Ross ROSS = Recommend OSS · open-source software intelligence for agents

mindspore-ai/mindspore

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios. observed · 2026-08-28

github.com/mindspore-ai/mindspore · homepage · C++ · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2395
  • days_rel: n/a
  • days_push: 766
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4700 stars · 748 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MindSpore is an open-source deep learning framework for training and inference across mobile, edge, and cloud scenarios. It provides automatic differentiation, automatic parallelism, and native support for Huawei Ascend AI processors with software-hardware co-optimization.

Use cases

  • train deep neural networks on Ascend or GPU hardware
  • run model inference on mobile, edge, and cloud devices
  • automatically parallelize large model training across clusters
  • build and train models with a Python API and automatic differentiation
  • deploy distributed training jobs with msrun

When to choose

  • you use Huawei Ascend AI processors and want native hardware support
  • you need automatic parallelism for large-scale distributed training
  • you want a single framework spanning mobile, edge, and cloud deployment

When to avoid

  • your team and ecosystem depend on PyTorch or TensorFlow tooling
  • you need the broadest third-party model and library compatibility
  • you have no access to Ascend hardware and prefer mainstream GPU ecosystems

Facets

library · maturity active

machine-learning deep-learning llm-training llm-inference gpu-computing deep-learning machine-learning artificial-intelligence python cpp cross-platform automatic-differentiation automatic-parallelism ascend training-framework inference mobile-edge-cloud linux gpu docker

9 sources

Member repositories

RepositoryRoleHealth v2
mindspore-ai/mindsporemain32

For agents

markdown · JSON · MCP: product_card(name="mindspore-ai/mindspore")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem