Search Results for "structs"
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Showing 83 open source projects for "structs"
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1
Setfield.jl
Update deeply nested immutable structs
Update deeply nested immutable structs. We plan to maintain Setfield.jl for a long time. We will however not add new features. -
2
Mergo
Mergo: merging Go structs and maps since 2013
A helper to merge structs and maps in Golang. Useful for configuration default values, avoiding messy if-statements. Mergo merges same-type structs and maps by setting default values in zero-value fields. Mergo won't merge unexported (private) fields. It will do recursively any exported one. It also won't merge structs inside maps (because they are not addressable using Go reflection). -
3
gopsutil
psutil for golang
gopsutil tag policy is almost same as Semantic Versioning but automatically increases like Ubuntu versioning. gopsutil aims to keep backward compatibility until a major version change. Tagged at the end of the month, but if there are only a few commits, it can be skipped. All works are implemented without cgo by porting C structs to golang structs. -
4
Scany
Library for scanning data from a database into Go structs and more
...It provides great control and efficiency in your queries, but here is a problem: you need to manually iterate over database rows and scan data from all columns into a corresponding destination. It can be error-prone verbose and just tedious. scany aims to solve this problem. It allows developers to scan complex data from a database into Go structs and other composite types with just one function call and doesn't bother with row iteration. -
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5
go-jsonschema
A tool to generate Go data types from JSON Schema definitions
go-jsonschema is a tool to generate Go data types from JSON Schema definitions. This tool generates Go data types and structs that corresponds to definitions in the schema, along with unmarshalling code that validates the input JSON according to the schema's validation rules. -
6
moq
Interface mocking tool for go generate
Moq is a Go interface mocking tool designed to generate test-friendly mock structs from existing interfaces. It is commonly used with go generate so teams can keep mock implementations synchronized with their source interfaces. Instead of relying on a large mocking framework, Moq creates straightforward Go code that can be inspected, edited, and used directly in tests. The generated structs allow developers to define function behavior for each mocked method. -
7
Go QueryString
go-querystring is Go library for encoding structs into URL query
go-querystring is a lightweight Go library developed by Google for encoding Go structs into URL query strings. It simplifies the process of constructing URLs with typed parameters, offering a clean, type-safe approach to building query strings programmatically. The library’s query package exposes a single Values() function that converts struct fields (tagged with url tags) into properly encoded query parameters. It is particularly useful for APIs or HTTP clients that represent query parameters as structs—such as in the go-github client library. ... -
8
q Go
Quick and dirty debugging output for tired Go programmers
...Type q.Q instead of fmt.Printf and your variables will be printed like the provided example. Faster to type, pretty-printed vars and expressions. Easier to see inside structs, doesn't go to noisy-ass stdout. It goes to $TMPDIR/q. q Go offers pretty colors! -
9
wasm-bindgen
Facilitating high-level interactions between Wasm modules and Js
wasm-bindgen is a foundational Rust tool that enables seamless interoperability between Rust and JavaScript by generating the necessary bindings and glue code for WebAssembly modules. It allows developers to write performance-critical code in Rust, compile it to WebAssembly, and then expose functions, structs, and APIs directly to JavaScript in a natural and idiomatic way. The tool automates the process of bridging differences between Rust’s type system and JavaScript’s dynamic environment, making cross-language integration significantly easier. One of its key design principles is efficiency, following a “pay only for what you use” model where only the required bindings are generated, minimizing unnecessary overhead. ... -
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10
go-restful
Package for building REST-style Web Services using Go
...Filters for intercepting the request-response flow on Service or Route level. Request-scoped variables using attributes. Route errors produce HTTP 404/405/406/415 errors, customizable using ServiceErrorHandler(...). Request API for reading structs from JSON/XML and accessing parameters (path, query, header). Customizable gzip/deflate readers and writers using CompressorProvider registration. There are several hooks to customize the behavior of the go-restful package. -
11
Participle
A parser library for Go
Participle is a parser library for Go that lets developers define parsers in an idiomatic Go style. It uses annotated Go structs to describe grammar rules and produce the parsed AST at the same time. This approach feels familiar to Go developers because it resembles the way struct tags are used for formats such as JSON. The library supports a rich grammar syntax with captures, recursive captures, grouping, alternatives, repetition, lookahead, and literal matching. -
12
ozzo-validation
An idiomatic Go (golang) validation package
