ONNX Runtime vs Tarantella
ONNX Runtime
onnxruntime.aiTarantella
tarantella.orgSide by side
| Figure | ONNX Runtime | Tarantella |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Deep Learning Software | 8.4 (#6) | 6.9 (#30) |
| Performance | The runtime optimizes latency, throughput, memory utilization, and binary size across CPU, GPU, and NPU hardware. | The site reports speedups of up to 50x on GPU and CPU clusters using data parallelism. |
| Purpose | ONNX Runtime is a cross-platform machine-learning model accelerator with interfaces for hardware-specific libraries. | Tarantella is an open-source distributed deep learning framework designed to speed up neural network training. |
| Support | Documentation questions are directed to issue filing, and the project invites users to report bugs, suggest features, and submit pull requests on GitHub. | The documentation directs users to bug reports, feature requests, tutorials, and technical documentation for help and community participation. |
Plans
In their own words
ONNX Runtime
ONNX Runtime is a free engine for machine-learning inference and training within existing technology stacks. It can run models from frameworks including PyTorch, TensorFlow/Keras, TFLite, and scikit-learn. For inference, it optimizes latency, throughput, memory use, and binary size through graph transformations, accelerator-aware partitioning, and optimized computation kernels. Its Execution Providers connect ONNX models to hardware acceleration libraries for CPUs, GPUs, FPGAs, and specialized NPUs. Listed options include NVIDIA CUDA and TensorRT, Intel OpenVINO, DirectML, Qualcomm QNN, Android NNAPI, Apple CoreML, and WebGPU. Deployment spans cloud servers, edge and mobile devices, and browsers; its web runtime supports browser models and its mobile runtime supports Android and iOS. Supported languages include Python, C#, C++, Java, JavaScript, and Rust. Developers can create smaller web or mobile packages by including only the operators and opsets their models need. The open-source runtime is available on Android, iOS, Linux, macOS, self-hosted environments, web, and Windows.
Tarantella
Tarantella has no write-up on Specifiction yet; its figures are above.