Crate

bytesize

Browse Rust repositories that depend on bytesize.

106
Repositories
95%
Actively maintained
100
Updated ≤ 30 days
492k
Total stars
100
Owners

Counted from the Cargo.toml manifests of the 106 indexed repositories that declare bytesize as a dependency — not download counts. Dependency data last verified 2026-08-13.

Browse 106 repositories using bytesize in Repos →
Often used with

Crates that show up unusually often in bytesize projects. The most distinctive pairings rank first — crates these projects use far more than the average indexed Rust project does, not just crates that are popular everywhere. Each percentage is the share of bytesize projects that also use it.

Used by these organizations
50 of 106 repositories · ranked by stars · 100 pushed in the last 30 days
rustfs31kactive

🚀2.3x faster than MinIO for 4KB object payloads. RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platforms such as MinIO and Ceph.

maturin5.8kactive

Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages

fluvio5.2kactive

🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.

yek2.5kmaintenance

A fast Rust based tool to serialize text-based files in a repository or directory for LLM consumption

auron1.8kactive

The Auron accelerator for distributed computing framework (e.g., Spark) leverages native vectorized execution to accelerate query processing

⑂ 237147
hermit1.4kactive

Hermit launches linux x86_64 programs in a special, hermetically isolated sandbox to control their execution. Hermit translates normal, nondeterministic behavior, into deterministic, repeatable behavior. This can be used for various applications, including replay-debugging, reproducible artifacts, chaos mode concurrency testing and bug analysis.

Oxen1.2kactive

Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.

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