| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Deep Learning Software | 7.9 (#14) | 8.3 (#7) |
| Installation | The documentation recommends installing Chainer with pip and also describes installation from a source tarball or Git repository. | JAX uses the `jax` Python package and `jaxlib`, which contains compiled binaries with different builds for operating systems and accelerators. |
| Integrations | The v7 release announcement says ONNX-Chainer is integrated into Chainer and that most Chainer features, including ChainerMN, are compatible with ChainerX ndarray. | The documentation lists ecosystem libraries including Flax, Keras, Optax, TensorFlow Datasets, Hugging Face Datasets, NumPyro, and PyMC. |
| 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. | The installation guide labels Windows x86_64 CPU support experimental and Apple GPU support on Apple ARM experimental. |
| 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. | The installation guide lists CPU support for Linux, macOS and Windows, with accelerator support varying by operating system and hardware. |