Search Results for "writing shell scripts"
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Showing 12 open source projects for "writing shell scripts"
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1
sh
A shell parser, formatter, and interpreter with bash support
A shell parser, formatter, and interpreter. Supports POSIX Shell, Bash, and mksh. Requires Go 1.16 or later. To parse shell scripts, inspect them, and print them out, see the syntax examples. For high-level operations like performing shell expansions on strings, see the shell examples. shfmt formats shell programs. See canonical.sh for a quick look at its default style. shfmt formats shell programs. -
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Gum
A tool for glamorous shell scripts
A tool for glamorous shell scripts. Leverage the power of Bubbles and Lip Gloss in your scripts and aliases without writing any Go code! Gum provides highly configurable, ready-to-use utilities to help you write useful shell scripts and dotfiles aliases with just a few lines of code. Let's build a simple script to help you write Conventional Commits for your dotfiles. -
3
yq
Portable command-line YAML processor
yq is a portable and lightweight command-line YAML processor. It can be likened to projects like jq (a command-line JSON processor) or sed but for YAML files. yq is able to do quite a number of things. It can deep read a YAML file with a given path expression, deeply compare YAML files, update a YAML file given a path expression or script file, and so much more. It can also merge several YAML files while offering plenty of options for overriding and appending. yq is written in portable... -
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GoReleaser
Deliver Go binaries as fast and easily as possible
...Generate SBOMs (Software Bill of Materials) for binaries and container images. GoReleaser was created to solve a problem we all had at some point: releasing software is boring and error prone. Generally speaking, those scripts tend to not be reusable and have dependencies on many other tools - which makes it hard to run the process on other machines. GoReleaser aims to make all these scripts obsolete: instead of writing scripts, you write a simple YAML configuration file; instead of many tools, you (usually) only need a single goreleaser binary. -
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5
gogcli
Google Suite CLI: Gmail, GCal, GDrive, GContacts
...It’s particularly useful for developers who want to build integrations, handle bulk operations, or build tooling that interacts with Google APIs in CI/CD pipelines or automation scripts. -
6
wait4x
Wait4X allows you to wait for a port or a service to enter the request
wait4x is a command-line utility for waiting on the availability of TCP, HTTP(s), and command-based targets. It is useful in scripts and containerized environments to ensure dependencies are ready before proceeding. wait4x is designed to be a drop-in replacement for other wait tools, but with more flexibility and protocol support. -
7
Certificate Transparency Go
Auditing for TLS certificates (Go code)
certificate-transparency-go is a Go codebase for building and interacting with Certificate Transparency (CT) systems, from low-level parsing to full log operation. It includes forked ASN.1 and X.509 packages tailored to accept and analyze real-world certificates, including pre-certificates that stricter libraries would reject, supporting CT’s role as an ecosystem observatory. A TLS parsing library, CT data types, and multiple client libraries enable access to CT logs over HTTP and DNS, along... -
8
Goss
Quick and Easy server testing/validation
For testing docker containers see the dgoss wrapper. Also, user submitted wrapper scripts for Kubernetes kgoss and Docker Compose dcgoss. Goss is a YAML-based serverspec alternative tool for validating a server’s configuration. It eases the process of writing tests by allowing the user to generate tests from the current system state. Once the test suite is written they can be executed, waited-on, or served as a health endpoint. -
9
Hoverfly
Lightweight service virtualization/ API simulation / API mocking tool
...Replace unreliable test systems and restrictive API sandboxes with high-performance simulations in seconds. Run on MacOS, Windows or Linux, or use native Java or Python language bindings to get started quickly. Simulate API latency or failure when required by writing custom scripts in the language of your choice. -
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10
GoAWK
A POSIX-compliant AWK interpreter written in Go, with CSV support
GoAWK now uses a bytecode compiler and includes native support for CSV files. AWK is a fascinating text processing language, and The AWK Programming Language is a wonderfully concise book describing it. The A, W, and K in AWK stand for the surnames of the three original creators: Alfred Aho, Peter Weinberger, and Brian Kernighan. Kernighan is also an author of The C Programming Language (“K&R”), and the two books have that same each-page-packs-a-punch feel. AWK was released in 1977, which... -
11
The CUE Data Constraint Language
The home of the CUE language. Validate and define text-based config
CUE is an open source data constraint language which aims to simplify tasks involving defining and using data. CUE merges the notion of schema and data. The same CUE definition can simultaneously be used for validating data and act as a template to reduce boilerplate. Schema definition is enriched with fine-grained value definitions and default values. At the same time, data can be simplified by removing values implied by such detailed definitions. The merging of these two concepts enables... -
12
bashful
Use a yaml file to stitch together commands and bash snippits
bashful is a command-line tool written in Go that allows you to define your build, automation or scripting workflow declaratively in YAML and have tasks executed in either series or parallel, with pretty progress output, logging, error handling, and orchestration instead of manually writing large bash scripts. The idea is that your bash automation should be “quiet and shy-like” rather than verbose and messy, so bashful provides a structured way to describe tasks (commands, downloads, nested operations) in a YAML file, and then run them with a nice terminal UI showing progress bars, logs, ETAs, etc. It supports features such as downloading scripts, bundling sets of commands and resources, tagging tasks, running subsets via tags, logging both stdout and stderr, and error-handling policies (e.g., which commands should halt execution on failure). ...
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