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 - [LLM App](https://github.com/pathwaycom/llm-app) - Open-source Python library to build real-time LLM-enabled data pipeline.
 - [LMQL](https://lmql.ai/) - LMQL is a query language for large language models.
 - [LlamaIndex](https://www.llamaindex.ai/) - A data framework for building LLM applications over external data.
+- [MLflow](https://mlflow.org/) - An open-source framework for the end-to-end machine learning lifecycle, helping developers track experiments, evaluate models/prompts, deploy models, and add observability with tracing.
 - [Phoenix](https://phoenix.arize.com/) - Open-source tool for ML observability that runs in your notebook environment, by Arize. Monitor and fine tune LLM, CV and tabular models.
 - [Cursor](https://www.cursor.so/) - Cursor is the IDE of the future, built for pair-programming with Powerful AI.
 - [SymbolicAI](https://github.com/Xpitfire/symbolicai) - A neuro-symbolic framework for building applications with LLMs at the core.