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msgspec is a high-performance data modeling, serialization, and schema validation toolkit for Python. It serves as a type-safe serialization framework that integrates schema enforcement and data parsing into a single pass, functioning as both a data serialization library and a schema validation system based on standard Python type annotations. The project distinguishes itself through high-performance structural primitives, including compilation-based routine generation and zero-copy buffer parsing. It optimizes memory usage via garbage collection-aware layouts and reduces processing overhead
Kong is a declarative command line interface framework and parser for Go. It maps flags and positional arguments directly into typed Go structures using struct tags, allowing developers to define terminal interfaces through data models rather than manual parsing logic. The project functions as a configuration mapper that populates Go structures from a combination of command-line arguments, environment variables, and JSON files. It distinguishes itself by providing a dependency injection container to pass external services into command handlers and a plugin architecture for dynamic command reg
envconfig is a Go configuration decoder and environment variable mapper that deserializes environment variables into structured Go data types. It provides tools for validating mandatory fields and ensuring application configuration adheres to the external configuration patterns of twelve-factor app compliance. The library features a help generator that creates formatted usage text based on struct definitions to describe expected environment variables. It also includes a validation tool capable of detecting unused environment variables that match a specific prefix but do not correspond to any
This library is a YAML encoder and decoder for native Go data structures. It provides the tools necessary to transform internal data into YAML formatted text and convert YAML input streams back into structured data. The parser includes built-in protections against resource exhaustion attacks by enforcing limits on document depth and alias resolution. It also ensures deterministic output by employing consistent key sorting for maps. The project covers serialization and deserialization workflows, including struct mapping and custom marshaling interfaces. It also handles input encoding detectio
This is a TOML parser and serializer for the Go language. It serves as a data serialization library and configuration file mapper that encodes and decodes data between Go structures and the TOML configuration format.
The main features of burntsushi/toml are: TOML Parsers, TOML Serializers and Parsers, Data Serialization and Parsing, TOML Serializers, Data Serialization Libraries, Structured Object Mappings, Application Configuration Management, Configuration Mappers.
Open-source alternatives to burntsushi/toml include: msgspec/msgspec — msgspec is a high-performance data modeling, serialization, and schema validation toolkit for Python. It serves as a… alecthomas/kong — Kong is a declarative command line interface framework and parser for Go. It maps flags and positional arguments… kelseyhightower/envconfig — envconfig is a Go configuration decoder and environment variable mapper that deserializes environment variables into… go-yaml/yaml — This library is a YAML encoder and decoder for native Go data structures. It provides the tools necessary to transform… facebookresearch/hydra — Hydra is a hierarchical configuration framework and type-safe configuration manager. It is designed to manage complex… spf13/viper — Viper is a configuration management library designed to centralize application settings from diverse sources into a…