Apache SINGA

What it is

Apache SINGA is an open-source project designed to provide a flexible and scalable platform for deep learning. It supports a wide range of machine learning models and is particularly suited for training large-scale models across distributed systems. The tool is implemented primarily in C++ with a Python interface, allowing for efficient computation and ease of use. Apache SINGA is designed to be extensible, supporting custom operators and models, which makes it adaptable to various machine learning tasks.

Focus on distributed training with support for both data and model parallelism.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited community support

   Relatively low number of stars and forks on GitHub.

2. 02

   Complex setup for beginners

   Requires understanding of distributed systems and deep learning concepts.

3. 03

   Sparse documentation

   Limited documentation available compared to more popular frameworks.

What it does well

• Supports distributed training

  Designed to handle data and model parallelism across multiple nodes.

• Extensible with custom operators

  Allows users to define custom operators and models.

• Open-source and community-driven

  Hosted under the Apache Software Foundation with active contributions.

Pricing

Free tier

Yes

Paid from

—

Model

N/A

Enterprise plan

No

Pricing last confirmed Sep 29, 2026.