Awesome List Updates on Dec 22, 2022

9 awesome lists updated today.

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1. Awesome Software Patreons

Open Source Projects

• F-Droid, #2, #3 - An installable catalogue of FOSS applications for the Android platform.

• WireGuard, #2 - Next generation secure network tunnel.

Open Source Projects / Games

• Fheroes2 - Free Heroes of Might and Magic II engine.

• Heroic Games Launcher, #2, #3 - Open source GOG and Epic Games launcher.

• Lutris, #2 - Game launcher & platform.

• MelonDS - Nintendo DS emulator.

2. Awesome Osint

Image Search / GitHub

• FaceCheck.ID - Facial recognition search engine.

3. Awesome Tensorflow

Tools/Utilities

• create-tf-app (⭐4) - Project builder command line tool for Tensorflow covering environment management, linting, and logging.

4. Awesome Zsh Plugins

Themes / superconsole - Windows-only

• softblobby (⭐4) - A theme for people who love unicorns, pink and purple. Includes decorators for git information, current directory, time and username.

5. Awesome Playcanvas

Blockchain/Crypto/NFT / YouTube Playables

• Somnium Space - Virtual Reality world built on the Ethereum blockchain.

6. Awesome Ada

DevOps / Apache License

• septum (⭐389) - An interactive context-based text search tool for searching large codebases.

Networking and Communication Middleware / Apache License

• adare-net - This is a small, portable and easy to use Ada network lib. It supports ipv4 ipv6 udp and tcp, and can 'listen' with ipv6, too.

7. Awesome Privacy

Blogging platforms (Medium)

• Scribe - Medium alternative forntend inspired by Invidious.

8. Awesome Rails

Official Resources

• Rails Official Blog

External Resources / Books

• The Rails 7 Way

Jobs / Other external resources

• rails jobs on remoteok.com

• rails jobs on RubyJobBoard

Articles / Other external resources

• Making Hotwire and Devise play nicely

• Taking Rails to the next level with Hotwire

• Hotwire, ViewComponents and TailwindCSS: The Ultimate Rails Stack

• Adding Super Fast Frontend Search in Rails with Lunr

• Five Practices for Robust Ruby on Rails Applications

• Build a Rails application with VueJS using JSX

Open Source Rails Apps / Other external resources

• blackCandy (⭐3.6k) - A music streaming app (using Rails 7.0).

• campo (⭐440) - A forum app (using Rails 4.1).

• crowdAI (⭐149) - An app for data science challenges (using Rails 5.2). - 🌍

• dcaf_case_management (⭐91) - A case management app (using Rails 7.0).

• eol (⭐60) - An encyclopedia app - using Rails 3.2 - 🌍

• graff_mags (⭐19) - A graffiti magazine sharing app (using Rails 4.1).

• hashrobot (⭐49) - A social media management app (using Rails 4.2).

• hours (⭐1k) - A time tracking app (using Rails 4.2).

• loomio (⭐2.5k) - A collaborative decision-making app (using Rails 6.1). - 🌍

• mastodon (⭐49k) - A microblogging app (using Rails 6.1). - 🌍

• openstreetmap-website (⭐2.4k) - A map viewing app (using Rails 7.0). - 🌍

• postal (⭐16k) - A mail delivery platform (using Rails 5.2).

• rletters - A frontend for database of journal articles for researchers (using Rails 6.0).

• scholarsphere (⭐12) - A digital assets management app - using Rails 6.1

• websiteOne (⭐144) - A project tracking app (using Rails 6.1).

Gems / Other external resources

• rails_admin (⭐7.9k) - A gem to create & manage admin panel for Rails app. 🔴

• rails_semantic_logger (⭐362) - A gem to provide alternative logging approach for Rails app. 🔴

• ranked-model (⭐1.1k) - A gem to handle sorting for rows. 🔴

• rubocop-rails (⭐843) - A code style checking tool. 🔴

• shakapacker (⭐445) - A gem to use webpack to manage app-like JavaScript modules in Rails. 🔴

• view_component (⭐3.4k) - A gem to introduce view components. 🔴

Platforms / Other external resources

• Nanobox (⭐1.6k) - A micro-PaaS (μPaaS) for creating consistent, isolated, development environments deployable anywhere

9. Awesome Python Data Science

Data Validation / Synthetic Data

• great_expectations (⭐11k) - Always know what to expect from your data.

• deepchecks (⭐3.8k) - Validation & testing of ML models and data during model development, deployment, and production.

• evidently (⭐6.4k) - Evaluate and monitor ML models from validation to production.

• TensorFlow Data Validation (⭐772) - Library for exploring and validating machine learning data.

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