Awesome List Updates on Mar 27, 2022

7 awesome lists updated today.

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1. Awesome

Articles / Getting Started

• How To Get Started With SEO In Craft CMS by Galaxy Weblinks - 22 June 2018

2. Awesome Ada

Text Modes / Apache License

• ob-ada-spark (⭐8) - Ada/SPARK support for org-babel : Evaluate source code blocks with Gnu Emacs and org files.

3. Magictools

Engines and Frameworks / Voxel Editors

• 💸 Leadwerks - Easy-to-learn game engine for 3D and VR.

4. Awesome Quant

Python / Financial Instruments and Pricing

• Q-Fin (⭐483) - A Python library for mathematical finance.

• Quantsbin (⭐552) - Tools for pricing and plotting of vanilla option prices, greeks and various other analysis around them.

Python / Trading & Backtesting

• TuneTA (⭐442) - TuneTA optimizes technical indicators using a distance correlation measure to a user defined target feature such as next day return.

• qf-lib (⭐594) - QF-Lib is a Python library that provides high quality tools for quantitative finance.

JavaScript / Data Visualization

• QUANTAXIS_Webkit (⭐38) - An awesome visualization center based on quantaxis.

Scala / Data Visualization

• Scala Quant (⭐10) - Scala library for working with stock data from IFTTT recipes or Google Finance.

Reproducing Works, Training & Books / Data Visualization

• QuantFinance (⭐420) - Training materials in quantitative finance.

• IPythonScripts (⭐161) - Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning.

• Computational-Finance-Course (⭐439) - Materials for the course of Computational Finance.

5. Awesome Privacy

Databases

• Supabase - Open source Firebase alternative (Limited (⭐86k) self-hosting (⭐86k))

Home Assistants

• Alexa

• Siri

• Mycroft - The Private and Open Voice Assistant.

• Home Assistant - Open source home automation that puts local control and privacy first.

6. Awesome Go

Miscellaneous Data Structures and Algorithms

• go18ds (⭐46) - Go Data Structures using Go 1.18 generics.

7. Dive Into Machine Learning

Supplement: Troubleshooting / Production, Deployment, MLOps

• eugeneyan/applied-ml (⭐28k)

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