Python model-serving

Open-source Python projects categorized as model-serving
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Topics: Machine Learning Mlops Pytorch Python Deep Learning
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Top 15 Python model-serving Projects

  • vllm

    A high-throughput and memory-efficient inference and serving engine for LLMs

    • Project mention: AI leaderboards are no longer useful. It's time to switch to Pareto curves | news.ycombinator.com | 2024-04-30

    I guess the root cause of my claim is that OpenAI won't tell us whether or not GPT-3.5 is an MoE model, and I assumed it wasn't. Since GPT-3.5 is clearly nondeterministic at temp=0, I believed the nondeterminism was due to FPU stuff, and this effect was amplified with GPT-4's MoE. But if GPT-3.5 is also MoE then that's just wrong.

    What makes this especially tricky is that small models are truly 100% deterministic at temp=0 because the relative likelihoods are too coarse for FPU issues to be a factor. I had thought 3.5 was big enough that some of its token probabilities were too fine-grained for the FPU. But that's probably wrong.

    On the other hand, it's not just GPT, there are currently floating-point difficulties in vllm which significantly affect the determinism of any model run on it: https://github.com/vllm-project/vllm/issues/966 Note that a suggested fix is upcasting to float32. So it's possible that GPT-3.5 is using an especially low-precision float and introducing nondeterminism by saving money on compute costs.

    Sadly I do not have the money[1] to actually run a test to falsify any of this. It seems like this would be a good little research project.

    [1] Or the time, or the motivation :) But this stuff is expensive.

  • BentoML

    The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

    • Project mention: Who's hiring developer advocates? (December 2023) | dev.to | 2023-12-04

    Link to GitHub -->

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • kserve

    Standardized Serverless ML Inference Platform on Kubernetes

  • lightllm

    LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

    • Project mention: FLaNK Weekly 31 December 2023 | dev.to | 2023-12-31

  • mlrun

    MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

  • functime

    Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

    • Project mention: functime: NEW Data - star count:616.0 | /r/algoprojects | 2023-11-08

  • truss

    The simplest way to serve AI/ML models in production (by basetenlabs)

  • SaaSHub

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  • mosec

    A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

    • Project mention: 20x Faster as the Beginning: Introducing pgvecto.rs extension written in Rust | dev.to | 2023-08-06

    Mosec - A high-performance serving framework for ML models, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine. Simple and faster alternative to NVIDIA Triton.

  • pinferencia

    Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

  • OneDiffusion

    OneDiffusion: Run any Stable Diffusion models and fine-tuned weights with ease

    • Project mention: OneDiffusion | news.ycombinator.com | 2023-08-22

  • chitra

    A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

  • inferencedb

    🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)

  • vllm-rocm

    vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs

    • Project mention: Experimental Mixtral MoE on vLLM! | /r/LocalLLaMA | 2023-12-10

  • sdk-python

    Python library for Modzy Machine Learning Operations (MLOps) Platform (by modzy)

  • AquilaHub

    Load and serve Neural Encoder Models

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python model-serving related posts

Index

What are some of the best open-source model-serving projects in Python? This list will help you:

Project Stars
1 vllm 18,931
2 BentoML 6,586
3 kserve 3,083
4 lightllm 1,835
5 mlrun 1,308
6 functime 914
7 truss 837
8 mosec 709
9 pinferencia 558
10 OneDiffusion 323
11 chitra 224
12 inferencedb 77
13 vllm-rocm 76
14 sdk-python 24
15 AquilaHub 2

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