# Downstream --- Rust Implementation


[](https://github.com/mmore500/downstream/actions/workflows/rust-ci.yaml?query=branch:rust)
[](https://github.com/mmore500/downstream)
[](https://zenodo.org/doi/10.5281/zenodo.10866541)
downstream provides efficient, constant-space implementations of stream curation algorithms.
- Free software: MIT license
- Documentation: <https://mmore500.github.io/downstream>
## Installation
Add downstream as a dependency in your `Cargo.toml`:
```toml
[dependencies]
downstream = ">=0.0.0"
```
## API Reference
See the [Python quickstart](https://mmore500.github.io/downstream/quickstart) for outline and intuition.
Each algorithm variant is accessible through the `downstream::dstream` module:
* Steady: `downstream::dstream::SteadyAlgo`
* Stretched: `downstream::dstream::StretchedAlgo`
* Tilted: `downstream::dstream::TiltedAlgo`
See [selecting a dstream algorithm](https://mmore500.github.io/downstream/algorithm) for more information.
#### `has_ingest_capacity`
```rust
pub fn has_ingest_capacity<Uint: downstream::_auxlib::UnsignedTrait>(S: Uint, T: Uint) -> bool
```
Determines if there is capacity to ingest a data item at logical time `T`.
* `Uint`: Integer type (e.g., `u32`)
* `S`: Buffer size (must be a power of two)
* `T`: Stream position of data item (zero-indexed)
#### `assign_storage_site`
```rust
pub fn assign_storage_site<Uint: downstream::_auxlib::UnsignedTrait>(S: Uint, T: Uint) -> Option<Uint>
```
Site selection algorithm for steady curation. Returns selected site or `None` if data should be discarded.
* `Uint`: Integer type (e.g., `u32`)
* `S`: Buffer size (must be a power of two)
* `T`: Stream position of data item (zero-indexed)
### `_assign_storage_site` (low-level interface)
```rust
pub fn _assign_storage_site<Uint: downstream::_auxlib::UnsignedTrait>(S: Uint, T: Uint) -> Uint
```
Returns `S` if data should be discarded.
## Citing
If downstream contributes to a scientific publication, please cite it as
> Yang C., Wagner J., Dolson E., Zaman L., & Moreno M. A. (2025). Downstream: efficient cross-platform algorithms for fixed-capacity stream downsampling. arXiv preprint arXiv:2506.12975. https://doi.org/10.48550/arXiv.2506.12975
```bibtex
@misc{yang2025downstream,
doi={10.48550/arXiv.2506.12975},
url={https://arxiv.org/abs/2506.12975},
title={Downstream: efficient cross-platform algorithms for fixed-capacity stream downsampling},
author={Connor Yang and Joey Wagner and Emily Dolson and Luis Zaman and Matthew Andres Moreno},
year={2025},
eprint={2506.12975},
archivePrefix={arXiv},
primaryClass={cs.DS},
}
```
And don't forget to leave a [star on GitHub](https://github.com/mmore500/downstream/stargazers)!