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25–48 of 168 · Most stars

Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.

HCL is the HashiCorp configuration language.

  • hcl
  • configuration-language
  • hashicorp
  • json

✨ PTerm is a modern Go module to easily beautify console output. Featuring charts, progressbars, tables, trees, text input, select menus and much more 🚀 It's completely configurable and 100% cross-platform compatible.

  • go
  • golang
  • golang-library
  • pretty-print

Simple, extremely lightweight, extensible, configuration management library for Go. Supports JSON, TOML, YAML, env, command line, file, S3 etc. Alternative to viper.

An idiomatic Go (golang) validation package. Supports configurable and extensible validation rules (validators) using normal language constructs instead of error-prone struct tags.

  • validation
  • golang
  • go
  • ozzo

Package ini provides INI file read and write functionality in Go

rs /cors

Go2.9K238

Go net/http configurable handler to handle CORS requests

Flagr is a feature flagging, A/B testing and dynamic configuration microservice

  • feature-flags
  • ab-testing
  • golang
  • dynamic-configuration

Go (golang) package with 90 configurable terminal spinner/progress indicators.

  • go
  • golang
  • spinner
  • statusbar

Saves up to 90% of AWS EC2 costs by automating the use of spot instances on existing AutoScaling groups. Installs in minutes using CloudFormation or Terraform. Convenient to deploy at scale using StackSets. Uses tagging to avoid launch configuration changes. Automated spot termination handling. Reliable fallback to on-demand instances.

Configurable Go value and struct dumps with colorized output, type visibility controls, and field redaction.

Highly configurable slideshows for displaying Immich assets on browsers and devices.

  • golang
  • immich
  • immich-slideshow
  • photos

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.