ferret is a web scraping system. It aims to simplify data extraction from the web for UI testing, machine learning, analytics and more. ferret allows users to focus on the data. It abstracts away the technical details and complexity of underlying technologies using its own declarative language. It is extremely portable, extensible, and fast. It as the ability to scrape JS rendered pages, handle all page events and emulate user interactions. 
 
ferret uses Chrome/Chromium via Chrome Devtools Protocol to handle dynamically rendered web pages. It helps you to focus on the data you need using an easy to learn declarative language.

ferret is a web scraping system. It aims to simplify data extraction from the web for UI testing, machine learning, analytics and more.  ferret allows users to focus on the data. It abstracts away the technical details and complexity of underlying technologies using its own declarative language. It is extremely portable, extensible, and fast. It as the ability to scrape JS rendered pages, handle all page events and emulate user interactions. 

ferret - Declarative web scraping

Fast HTTP microservice written in Go for high-level image processing backed by bimg and libvips. imaginary can be used as private or public HTTP service for massive image processing with first-class support for Docker & Fly.io. It's almost dependency-free and only uses net/http native package without additional abstractions for better performance.
 
imaginary can read images from HTTP POST payloads, server local path or remote HTTP servers, supporting JPEG, PNG, WEBP, HEIF, and optionally TIFF, PDF, GIF and SVG formats if libvips@8.3+ is compiled with proper library bindings. It is is able to output images as JPEG, PNG and WEBP formats, including transparent conversion across them.

Fast HTTP microservice written in Go for high-level image processing backed by bimg and libvips. imaginary can be used as private or public HTTP service for massive image processing with first-class support for Docker & Fly.io. It's almost dependency-free and only uses net/http native package without additional abstractions for better performance.

imaginary - Fast, simple, stateless HTTP microservice for high-level image processing with first-class support for Docker & Heroku

Mattermost is an open source platform for secure collaboration across the entire software development lifecycle. It is as an alternative to proprietary SaaS messaging, Mattermost brings all your team communication into one place, making it searchable and accessible anywhere. 
 
Mattermost is the only all-in-one solution for developers to collaborate without sacrificing security. Its integrated platform is designed around Channel-based collaboration that connects your people, processes, and tools. Kanban-style Boards make managing projects easier than ever, while Playbooks provide prescribed workflows that drive reliable and repeatable outcomes based on your team’s processes.

Mattermost is an open source platform for secure collaboration across the entire software development lifecycle. It is as an alternative to proprietary SaaS messaging, Mattermost brings all your team communication into one place, making it searchable and accessible anywhere. 



Mattermost - Self-hosted Team Communication Service

Buffalo is a Go web development eco-system. Designed to make the life of a Go web developer easier. Buffalo starts by generating a web project for you that already has everything from front-end (JavaScript, SCSS, etc...) to back-end (database, routing, etc...) already hooked up and ready to run. From there it provides easy APIs to build your web application quickly in Go.
 
Buffalo uses Gorilla toolkit to manage routes, sessions, cookies. It has ORM support to handle relational and non-relational databases. Regarding templates, it has support for <a href="https://github.com/gobuffalo/plush" target="_blank" rel="noopener">Plush</a> which has Rails-like syntax.
 
Buffalo helps you to define test suites. Action, resource, model generators create test templates for the code you just generated.

Buffalo is a Go web development eco-system. Designed to make the life of a Go web developer easier. Buffalo starts by generating a web project for you that already has everything from front-end (JavaScript, SCSS, etc...) to back-end (database, routing, etc...) already hooked up and ready to run. From there it provides easy APIs to build your web application quickly in Go.

Buffalo - Rapid Web Development for Go

Doozer is a highly-available, completely consistent store for small amounts of extremely important data. When the data changes, it can notify connected clients immediately (no polling), making it ideal for infrequently-updated data for which clients want real-time updates. Doozer is good for name service, database master elections, and configuration data shared between several machines.

Doozer -  A consistent distributed data store

Abot (pronounced Eh-Bot, like the Canadians) is a digital assistant framework that enables anyone to easily build a digital assistant similar to Apple's Siri, Microsoft's Cortana, Google Now, or Amazon Alexa. Further, Abot supports a human-aided training backend enabling anyone to build services like Facebook M. Abot is the first A.I. framework that aims to be available everywhere and— ultimately—to do everything.

Abot - Digital Assistant Framework

Redcon is a custom Redis server framework for Go that is fast and simple to use. The reason for this library it to give an efficient server front-end for the BuntDB and Tile38 projects. Redcon has full TLS support.

