ONNX-MLIR compiles ONNX models using MLIR compiler infrastructure for model deployment workflows.
Open source
24 alternativescONNXr
vsColibri
cONNXr vs Colibri
How do cONNXr and Colibri compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | cONNXr | Colibri |
|---|---|---|
| What it is | The cONNXr project provides a pure C runtime for ONNX models intended for embedded devices. | Colibri runs mixture-of-experts language models on local hardware, streaming experts from disk with a small C engine. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both cONNXr and Colibri.
Catniff provides JavaScript developers with a Torch-like deep learning framework.
Open source
24 alternatives
Ollama runs language models locally and provides tools to work with model files and APIs.
Open source
24 alternatives
Glide provides an open model gateway for developing production generative AI applications.
Open source
24 alternatives
Candle provides a minimalist Rust framework for machine learning model development and execution tasks.
Open source
24 alternatives
Kubeflow provides a machine learning toolkit for deploying workflows on Kubernetes.
Open source
24 alternatives