SINGA: The Apache deep learning project that keeps its cards close

What it does

Apache SINGA is an open-source distributed deep learning system under the Apache umbrella. The project ships C++ and Python code, runs on Ubuntu and macOS, and distributes via conda and Docker. Beyond that, the README is largely a collection of badges and links to external docs, so the exact architecture and feature set are left to the reader to discover.

The interesting bit

What stands out is the contrast between the project’s institutional pedigree—Apache Foundation hosting, formal JIRA ticketing, multiple CI pipelines—and the near-total absence of on-page technical detail. It is either extreme confidence or extreme minimalism.

Key highlights

• Badges suggest active CI for Ubuntu, macOS, and conda packages.
• Docker images are published and tracked for pull counts.
• Code quality scanning covers both C++ and Python grades.
• Documentation is hosted on ReadTheDocs.
• Issue tracking lives on Apache JIRA, not GitHub Issues.

Caveats

• The README explains almost nothing about the framework’s API, model support, or how its distribution strategy works.
• Visitors must click through to external documentation to learn what SINGA actually does or why one would choose it.

Verdict

Curious developers already embedded in the Apache ecosystem might find SINGA worth a dig through the external docs. Everyone else should probably know what problem they are solving before clicking through.