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#model-deployment

Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.

5 records
Tagged “model-deployment”Ranked by health index
PyPI · crates.io
98Exceptionalhealth index
basetenlabs/truss
The simplest way to serve AI/ML models in production
Python · Rust★ 1,195↓ 966.4K/moAug 27, 2026
MITAug 27, 2026 · metrics 2.10.0
npm · PyPI
97Exceptionalhealth index
microsoft/SynapseML
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
Scala · Python★ 5,247Sep 17, 2026
MITSep 17, 2026 · metrics 2.10.0
PyPI
96Exceptionalhealth index
bentoml/BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Python★ 8,847↓ 256.2K/moSep 17, 2026
Apache-2.0Sep 17, 2026 · metrics 2.10.0
PyPI · npm
93Exceptionalhealth index
flyingriverhorse/Skyulf
Stop trusting your pipeline. Verify it; visually on a canvas or in Python. Self-hosted platform + library.
Python · Jupyter Notebook · TypeScript★ 47↓ 3,236/moSep 18, 2026
AGPL-3.0Sep 18, 2026 · metrics 2.10.0
PyPI
90Excellenthealth index
openlayer-ai/openlayer-python
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
Python★ 18↓ 129.4K/moSep 16, 2026
Apache-2.0Sep 16, 2026 · metrics 2.10.0