Chainer
chainer.org
Spec sheet
- Product
- Chainer is a Python-based, standalone open-source framework for building deep-learning models.Read 11 Oct 2026 · chainer.org
- Platforms
- The recommended environments are 64-bit Ubuntu 14.04/16.04 LTS and CentOS 7; the documentation says it cannot guarantee operation on Windows or macOS.Read 11 Oct 2026 · docs.chainer.org
- Integrations
- The v7 release announcement says ONNX-Chainer is integrated into Chainer and that most Chainer features, including ChainerMN, are compatible with ChainerX ndarray.Read 11 Oct 2026 · chainer.org
- License
- The GitHub repository identifies Chainer's license as the MIT License.Read 11 Oct 2026 · github.com
- Founded
- 2015Read 28 Sep 2026 · chainer.org
- Automatic differentiation
- It provides automatic differentiation APIs using the define-by-run approach, also known as dynamic computational graphs.Read 11 Oct 2026 · github.com
- Community support
- The documentation links to Chainer community Slack chat and forums.Read 11 Oct 2026 · docs.chainer.org
- Development status
- Chainer is in maintenance phase, with further development limited to bug fixes and maintenance.Read 11 Oct 2026 · docs.chainer.org
- Extensions
- ChainerRL implements deep reinforcement-learning algorithms, and ChainerCV provides tools for computer-vision neural networks.Read 11 Oct 2026 · chainer.org
- GPU computing
- Chainer supports CUDA computation and can run on multiple GPUs; CUDA support requires installing CuPy separately.Read 11 Oct 2026 · chainer.org
- GPU support
- Chainer supports CUDA computation and multi-GPU use; CUDA support requires CuPy, and cuDNN support is optional.Read 11 Oct 2026 · docs.chainer.org
- Installation
- The documentation recommends installing Chainer with pip and also describes installation from a source tarball or Git repository.Read 11 Oct 2026 · docs.chainer.org
- Maintenance status
- Chainer is in maintenance, with further development limited to bug fixes and maintenance.Read 11 Oct 2026 · docs.chainer.org
- Migration
- The maker says it chose PyTorch as Chainer's replacement and released migration resources for users moving to PyTorch.Read 11 Oct 2026 · chainer.org
- Model types
- It supports feed-forward, convolutional, recurrent, recursive, and per-batch network architectures.Read 11 Oct 2026 · chainer.org
- Network architectures
- It supports feed-forward, convolutional, recurrent, and recursive networks, as well as per-batch architectures.Read 11 Oct 2026 · chainer.org
- Optional capabilities
- Optional dependencies enable image-dataset support, HDF5 serialization, and distributed deep learning with ChainerMN.Read 11 Oct 2026 · docs.chainer.org
- Optional features
- Image dataset support, HDF5 serialization, and distributed deep learning with ChainerMN require optional dependencies.Read 11 Oct 2026 · docs.chainer.org
- Platform limits
- The documentation recommends 64-bit Ubuntu 14.04 or 16.04 and CentOS 7, and says it cannot guarantee operation on Windows or macOS.Read 11 Oct 2026 · docs.chainer.org
- Python control flow
- Forward computation can use Python control-flow statements while retaining backpropagation, which the site says makes code intuitive and easy to debug.Read 11 Oct 2026 · chainer.org
- Python support
- Chainer v7 supports Python 3.5.2 and later versions through 3.8, while Python 2 is unsupported.Read 11 Oct 2026 · docs.chainer.org
- Target users
- The maker describes Chainer as supporting deep-learning research and development, and says it chose PyTorch as the replacement framework for its own development efforts.Read 11 Oct 2026 · chainer.org
Where Specifiction places it
- Deep Learning Software#14 of 357.9