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Awesome GitHub RepositoriesPipeline Execution Engines
Tools that trigger and run multi-stage analytical workflows based on predefined configurations.
Distinguishing note: Focuses on executing complete analytical pipelines rather than general task scheduling.
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Awesome Pipeline Execution Engines GitHub Repositories
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- microsoft/qlib
microsoft/qlib
37,586View on GitHubThis project is a comprehensive platform for quantitative investment research, machine learning, and algorithmic trading. It provides an end-to-end environment for developing, testing, and executing financial strategies, supporting the entire lifecycle from data ingestion and feature engineering to model training and backtesting. The system is distinguished by its configuration-driven workflow orchestration, which allows researchers to automate complex pipelines and manage experiments through declarative files. It features a high-performance data infrastructure that utilizes custom binary for
Runs complete analytical workflows including data preparation and model training via single-command execution.
Pythonalgorithmic-tradingauto-quantdeep-learning
