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This package provides a golang wrapper for parsing gocui keybindings.
This package provides helper methods/structs that involve generics which were added in Go 1.18.
Package xdg impelements the XDG standard for application file locations.
Package easyjson provides a fast and easy way to marshal/unmarshal Go structs to/from JSON without the use of reflection.
This package provides an alternative implementation of standard encoding/json with higher performance.
Package str is a comprehensive set of string functions to build more Go awesomeness. Str complements Go's standard packages and does not duplicate functionality found in `strings` or `strconv`.
Package logfmt implements utilities to marshal and unmarshal data in the logfmt format. The logfmt format records key/value pairs in a way that balances readability for humans and simplicity of computer parsing. It is most commonly used as a more human friendly alternative to JSON for structured logging.
This is a package for detecting MIME types and extensions based on magic numbers. Features include
fast and precise MIME type and file extension detection
long list of supported MIME types
common file formats are prioritized
small and simple API
handles MIME type aliases
thread safe
low memory usage, besides the file header
This package provides functionality for killing processes across different platforms. Handles killing children of processes as well as the process itself.
This package provides a GraphQL client and code generator for Go.
Package shlex provides a simple lexical analysis like Unix shell.
IIPImage is an advanced high-performance feature-rich image server system for web-based streamed viewing and zooming of ultra high-resolution images. It is designed to be fast and bandwidth-efficient with low processor and memory requirements. The system can comfortably handle gigapixel size images as well as advanced image features such as 8, 16 and 32 bits per channel, CIELAB colorimetric images and scientific imagery such as multispectral images, image sequences and 3D surface topologies. Features:
fast lightweight FastCGI server
high performance with inbuilt configurable cache
support for extremely large images: tera-pixel and multi gigapixel support
TIFF and JPEG2000 input support
JPEG, PNG and WebP output support: export of whole or regions of images at any size
supports IIP, Zoomify, DeepZoom and IIIF API's
1, 8, 16 and 32 bit image support including 32 bit floating point support
CIELAB support with automatic CIELAB->sRGB color space conversion
multispectral and hyperspectral image support
image stacks and image sequence support
dynamic hillshading of 3D surface topologies
dynamic watermarking
memcached support
This package provides a RocksDB-based capture index (CDX) server for web archives.
This package provides a wrapper for the erfa library.
This package provides a wrapper for the wcs library.
Julia package for enhancing and manipulating image contrast.
This package provides a Julia ImageDistances.jl following the same API as Distances.jl with support image types and image-specific distances.
DimensionalData.jl provides tools and abstractions for working with datasets that have named dimensions, and optionally a lookup index. It provides no-cost abstractions for named indexing, and fast index lookups.
DimensionalData is a pluggable, generalised version of AxisArrays.jl with a cleaner syntax, and additional functionality found in NamedDims.jl. It has similar goals to Python's xarray, and is primarily written for use with spatial data in Rasters.jl.
Accessors.jl is the successor of Setfield.jl to make updating immutable data simple.
This package defines a thin wrapper which, alongside any array, stores a vector of "keys" for each dimension. This may be useful to store perhaps actual times of measurements, or some strings labeling columns, etc. These will be propagated through many operations on arrays (including broadcasting, map, comprehensions, sum etc.) and altered by a few (sorting, fft, push!).
This package contains simple routines for finding roots, or zeros, of scalar functions of a single real variable using floating-point math. The find_zero function provides the primary interface. The basic call is find_zero(f, x0, [M], [p]; kws...) where, typically, f is a function, x0 a starting point or bracketing interval, M is used to adjust the default algorithms used, and p can be used to pass in parameters.