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 <li><a href="https://github.com/theOGognf/finagg">finagg</a> - finagg is a Python package that provides implementations of popular and free financial APIs, tools for aggregating historical data from those APIs into SQL databases, and tools for transforming aggregated data into features useful for analysis and AI/ML.</li>
 <li><a href="https://github.com/JerBouma/FinanceDatabase">FinanceDatabase</a> - This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.</li>
 <li><a href="https://github.com/tradingstrategy-ai/trading-strategy/">Trading Strategy</a> - download price data for decentralised exchanges and lending protocols (DeFi)</li>
+<li><a href="https://github.com/john-friedman/datamule-python">datamule-python</a> - A package to work with SEC data. Incorporates datamule endpoints.</li>
 </ul>
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 <li><a href="https://github.com/ram-ki/101_formulaic_alphas">101_formulaic_alphas</a> - Implementation of <a href="https://arxiv.org/ftp/arxiv/papers/1601/1601.00991.pdf">101 formulaic alphas</a> using qstrader.</li>
 <li><a href="https://www.tidy-finance.org/">Tidy Finance</a> - An opinionated approach to empirical research in financial economics - a fully transparent, open-source code base in multiple programming languages (Python and R) to enable the reproducible implementation of financial research projects for students and practitioners.</li>
 <li><a href="https://github.com/jgatheral/RoughVolatilityWorkshop">RoughVolatilityWorkshop</a> - 2024 QuantMind’s Rough Volatility Workshop lectures.</li>
+<li><a href="https://github.com/boyboi86/AFML">AFML</a> - All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.</li>
 </ul>