DRY data seeding for sails
DRY data seeding for mongoose
DRY data seeding for sails
The command line interface for PostHog 🦔
A toolkit for JavaScript codemods
Install missing TypeScript typings for your dependencies.
Delete files and directories - Cross-platform
A simple utility to quickly replace text in one or more files.
Empty npm package to "uninstall" unused transitive dependencies
ClawHub CLI \u2014 install, update, search, and publish skills plus OpenClaw packages.
Datadog CI plugin for `sarif` commands
React hook library, ready to use, written in Typescript.
CLI tool to auto-fix verbatimModuleSyntax errors
Syntax highlighting in your terminal
Datadog CI plugin for `deployment` commands
Detect file name case changes in a Git repository
Fix the React 2 Shell vulnerability (CVE-2025-66478) in Next.js apps with one command
Uses [`@percy/config`](/packages/config) to add CLI commands for creating, validating, and updating Percy configuration files.
Angular Schematics - CLI
Datadog CI plugin for `coverage` commands
Percy CLI commands for running a local snapshot server using [`@percy/core`](./packages/core).
Provides Codemod transformations to help upgrade your Turborepo codebase when a feature is deprecated.
Datadog CI plugin for `dora` commands
Datadog CI plugin for `gate` commands
Simple type-system for Ruby
Simplifies dry-data usage with Rails.
DRY-up Rails controllers by leveraging interchangeable conductors to export data
DRY-up Rails controllers by leveraging interchangeable conductors to export data
DataShifter: backfills and one-off fixes as rake tasks. Dry run by default, auto rollback, progress bars, consistent summaries.
GuideRail transforms various data sources into safe, immutable `Data` objects. By leveraging the robust validation capabilities of `dry-schema`, it provides a clear and declarative way to define, validate, and instantiate your data structures.
The ultimate DRY and fast solution to managing any kind of test data. Based on Blueprints.
Generating HTML tables of data in the views of your Rails application is not very DRY even for the simpler of cases. Cheveret allows you to more clearly separate logic and templating and reduce the amount of code in your views.
Expectant provides a clean DSL for defining multiple validation schemas in a single class. Built on dry-validation and dry-types, it supports custom rules, defaults, fallbacks, and context-aware validations, making it easy to validate inputs, outputs, and any structured data in your Ruby applications.
Dorm (Data ORM) is a lightweight, functional ORM built on Ruby's Data class. Features immutable records, monadic error handling inspired by dry-monads, and a functional programming approach to database operations.
Dry::Workflow allows developers to define complex, multi-step business processes with a clear DSL. It supports `step`, `map`, and `try` operations, similar to dry-transaction, but with an added emphasis on defining and executing rollback procedures for each step if the workflow fails. This helps ensure data consistency and provides a structured way to handle failures in long-running or critical operations.
A CLI (as in Command Line Interface) to delete your tweets based on faves, RTs, and time. There are some services out there with a friendly web interface, but this is not one of them. You must know the basics of working with a UNIX terminal and configuring a Twitter API app, as this will only work if you have a Twitter Developer account. Due to the irrevocable nature of tweet deletion, all delete commands are dry-run true, meaning you must call all of them with a --dry-run=false flag if you want them to really do something. Called with --dry-run=false, there is no way to revoke tweet deletion. They are just gone, disappeared into the ether (or the stashed in the Twitter-owned secret place you have no access to without a mandate since nothing gets really deleted from the web these days, folks). This tool won't delete all of your tweets in one fell swoop; it is more of a way to delete your old tweets from time to time. The Twitter API rate limits are relatively complicated, and I don't even wanna go there, but if you do intend on deleting all of your tweets, you can do it with this CLI and some perseverance. I did delete more than 100k of mine by using this script every day for a couple of weeks. The more tweets you delete, the fewer of them you have, and with time the rate limits won't be that much of a problem. I Delete My Tweets (IDMT) can delete your tweets by fetching them via API using an APP you will have to set up yourself. Still, it can also delete tweets from an CSV (comma-separated file) that you can generate from the archive you can request from twitter.com by going to Settings and privacy > Your Account > Download an archive of your data. It is out of the scope of this CLI to generate the CSV (at the moment) but there are scripts out there that can do this for you.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.