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Top 23 Python Deployment Projects
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Ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
I'm guessing this comment is some kind of "if you know, you know." Likely starting from https://docs.ray.io/en/latest/cluster/vms/user-guides/launch... and then trawling through one of these I guess https://github.com/ray-project/ray/issues?q=is%3Aissue+prem+...
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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inference
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
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StackStorm
StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html
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ByteTrack is a more recent tracking algorithm that is designed to handle occlusions and overlapping objects better. It uses a byte-level representation of objects and a motion model to predict the future position of objects. To enable ByteTrack in YOLOv8, use the bytetrack.yaml configuration file.
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opyrator
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
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SaaSHub
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transformer-deploy
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
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inference
Turn any computer or edge device into a command center for your computer vision projects. (by roboflow)
Project mention: Smart Waste Solutions: Integrating AI in Next-Gen Waste Sorting | dev.to | 2024-08-29Install packages required for running the inference. You can run the trained model Inference. This document is not meant to explain Ultralytics YOLO model training & various ways of optimizing inferences for your custom use-cases & requirements using Roboflow or Ultralytics HUB Inference . The Waste Category Predictor (AI Model) predicts the waste type and sends the signal to Arduino.
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Project mention: Show HN: RAG app example with self-hosted embedding and LLM services | news.ycombinator.com | 2024-08-13
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aws-deployment-framework
The AWS Deployment Framework (ADF) is an extensive and flexible framework to manage and deploy resources across multiple AWS accounts and regions based on AWS Organizations.
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sailor
Sailor is a tiny PaaS to install on your servers/VPS that uses git push to deploy micro-apps, micro-services, sites with SSL, on your own servers or VPS
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blindbox
BlindBox is a tool to isolate and deploy applications inside Trusted Execution Environments for privacy-by-design apps
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SaaSHub
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Deploy LangServe Application to AWS
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Cobbler: Allows for rapid setup of network installation environments
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A note from our sponsor - SaaSHub
www.saashub.com | 23 May 2025
Index
What are some of the best open-source Deployment projects in Python? This list will help you:
# | Project | Stars |
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1 | Ray | 37,163 |
2 | inference | 7,873 |
3 | StackStorm | 6,247 |
4 | ByteTrack | 5,287 |
5 | opyrator | 3,120 |
6 | mmdeploy | 2,943 |
7 | Cobbler | 2,683 |
8 | transformer-deploy | 1,685 |
9 | inference | 1,681 |
10 | budgetml | 1,341 |
11 | AutoDMG | 1,230 |
12 | runhouse | 1,034 |
13 | ecs-deploy | 883 |
14 | hands-on-train-and-deploy-ml | 823 |
15 | aws-deployment-framework | 679 |
16 | FedScale | 396 |
17 | sailor | 292 |
18 | runway | 171 |
19 | cfn-secret-provider | 142 |
20 | torchlambda | 125 |
21 | ansible-esxi | 98 |
22 | pypmml | 77 |
23 | blindbox | 56 |