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1 change: 1 addition & 0 deletions README.md
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* [Opik](https://github.com/comet-ml/opik): Evaluate, trace, test, and ship LLM applications across your dev and production lifecycles.
* [pyclugen](https://github.com/clugen/pyclugen) - Multidimensional cluster generation in Python.
* [mlforgex](https://github.com/dhgefergfefruiwefhjhcduc/ML_Forgex) - Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
* [vLLM](https://github.com/vllm-project/vllm) - A high-throughput and memory-efficient inference and serving engine for LLMs.

<a name="python-data-analysis--data-visualization"></a>
#### Data Analysis / Data Visualization
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