...It has the following features. Use normal programming constructs rather than error-prone struct tags to specify how data should be validated. Can validate data of different types, e.g., structs, strings, byte slices, slices, maps, and arrays. Can validate custom data types as long as they implement the Validatable interface. Can validate data types that implement the sql.Valuer interface (e.g. sql.NullString). Customizable and well-formatted validation errors. Error code and message translation support. Provide a rich set of validation rules right out of the box. ... -
13
ojg
Optimized JSON for Go
Optimized JSON for Go is a high-performance parser with a variety of additional JSON tools. OjG is optimized to processing huge data sets where data does not necessarily conform to a fixed structure. -
14
Parameters.jl
Types w/ default field values, keyword constructors, (un-)pack macros
This is a package I use to handle numerical-model parameters, thus the name. However, it should be useful otherwise too. -
15
Functors.jl
Parameterise all the things
Functors.jl provides tools to express a powerful design pattern for dealing with large/ nested structures, as in machine learning and optimization. For large machine learning models, it can be cumbersome or inefficient to work with parameters as one big, flat vector, and structs help manage complexity; but it is also desirable to easily operate over all parameters at once, e.g. for changing precision or applying an optimizer update step. -
16
Zygote
21st century AD
Zygote provides source-to-source automatic differentiation (AD) in Julia, and is the next-gen AD system for the Flux differentiable programming framework. For more details and benchmarks of Zygote's technique, see our paper. You may want to check out Flux for more interesting examples of Zygote usage; the documentation here focuses on internals and advanced AD usage. -
17
Orange ORM
The ultimate ORM for Node and Typescript
Orange ORM is a lightweight, reflection-free ORM for Go that emphasizes performance and direct control. It provides a SQL-like fluent API and struct tagging system to map Go structs to database tables. Orange ORM supports PostgreSQL, MySQL, and SQLite, making it suitable for fast, embedded, or minimal-dependency applications. -
18
GRDB.swift
A toolkit for SQLite databases
GRDB.swift is a comprehensive SQLite toolkit for Swift developers, providing type-safe database access through mapping to Swift structs and records. It offers query building, migrations, concurrency control, and Swift Codable integration—ideal for local or embedded data persistence in iOS, macOS, and cross-platform Swift applications. -
19
GORM
The fantastic ORM library for Golang, aims to be developer friendly
GORM is a powerful, developer-friendly ORM library for Go. It maps Go structs to DB tables, supports relationships, hooks, transactions, eager loading, raw SQL, migrations, and advanced querying with plugins. -
20
Nostrum
Elixir Discord Library
An Elixir library for the Discord API. Nostrum supports clean REST API implementation and rate-limiting, and automatic, configurable maintenance of local caches of Discord data, with extensive query support and cache swapping functionality. -
21
Bevy
A refreshingly simple data-driven game engine built in Rust
...All engine and game logic uses Bevy ECS, a custom Entity Component System. Massively Parallel and Cache-Friendly. The fastest ECS according to some benchmarks. Components are Rust structs, Systems are Rust functions. Queries, Global Resources, Local Resources, Change Detection, Lock-Free Parallel Scheduler. Bevy is still in the very early stages of development. APIs can and will change (now is the time to make suggestions!). Important features are missing. Documentation is sparse. Please don't build any serious projects in Bevy unless you are prepared to be broken by API changes constantly. ... -
22
Swift
The Swift Programming Language
Swift is a high-performance, general-purpose programming language built with a modern approach to safety, performance, and software design patterns. With a clean and modern syntax, it offers seamless access to existing C and Objective-C code and frameworks. Swift makes it easy to write software that is incredibly fast and safe by design. It comes packaged with core features like flow control, data structures and functions, with high-level constructs like objects, protocols, closures, and... -
23
easyjson
Fast JSON serializer for golang
Package easyjson provides a fast and easy way to marshal/unmarshal Go structs to/from JSON without the use of reflection. In performance tests, easyjson outperforms the standard encoding/json package by a factor of 4-5x, and other JSON encoding packages by a factor of 2-3x. easyjson aims to keep generated Go code simple enough so that it can be easily optimized or fixed. Another goal is to provide users with the ability to customize the generated code by providing options not available with the standard encoding/json package, such as generating "snake_case" names or enabling omitempty behavior by default. -
24
env
A simple and zero-dependencies library to parse environment variables
Parse environment variables to structs in Go. In Go, it’s dead simple to get the value from an environment variable. If you have a type that is not supported out of the box by the lib, you are able to use (or define) and pass custom parsers (and their associated reflect.Type) to the env.ParseWithFuncs() function. Env supports by default anything that implements the TextUnmarshaler interface. -
25
DuckDB
DuckDB is an in-process SQL OLAP Database Management System
...DuckDB provides a rich SQL dialect, with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs), and more. For more information on the goals of DuckDB, please refer to the Why DuckDB page on our website. Processing and storing tabular datasets, e.g. from CSV or Parquet files. Interactive data analysis, e.g. Joining & aggregate multiple large tables. Concurrent large changes, to multiple large tables, e.g. appending rows, adding/removing/updating columns. ...
