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A Python library for evaluating option trading strategies.
A system which uses AI / Machine Learning algorithms and recommends the appropriate options to buy/sell, so that trader can maximise his profits. It provides advanced technical analysis for profita…
Developed in Python, this localized backtesting system is tailored for quantitative trading strategies involving stocks, indexes, funds, futures, and options.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
An extension for using Cursor in Visual Studio Code.
☁️ Build multimodal AI applications with cloud-native stack
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
This dbt package contains macros to support unit testing that can be (re)used across dbt projects.
Scalefree's dbt package for a Data Vault 2.0 implementation congruent to the original Data Vault 2.0 definition by Dan Linstedt including the Staging Area, DV2.0 main entities, PITs and Snapshot Ta…
A free to use dbt package for creating and loading Data Vault 2.0 compliant Data Warehouses (powered by dbt, an open source data engineering tool, registered trademark of dbt Labs)
An unofficial, reverse-engineered Python API for tastyworks.
Dynamically generate Apache Airflow DAGs from YAML configuration files
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
some scripts to generate hubs and satellites
Grammars written for ANTLR v4; expectation that the grammars are free of actions.
Contains JavaScript & TypeScript object models for Microsoft Power BI JavaScript SDK
An Azure Function which allows Azure Data Factory (ADF) to connect to Snowflake in a flexible way.
🚀 Strapi is the leading open-source headless CMS. It’s 100% JavaScript/TypeScript, fully customizable, and developer-first.
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
PySpark Cookbook, published by Packt
equivalent to kafka-connect 🔧 for nodejs ✨🐢🚀✨
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.