MNN VS oneflow

Compare MNN vs oneflow and see what are their differences.


MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba (by alibaba)


OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. (by Oneflow-Inc)
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MNN oneflow
2 32
7,908 5,327
1.4% 2.2%
8.4 0.0
19 days ago 8 days ago
C++ C++
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of MNN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-06.


Posts with mentions or reviews of oneflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-12.

What are some alternatives?

When comparing MNN and oneflow you can also consider the following projects:

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

tensorflow - An Open Source Machine Learning Framework for Everyone

ML-examples - Arm Machine Learning tutorials and examples

flashlight - A C++ standalone library for machine learning

stable-diffusion-webui - Stable Diffusion web UI

kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

OpenMLDB - OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

serving - A flexible, high-performance serving system for machine learning models


elbencho - A distributed storage benchmark for file systems, object stores & block devices with support for GPUs