apache/singa
a distributed deep learning platform observed · 2026-08-28
Health v2 · maintenance only
64/100
- Activity 91
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4171
- days_rel: n/a
- days_push: 57
- n_releases_24m: 0
Adoption not part of the score
3606 stars · 1267 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Apache SINGA is a distributed deep learning platform for training neural networks across multiple devices and machines. It provides a C++ core with Python APIs and supports distributed model training.
Use cases
- train deep learning models across multiple GPUs
- run distributed neural network training on a cluster
- build and train CNNs and RNNs with a Python API
- scale deep learning workloads beyond a single machine
- experiment with an Apache-licensed deep learning framework
When to choose
- you need distributed training with an Apache-2.0 license
- you want a C++ core with Python bindings
- you prefer an Apache Foundation project with community governance
When to avoid
- you need a mainstream ecosystem like PyTorch or TensorFlow with broad community support
- you only train small models on a single machine
- you need extensive pretrained models and tutorials
Facets
library · maturity maintenance
deep-learning machine-learning gpu-computing deep-learning machine-learning microservices cpp python distributed-training apache-project neural-networks linux macos docker
1 source
- readme: https://github.com/apache/singa · fetched 2026-08-28 · 87d027bbce8d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| apache/singa | main | 64 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem