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☁️ A curated list of awesome services, solutions and resources for serverless / nobackend applications.

The best way to write secure and reliable applications. Write nothing; deploy nowhere.

StatsD to Prometheus metrics exporter

DoctorK is a service for Kafka cluster auto healing and workload balancing

Deploy infinitely scalable serverless apps, apis, and sites in seconds to AWS.

The Amazon DynamoDB Storage Backend for JanusGraph

Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management

freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.

A collective list of free APIs

A complete computer science study plan to become a software engineer.

An opinionated list of Python frameworks, libraries, tools, and resources

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

A tool for building artifacts from source and injecting into container images

Swagger Editor

Google Container Engine, JupyterHub, and Jupyter for classroom scenarios

Google Datalab Library

[Deprecated] Data 8's deployment of JupyterHub on Kubernetes

Set up a modern web app by running one command.

Fast and Simple Serverless Functions for Kubernetes

Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

A simple Flask boilerplate app with SQLAlchemy, Redis, User Authentication, and more.

A low-latency prediction-serving system

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

Open source time series library for Python

An open IDE for web and native mobile development, built on top of Atom

Secor is a service implementing Kafka log persistence

Compilation of Dockerfiles with automated builds enabled on the Docker Registry

Minimal and clean examples of machine learning algorithms implementations