Apache SINGA
Artificial neural network software
Deep learning software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Apache SINGA and its alternatives fit your requirements.
Completely free
Free Trial unavailable
Free version
Small
Medium
Large
-
What is Apache SINGA
Apache SINGA is an open-source deep learning framework for building and training artificial neural networks. It targets researchers, engineers, and data science teams that need a programmable library for model development and distributed training. The project is governed under the Apache Software Foundation and provides APIs and components intended for scalable training across CPUs/GPUs and clusters.
Apache-governed open source
The project operates under the Apache Software Foundation, which provides a well-defined governance and licensing model. This can simplify legal review and redistribution compared with more restrictive licenses. It also reduces dependency on a single commercial vendor for roadmap control.
Distributed training orientation
SINGA is designed with distributed training in mind, including support for scaling training workloads beyond a single machine. This is relevant for teams training larger models or working with large datasets. It can be deployed in cluster environments where parallelism and resource utilization matter.
Framework-level flexibility
As a general-purpose deep learning framework, SINGA supports building custom neural network architectures rather than only running prepackaged models. This suits experimentation, research prototypes, and bespoke production models. Teams can integrate it into broader pipelines using standard programming workflows.
Smaller ecosystem and mindshare
Compared with the most widely adopted deep learning frameworks, SINGA has a smaller community footprint and fewer third-party tutorials, extensions, and prebuilt integrations. This can increase time-to-solution for common tasks such as model zoo usage, deployment patterns, and troubleshooting. Hiring and onboarding may also be harder due to fewer practitioners with prior experience.
Fewer turnkey managed options
SINGA is primarily a framework rather than a managed cloud service or preconfigured VM/AMI offering. Teams typically need to handle environment setup, dependency management, and scaling infrastructure themselves. Organizations seeking fully managed training and deployment workflows may find additional platform work is required.
Potential feature parity gaps
Some advanced capabilities commonly expected in modern deep learning stacks (for example, broad hardware acceleration coverage, extensive tooling for experiment tracking, or rich deployment/export ecosystems) may require additional components or custom engineering. The pace and breadth of ecosystem tooling can lag larger projects. This can affect productionization effort for certain use cases.
Plan & Pricing
Pricing model: Open-source / Completely free License: Apache License Version 2.0 Distribution & access: Source code, pip/conda packages and Docker images available for download from the official Apache SINGA site (no purchase required) Paid plans / tiers: None listed on the official site (no Basic/Pro/Enterprise or usage-based pricing shown) Notes: Project is an Apache Top-Level Project; official site provides downloads, docs and source repository but does not advertise any paid/commercial plans.
Seller details
Apache Software Foundation
Wakefield, Massachusetts, USA
1999
Non-profit
https://www.apache.org/
https://x.com/TheASF
https://www.linkedin.com/company/the-apache-software-foundation/
