Awesome List Updates on Jul 12, 2021

7 awesome lists updated today.

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1. Awesome Ruby

API Builder and Discovery

• cache_crispies (⭐158) - Speedy Rails JSON serialization with built-in caching.

Assets

• Vite Ruby (⭐1.5k) - Use Vite.js as a modern assets pipeline in Ruby and Rails apps.

Automation

• Neovim (⭐356) - Ruby bindings for Neovim to make your own neovim editor plugins in Ruby.

Data Processing and ETL

• attr-gather (⭐40) - A gem for creating workflows that "enhance" entities with extra attributes. At a high level, attr-gather provides a process to fetch information from many data sources (such as third party APIs, legacy databases, etc.) in a fully parallelized fashion.

HTTP Clients and tools

• Accept Language (⭐59) - A tiny library for parsing the Accept-Language header from browsers (as defined in RFC 2616).

2. Awesome Swift

Testing / Barcode

• Mussel (⭐75) - A framework for easily testing Push Notifications, Universal Links and Routing in XCUITests.

3. Awesome Inertiajs

Adapters / Server-side

• CanJS (⭐14)

• Clojure (⭐101)

• CodeIgniter (⭐28)

• Go (⭐264)

• PSR-15 (⭐44)

4. Awesome Selfhosted

Software / Search Engines

• Whoogle (⭐11k) ⚠ - A self-hosted, ad-free, privacy-respecting metasearch engine. MIT Python

5. Awesome Nix

Channel History / Discovery

• nixpkgs PR tracker - A tracker for whether a PR has made it into a channel yet.

Development / Discovery

• devshell (⭐1.4k) - mkShell with extra bits and a toml config option to be able to onboard non-nix users.

• flake-utils (⭐1.4k) - Pure Nix flake utility functions to help with writing flakes.

6. Awesome Vue

Projects Using Vue.js / Open Source

• XIV ToDo (⭐138) - Dashboards, completion trackers, tailored weekly and daily checklists and tools for Final Fantasy XIV.

Components & Libraries / UI Utilities

• vue-tiny-validate (⭐139) - Tiny (2.5KB minified) Vue Validate Composition.

7. Awesome Tensorflow Lite

TensorFlow models / Other

• Tensorflow detection model zoo (⭐78k) - Pre-trained on COCO, KITTI, AVA v2.1, iNaturalist Species datasets.

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