Redcon - Redis compatible server framework for Go

A user shell for isolated, containerized environments. dockersh is designed to be used as a login shell on machines with multiple interactive users. When a user invokes dockersh, it will bring up a Docker container (if not already running), and then spawn a new interactive shell in the container's namespace.
 
ou want to allow multiple users to ssh onto a single box, but you'd like some isolation between those users. With dockersh each user enters their own individual docker container (acting like a lightweight virtual machine), with their home directory mounted from the host system (so that user data is persistent between container restarts), but with its own kernel namespaces for processes and networking.
 
This means that the user is isolated from the rest of the system, and they can only see their own processes, and have their own network stack. This gives better privacy between users, and can also be used for more easily separating each user's processes from the rest of the system with per user constraints.

A user shell for isolated, containerized environments. dockersh is designed to be used as a login shell on machines with multiple interactive users. When a user invokes dockersh, it will bring up a Docker container (if not already running), and then spawn a new interactive shell in the container's namespace.

dockersh -  A shell which places users into individual docker containers

pq is a pure Go postgres driver for Go's database/sql package. Its features include
<ul>
<li>SSL</li>
<li>Handles bad connections for <code>database/sql</code></li>
<li>Scan <code>time.Time</code> correctly (i.e. <code>timestamp[tz]</code>, <code>time[tz]</code>, <code>date</code>)</li>
<li>Scan binary blobs correctly (i.e. <code>bytea</code>)</li>
<li>Package for <code>hstore</code> support</li>
<li>COPY FROM support</li>
<li>pq.ParseURL for converting urls to connection strings for sql.Open.</li>
<li>Many libpq compatible environment variables</li>
<li>Unix socket support</li>
<li>Notifications: <code>LISTEN</code>/<code>NOTIFY</code></li>
<li>pgpass support</li>
</ul>

pq is a pure Go postgres driver for Go's database/sql package.

pq - Pure Go Postgres driver for database/sql

TextQL allows you to easily execute SQL against structured text like CSV or TSV. 

TextQL - Execute SQL against structured text like CSV or TSV

Dry is a terminal application to manage Docker. It shows information about Containers, Images and Networks, and, if running a Docker Swarm, it also shows all kinds of information about the state of the Swarm cluster. It can connect to both local or remote Docker daemons. Besides showing information, it can be used to manage Docker. Most of the commands that the official Docker CLI has, are available in dry with the same behaviour. 

Dry - A Docker container manager for the terminal

Gomega is a matcher/assertion library. It is best paired with the Ginkgo BDD test framework, but can be adapted for use in other contexts too.

Gomega - Ginkgo's Preferred Matcher Library

 A very small library to build modern HTML5 desktop apps in Go. It uses Chrome browser as a UI layer. Unlike Electron it doesn't bundle Chrome into the app package, but rather reuses the one that is already installed. Lorca establishes a connection to the browser window and allows calling Go code from the UI and manipulating UI from Go in a seamless manner. 

lorca - Build cross-platform modern desktop apps in Go + HTML5

Cadence is a distributed, scalable, durable, and highly available orchestration engine we developed at Uber Engineering to execute asynchronous long-running business logic in a scalable and resilient way.
 
Business logic is modeled as workflows and activities. Workflows are the implementation of coordination logic. Its sole purpose is to orchestrate activity executions. Activities are the implementation of a particular task in the business logic. The workflow and activity implementation are hosted and executed in worker processes. These workers long-poll the Cadence server for tasks, execute the tasks by invoking either a workflow or activity implementation, and return the results of the task back to the Cadence server. Furthermore, the workers can be implemented as completely stateless services which in turn allows for unlimited horizontal scaling.

Cadence is a distributed, scalable, durable, and highly available orchestration engine we developed at Uber Engineering to execute asynchronous long-running business logic in a scalable and resilient way.

Cadence - Distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way

Kapacitor is a open source framework for processing, monitoring, and alerting on time series data. Kapacitor imports (stream or batch) time series data, and then transform, analyze, and act on the data. It uses Telegraf to collect system metrics on your local machine and store them in InfluxDB.
 
Kapacitor’s alerting system follows a publish-subscribe design pattern. Alerts are published to topics and handlers subscribe to a topic. This pub/sub model and the ability for these to call User Defined Functions make Kapacitor very flexible to act as the control plane in your environment, performing tasks like auto-scaling, stock reordering, and IoT device control.

Kapacitor is a open source framework for processing, monitoring, and alerting on time series data. Kapacitor imports (stream or batch) time series data, and then transform, analyze, and act on the data. It uses Telegraf to collect system metrics on your local machine and store them in InfluxDB.

Kapacitor - Open source framework for processing, monitoring, and alerting on time series data

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