--- id: ormar-utils version: "0.2.0" license: MIT license_treatment: permissive maintenance: active --- # ormar-utils — Rust-accelerated utility functions for the ormar ORM License: permissive · Maintenance: active · Downloads: 78.4K/mo ## What it is and what it does ormar-utils is a companion package to the ormar async ORM that provides Rust-compiled versions of internal utility functions. It contains no runtime dependencies and is designed to be installed alongside ormar; when present, ormar automatically uses the faster Rust implementations for operations like encoding/decoding bytes and JSON, hashing, list/dict transformations, and merge planning. The package is built as a compiled extension using the CPython stable ABI, meaning a single wheel per platform supports Python 3.10 and later without requiring separate builds for each Python version. It is optional—ormar works without it—but offers performance gains for workloads that heavily use the accelerated operations. The package is actively maintained, recently released, and carries no known security vulnerabilities. Use it for: - Speed up ormar ORM queries and data transformations by installing Rust-accelerated utilities alongside ormar. - Optimize performance-critical async database operations that rely on ormar's internal hashing and list-grouping functions. - Reduce latency in applications using ormar by leveraging compiled Rust implementations of encoding/decoding and merge planning. - Deploy ormar applications across multiple Python versions (3.10+) without rebuilding wheels, thanks to stable ABI compatibility. - Improve throughput in high-volume data processing pipelines that use ormar's UniqueList and dict-translation utilities. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Provides Rust-accelerated implementations of performance-critical utility functions for the ormar async ORM, automatically used by ormar when installed. Yes, if you use ormar and want transparent performance gains. Install friction is moderate (compiled wheels, Python 3.10+ required), but pre-built wheels cover common platforms and the stable ABI eliminates per-version rebuilds. The package is actively maintained, has no security vulnerabilities, and carries a permissive MIT license. It is optional—ormar functions without it—so there is no downside to trying it if your platform is supported. ## Install pip install ormar-utils uv add ormar-utils poetry add ormar-utils ## Installing ormar-utils Before you install: Medium install friction due to compiled wheels; however, pre-built wheels target the stable ABI (abi3) for Python 3.10+, so a single wheel per platform works across current and future Python releases without per-version rebuilds. Repository is active with recent commits. License in practice: MIT license is permissive; you may use, modify, and distribute this package with minimal restrictions, provided you retain the license notice. Quickstart: pip install ormar-utils # ormar automatically detects and uses the Rust implementations import ormar # Use ormar as normal; Rust-accelerated functions are invoked internally Requires Python >= 3.10. Pre-built wheels are available for macOS (x86_64, arm64), Linux (x86_64, aarch64), and Windows (x64); other platforms may require a Rust toolchain to build from source. Verify before relying: - Exact performance improvement magnitude over pure-Python implementations not quantified in the fact sheet. - Whether ormar detects and uses these functions automatically or requires explicit configuration. - Compatibility with all ormar versions or specific version constraints. ## Package facts - License: MIT (permissive) - Python support: supports_current - Install friction: medium - Maintenance: active - Downloads: 78.4K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags ormar performance optimization, rust accelerated orm utilities, ormar rust speedup, async orm utilities, ormar internal functions, database orm acceleration, rust python orm, rust-accelerated, orm-utilities, performance-optimization [View on SkillFed](https://skillfed.io/packages/ormar-utils) · [View on PyPI](https://pypi.org/project/ormar-utils/)