RustPyNet
| Crates.io | RustPyNet |
| lib.rs | RustPyNet |
| version | 0.1.3 |
| source | src |
| created_at | 2023-09-13 11:02:53.252587 |
| updated_at | 2023-09-13 18:52:32.793924 |
| description | RustPyNet is a crate designed to help use python inside multiple threads for small-medium workloads like calling fast execution callbacks and small-medium operations from multiple places in an orchestrated manner. RustPyNet is built on top of PyO3 and supports all PyO3 python operations, including basic responses for returning function results. |
| homepage | https://github.com/letalboy/RustPyNet |
| repository | |
| max_upload_size | |
| id | 971387 |
| size | 19,575 |
Poseidon (letalboy)
documentation
https://docs.rs/RustPyNet
README
RustPyNet: Python Operations Processing Pool in Rust
RustPyNet is designed to bridge the gap between Python and Rust, offering a Python operations processing pool that integrates seamlessly with the PyO3 crate.
Objective
The primary goal of RustPyNet is to address the limitations posed by Python's Global Interpreter Lock (GIL). By facilitating multi-threaded operations, RustPyNet allows for parallel execution of Python functions, even though it's bound to a single interpreter. This makes it particularly suitable for scenarios where the bulk of the workload is handled by Rust, but there's a need to execute smaller tasks in Python.
Key Features:
- Bypass GIL Mechanism: Enables parallel execution of Python code sections that would otherwise be limited by the GIL.
- Thread-Safe Python Object Transfer: Facilitates the transfer of Python objects between threads.
- Procedural Macros: Simplifies the integration of Python into Rust code with procedural macros that auto-index to the Python pool.
- Efficient for Medium-Small Tasks: Optimized for tasks that have a light Python workload but are heavy on the Rust side.
More info in: https://github.com/letalboy/RustPyNet