Awesome List Updates on May 05, 2021
11 awesome lists updated today.
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1. Awesome Gnome
Libraries / Skeumorphic Icons
- libhandy - Building blocks for modern adaptive GNOME apps (GTK3)
2. Awesome Quant
Python / Trading & Backtesting
- Eiten (⭐3k) - Eiten is an open source toolkit by Tradytics that implements various statistical and algorithmic investing strategies such as Eigen Portfolios, Minimum Variance Portfolios, Maximum Sharpe Ratio Portfolios, and Genetic Algorithms based Portfolios.
- Stock-Prediction-Models (⭐8.8k) - Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations.
3. Awesome Cpp
Artificial Intelligence
- flashlight (⭐5.4k) - Flashlight is a fast, flexible machine learning library written entirely in C++. [BSD]
4. Awesome Cakephp
Development Environment
- Devilbox - A docker development environment for (CakePHP) apps to be auto-setup including a lot of tools.
5. Awesome Electron
Boilerplates / Other
- vite-electron-builder (⭐2.8k) - Secure boilerplate for Electron app based on Vite. TypeScript + Vue/React/Angular/Svelte/Vanilla.
6. Awesome Naming
Theoretical Computer Science
- Game of Life - A game world that showcases how astonishing complexity can arise from very simple ingredients.
- Pumping lemma - The fact that in some formal languages any sufficiently long string can be pumped with repetitions of its substring and the result stays in the same formal language.
7. Public Apis
Government
-
Description: Peru Government Open Data
Auth: No
HTTPS: Yes
CORS: Unknown
8. Awesome Clojurescript
Awesome ClojureScript / React.js Interface
- Helix (⭐650) – A simple, easy to use library for React development in ClojureScript with very few semantics on top of React.
- hx (⭐246) – Another simple, easy to use library for React development in ClojureScript.
9. Awesome Pcaptools
Traffic Analysis/Inspection
- NFStream (⭐1.2k): is a Python framework providing fast, flexible, and expressive data structures designed to make working with online or offline network data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world network data analysis in Python. Additionally, it has the broader goal of becoming a common network data analytics framework for researchers providing data reproducibility across experiments.
10. Awesome Vite
Open Source / Community
- Slidev (⭐39k) - Presentation Slides for Developers.
11. Awesome Material Ui
Components
- React-planet (⭐191) - Create circular menus which looks like planets.
- Prev: May 06, 2021
- Next: May 04, 2021