12 open-source projects share topics or a category with BentoML. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Choose transformers if…
you want the more widely starred option (168.5k)
you specifically need audio or deepseek
Shares deep-learning, llm, machine-learning, python with BentoML.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Choose FedML if…
you prefer a smaller, narrower project to a large one
you specifically need ai-agent or distributed-training
Shares deep-learning, machine-learning, mlops, model-serving with BentoML.
No push in over a year ago.Apache License 2.0Python4.1k
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Choose evidently if…
you would rather work in Jupyter Notebook than Python
you specifically need data-drift or data-quality
Shares generative-ai, llm, llmops, machine-learning with BentoML.