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ort is an (unofficial) ONNX Runtime 1.22 wrapper for Rust based on the now inactive onnxruntime-rs. ONNX Runtime accelerates ML inference and training on both CPU & GPU.

• Guide
• API reference
• Examples
• Migrating from v1.x to v2.0

• Discord: #💬｜ort-discussions
• GitHub Discussions
• Email

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• Bloop uses ort to power their semantic code search feature.
• edge-transformers uses ort for accelerated transformer model inference at the edge.
• Ortex uses ort for safe ONNX Runtime bindings in Elixir.
• Supabase uses ort to remove cold starts for their edge functions.
• Lantern uses ort to provide embedding model inference inside Postgres.
• Magika uses ort for content type detection.
• sbv2-api is a fast implementation of Style-BERT-VITS2 text-to-speech using ort.
• Ahnlich uses ort to power their AI proxy for semantic search applications.
• Spacedrive is a cross-platform file manager with AI features powered by ort.
• BoquilaHUB uses ort for local AI deployment in biodiversity conservation efforts.
• FastEmbed-rs uses ort for generating vector embeddings, reranking locally.
• Aftershoot uses ort to power AI-assisted image editing workflows.
• Valentinus uses ort to provide embedding model inference inside LMDB.
• retto uses ort for reliable, fast ONNX inference of PaddleOCR models on Desktop and WASM platforms.
• oar-ocr A comprehensive OCR library, built in Rust with ort for efficient inference.