Home/Inference & Serving/fastDeploy

fastDeploy

notAI-tech/fastDeploy

Deploy DL/ML inference pipelines with minimal extra code.

GitHub

GraphCanon updated Aug 14, 2026 · GitHub synced Aug 14, 2026

41views this month

105 stars17 forksLast push Feb 10, 2026 Python MIT

Decision brief

fastDeploy simplifies ML/DL model deployment focusing on minimal code for inference pipelines.

Good fit when

When you aim to streamline the deployment of TensorFlow Serving, TorchServe, and Triton Inference Server models without extensive coding.
If you require integration with Docker to manage your inference services easily.

Avoid when

Avoid if you are looking for a solution that supports real-time interactive deployments requiring advanced websocket handling beyond fastDeploy's basic capability.
Not recommended when the project requires heavy customization of deployment scripts, as it emphasizes minimal coding and may restrict flexibility in pipeline configurations.

Pricing:: freemium - -
Requirements:: - Python is required for running fastDeploy.; - Docker installation is suggested but not mandatory.

Observed Jul 17, 2026 · Source: enrich:decision_facts

fastDeploy alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Slowing (185d since push); As of Aug 14, 2026
Provenance: Not a fork · Organization account; As of Aug 14, 2026
Security (OSV): No lockfile; As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install fastDeploy

PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

llamafile

Distribute and run LLMs with a single file.

26k★

runanywhere-sdks

Production ready toolkit to run AI locally

10k★

accelerate

A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.

9.8k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

fastDeploy is designed to simplify the deployment of machine learning and deep learning models for inference. It supports various frameworks like TensorFlow Serving, TorchServe, and Triton Inference Server among others.

Capability facts

Languages: python
Source: github.language · Aug 14, 2026

README

and builds the docker image if docker is installed Run docker image docker run it p8080:8080 fastdeploy echo ``` Serving your model (recipe): Writing your model/pipeline's recipe

For agents

This page has a .md twin and JSON over the API.

/tools/notai-tech-fastdeploy.md GET /api/graphcanon/tools/notai-tech-fastdeploy GET /api/graphcanon/graph?tool=notai-tech-fastdeploy