Reverse Dependencies of BentoML

The following projects have a declared dependency on BentoML:

• aiserve — no summary
• bento2seldon — This project aims to combine the awesome capabilities of BentoML in packaging models with the powerful Seldon Core engine to deploy such models. It also features an optional cache using Redis that can also be used to make the feedback loop easier by using the request ID to get back the original request and response. For now, it was created for internal use and is in alpha state. But it will soon be prepared to be used by everyone.
• bentoctl — Fast model deployment with BentoML on cloud platforms.
• bentoml-comfyui — BentoML extensions for ComfyUI
• bentoml-plugins-arize — BentoML Monitoring Arize Plugin
• bentoml-unsloth — BentoML: The easiest way to serve AI apps and models
• bentomlx — no summary
• bentoutils — Utilities for working with BentoML V1.x
• CLIP-API-service — Build AI applications with any CLIP models - embed image and sentences, object recognition, visual reasoning, image classification and reverse image search
• kentoml — no summary
• konfuzio-sdk — Konfuzio Software Development Kit
• llmchatbot — LLM-based Chatbot
• nubison-model — no summary
• nylon-ai — An interactive grammar of machine learning.
• omnixai — OmniXAI: An Explainable AI Toolbox
• omnixai-community — OmniXAI: An Explainable AI Toolbox
• OneDiffusion — Onediffusion: REST API server for running any diffusion models - Stable Diffusion, Anything, ControlNet, Lora, Custom
• OpenLLM — OpenLLM: Self-hosting LLMs Made Easy.
• openllm-client — OpenLLM Client: Interacting with OpenLLM HTTP/gRPC server, or any BentoML server.
• openllm-core — OpenLLM Core: Core components for OpenLLM.
• papyrus-ai — High-level grammar interface for ML
• raptor-labsdk — no summary
• simplexfmrartifact — BentoML artifact framework for simpletransformers
• torchmojiartifact — BentoML artifact framework for the Torchmoji Model
• unboxapi — The official Python API library for Unbox: the Testing and Debugging Platform for AI
• unionml — The easiest way to build and deploy machine learning microservices.