Docker Distribution is a Docker toolset to pack, ship, store, and deliver content. It contains Docker Registry 2.0 and libraries to interact with distribution components.

Package wincred provides primitives for accessing the Windows Credentials Management API. This includes functions for retrieval, listing and storage of credentials as well as Go structures for convenient access to the credential data.

Go library for input handling using Windows Console API.

This package provides an easy way of parsing and manipulating struct tag fields. Please vendor the library as it might change in future versions.

This package provides a multi-progress bar for Go command-line applications. It supports multiple progress bars, customizable decorators, and dynamic bar addition/removal.

The ical package provides an ICS/iCalender parser and serialiser for Go.

This package provides a Golang library implementing a shell parser, formatter, and interpreter with bash support.

This package provides a fast and simple way to set a value in a JSON document.

This package provides a very simple thread-safe progress bar. The progressbar implements an io.Writer so it can automatically detect the number of bytes written to a stream, so you can use it as a progressbar for an io.Reader. When progressbar's length is undetermined, a customizable spinner is shown.

This package implements a functionality to tag traces.

This package implements recursive copy functionality for directory.

This package provides fixtures used by go-git.

This package provides a Go library to create and print diffs.

This package implements a very simple parser for a YAML-like config language for Golang.

Package btrfs provides bindings for working with btrfs partitions from Go. The Linux kernel headers are only required on compilation time, not on run time.

Package pubsub implements a simple multi-topic pub-sub library.

This package generates ASCII tables. Features:

• automatic Padding

• support Multiple Lines

• supports Alignment

• support Custom Separators

• automatic Alignment of numbers and percentage

• write directly to http , file etc via io.Writer

• read directly from CSV file

• optional row line via SetRowLine

• normalise table header

• make CSV Headers optional

• enable or disable table border

• set custom footer support

• optional identical cells merging

• set custom caption

• optional reflowing of paragrpahs in multi-line cells

This package provides a command line interface (CLI) tool.

Timberjack is a Go log rolling library with support for size-based, time-based, and manual rotation.

Go library for the TOML configuration language This package provides command line interface (CLI) tools.

This is a Unix utility that outputs randomness. It is a thin wrapper around crypto/rand.

Package pgconn is a low-level PostgreSQL database driver. It operates at nearly the same level as the C library libpq.

It is primarily intended to serve as the foundation for higher level libraries such as https://github.com/jackc/pgx. Applications should handle normal queries with a higher level library and only use pgconn directly when required for low-level access to PostgreSQL functionality.

Package smetrics provides a bunch of algorithms for calculating the distance between strings. There are implementations for calculating the popular Levenshtein distance (aka Edit Distance or Wagner-Fischer), as well as the Jaro distance, the Jaro-Winkler distance, and more.

This is a pure Go implementation of the MySQL API, compatible with golang's database/sql package.

This package provides is a Machine Learning library written in pure Go designed to support relevant neural architectures in Natural Language Processing.

It is self-contained, in that it uses its own lightweight computational graph both for training and inference, easy to understand from start to finish.

It provides:

• automatic differentiation via dynamic define-by-run execution

• feed-forward layers (Linear, Highway, Convolution...)

• recurrent layers (LSTM, GRU, BiLSTM...)

• attention layers (Self-Attention, Multi-Head Attention...)

• gradient descent optimizers (Adam, RAdam, RMS-Prop, AdaGrad, SGD)

• gob compatible neural models for serialization