{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/13"}],"enrichment":{"capability":"Merges nested Python dictionaries efficiently by delegating the merge logic to Rust, with support for marking keys that should not be merged.","skillfed_tags":["rust-accelerated","dict-operations","performance"],"use_cases":["Merge large nested JSON or dictionary structures in data pipelines where performance matters, such as in geospatial or catalog systems.","Combine base configurations with overrides or patches while preserving nested structure and avoiding key replacement.","Clean up dictionary entries marked with DO_NOT_MERGE_MARKER before serialization or storage.","Accelerate dictionary operations in applications that process many merge operations per second."],"what_it_does":"Hydraters is a Python package that merges nested dictionaries by delegating the merge operation to Rust code, trading a compiled dependency for speed. It takes a base dictionary and an item dictionary, recursively combines them (with nested dicts merged rather than replaced), and returns the result. The package also provides a DO_NOT_MERGE_MARKER constant and a strip_unmatched_markers function to clean up keys marked for exclusion\u2014useful for workflows where certain fields should be removed before or after hydration.\n\nThe package was extracted from the pgstac project, where benchmarking showed that Rust-based dictionary merging significantly outperforms pure Python. It has no runtime dependencies beyond the compiled extension itself, and supports modern Python versions (3.10\u20133.14) across CPython and PyPy implementations on Linux, macOS, Windows, and musl systems.","worth_installing":"Yes, if you need fast nested dictionary merging and are comfortable with a young package (first release November 2024, version 0.1.4). The compiled wheels install without friction on common platforms, there are no runtime dependencies, and the code is actively maintained. However, verify the license status (metadata shows unclear treatment despite the description claiming MIT) and assess whether the early version number and small user base suit your stability requirements."},"id":"hydraters","links":{"html":"https://skillfed.io/packages/hydraters","md":"https://skillfed.io/packages/hydraters.md","pypi":"https://pypi.org/project/hydraters/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-27","license_spdx":null,"license_treatment":"unclear","name":"hydraters","python_support":"supports_current","summary":"Hydrate Python dictionaries with Rust."},"popularity":{"monthly_downloads":217047,"position":9367,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.4"}