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@ -50,6 +50,7 @@ An opinionated guide to the best Python frameworks, libraries, tools, and resour
**Data & Science**
- [Data Analysis](#data-analysis)
- [Data Ingestion / ETL](#data-ingestion--etl)
- [Data Validation](#data-validation)
- [Data Visualization](#data-visualization)
- [Geolocation](#geolocation)
@ -484,6 +485,12 @@ _Libraries for data analysis._
- [lumibot](https://github.com/Lumiwealth/lumibot) - Algorithmic trading framework for backtesting and live deployment across stocks, options, crypto, futures, and forex.
- [openbb](https://github.com/OpenBB-finance/OpenBB) - A financial data platform for analysts, quants and AI agents.
- [yfinance](https://github.com/ranaroussi/yfinance) - Easy Pythonic way to download market and financial data from Yahoo Finance.
### Data Ingestion / ETL
_Libraries for extracting data from external sources and loading it into databases, warehouses, and lakehouses._
- [dlt](https://github.com/dlt-hub/dlt) - A Python library for building data pipelines with automatic schema inference, incremental loading, and support for multiple sources and destinations.
### Data Validation