Top 4 Python inference-server Projects

inference

5 1,015 9.9 Python

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models. (by roboflow)

Project mention: Supervision: Reusable Computer Vision | news.ycombinator.com | 2024-03-24

Yeah, inference[1] is our open source package for running locally (either directly in Python or via a Docker container). It works with all the models on Universe, models you train yourself (assuming we support the architecture; we have a bunch of notebooks available[2]), or train in our platform, plus several more general foundation models[3] (for things like embeddings, zero-shot detection, question answering, OCR, etc).
We also have a hosted API[4] you can hit for most models we support (except some of the large vision models that are really GPU-heavy) if you prefer.
[1] https://github.com/roboflow/inference
[2] https://github.com/roboflow/notebooks
[3] https://inference.roboflow.com/foundation/about/
[4] https://docs.roboflow.com/deploy/hosted-api

truss

3 830 9.6 Python

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

www.influxdata.com sponsored

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.
pinferencia

21 556 0.0 Python

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

1 25 6.4 Python

Benchmark for machine learning model online serving (LLM, embedding, Stable-Diffusion, Whisper)

Project mention: [D] Handling Concurrent Request for ML Model API | /r/MachineLearning | 2023-07-05

I have done some benchmarks before: https://github.com/tensorchord/inference-benchmark

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).