parking_lot
A faster, smaller drop-in replacement for Rust's standard library Mutex, RwLock, Condvar, and Once.
Repository Health
Technical Analysis
parking_lot provides Mutex, RwLock, Condvar, and Once implementations that are smaller, faster, and more flexible than the ones in Rust’s standard library, plus a ReentrantMutex for recursive locking. It’s built on a low-level “parking lot” API (in the companion parking_lot_core crate) — the same design pattern used by WebKit’s JavaScriptCore — that manages queues of parked (blocked) threads efficiently, letting the higher-level lock types stay as small as a single byte or word instead of allocating OS-specific primitives on the heap.
Benchmarks in the README show parking_lot’s Mutex roughly 1.5x faster than std::sync::Mutex when uncontended and up to 5x faster under contention, with RwLock seeing gains up to 50x in some multi-reader scenarios. The crate is one of the most-depended-upon in the Rust ecosystem (nearly a billion total downloads), used transitively by countless other crates that need efficient synchronization primitives — including the type-safe generic lock API it publishes separately as lock_api, which other crates use to build their own custom lock types on the same fast core.
What You Get
- Mutex, RwLock, Condvar, and Once types that are drop-in faster replacements for std::sync equivalents
- A ReentrantMutex type supporting recursive locking, which std::sync does not provide
- A low-level parking_lot_core API for building custom synchronization primitives on the same efficient thread-parking mechanism
- lock_api, a type-safe generic lock API that other crates use to implement their own Mutex/RwLock-like types
- Optional features: fair mutexes, hardware lock elision on supported x86 processors, deadlock detection, and serde support
Common Use Cases
- Replacing std::sync::Mutex/RwLock in performance-sensitive multi-threaded Rust code to cut contention overhead
- Building custom lock types on top of lock_api’s generic RawMutex/RawRwLock traits
- Using ReentrantMutex where a thread may need to re-acquire a lock it already holds
- Debugging deadlocks in production via the optional deadlock-detection feature that periodically scans for cycles
Under The Hood
Architecture — The crate’s public types (mutex.rs 385 lines, rwlock.rs 659 lines, condvar.rs 1,273 lines, once.rs 498 lines) are thin wrappers around raw primitive implementations (raw_mutex.rs, raw_rwlock.rs 1,158 lines) that in turn build on the separately-published parking_lot_core crate (in core/src/), which implements the actual parking-lot algorithm: a global hash table of wait queues (word_lock.rs, parking_lot.rs) that lets threads park/unpark without each lock needing its own OS-level primitive. lock_api sits alongside as a generic, type-safe trait layer (RawMutex, RawRwLock) that both this crate and third-party crates build concrete lock types on top of.
Tech Stack — Pure Rust with minimal dependencies (lock_api, parking_lot_core, optional serde for serialization support), platform-specific thread-parking backends under core/src/thread_parker/ for Unix, Windows, and wasm. Uses cfg-gated optional features (hardware-lock-elision, deadlock_detection, arc_lock, send_guard) rather than always-on complexity.
Code Quality — Test coverage leans on doctests and dedicated regression tests for specific historical bugs (tests/issue_203.rs, tests/issue_392.rs), plus CI that runs under Miri (ci/miri.sh) for undefined-behavior detection — an important signal of rigor for unsafe, low-level concurrency code. Activity has slowed to ‘moderate’ per GitHub metrics, consistent with a mature, largely feature-complete crate rather than one being actively rewritten.
API Design — The types are intentionally near-identical in shape to std::sync’s Mutex/RwLock, so migration is usually a matter of swapping the import; extras like raw locking without a RAII guard and atomic write-to-read downgrading are additive rather than disruptive to that familiar API. The one real learning-curve cost is understanding the optional feature flags (fairness, elision, deadlock detection) well enough to pick the right trade-offs, since each changes performance/behavior characteristics non-trivially.
Used by 15 apps in this directory
Cap
Team Chat · Video Conferencing
Open source Loom alternative with GPU-accelerated recording, instant share links, AI summaries, and full self-hosting via Docker Compose.
Flowfile
Data Engineering
Visual ETL that compiles to Polars — build pipelines on a canvas, export as standalone Python, and run anywhere without platform lock-in.
Fluree DB
Databases
A temporal, verifiable graph database with git-like branching, integrated vector/text/geo search, and RDF/SPARQL/JSON-LD/openCypher support — benchmarked at 10.4x faster than the next database on the full Wikidata dump.
Fyrox
Game Development
A production-ready 2D/3D game engine written in Rust with a built-in scene editor, physics, and hot-reloading game scripts
hoop
Security · Monitoring
A wire-protocol gateway that enforces data masking, command blocking, approval workflows, and full session recording for engineers and AI agents accessing production infrastructure.
InfluxDB
Databases · Analytics
Open-source time-series database built for real-time ingest, fast SQL queries, and embedded Python automation — powered by Apache Arrow and Parquet.
Kuku
Note Taking
A local-first, open-source Markdown knowledge workspace for macOS — plain files, personal wiki and Second Brain workflows, AI-assisted diffs, and encrypted sync, built as an Obsidian alternative.
Lokus
Note Taking · Knowledge Management
Local-first note-taking with graph view, canvas & AI plugins—your Markdown files, zero telemetry, blazing-fast Rust performance.
ParadeDB
Search · Databases · Analytics
Born out of Y Combinator's S2023 batch, ParadeDB is a Postgres extension that delivers Elasticsearch-quality BM25 search and real-time analytics without a separate search cluster to manage.