements.
TypeScript
330
star
95

statelint

A Ruby gem that provides a command-line validator for Amazon States Language JSON files.
Ruby
330
star
96

generative-ai-cdk-constructs

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
TypeScript
327
star
97

route53-infima

Library for managing service-level fault isolation using Amazon Route 53.
Java
326
star
98

aws-automated-incident-response-and-forensics

326
star
99

mxboard

Logging MXNet data for visualization in TensorBoard.
Python
326
star
100

crossplane-on-eks

Crossplane bespoke composition blueprints for AWS resources
HCL
319
star