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hydraters

Hydrate Python dictionaries with Rust.

With conditionsPyPI Software DevelopmentReleased May 2026217.0K downloads / moPlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — hydraters-0.1.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl · hydraters-0.1.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl · hydraters-0.1.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
v0.1.4 · released 2026-05-27 · Python >=3.10

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.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later; no runtime dependencies, but installation requires prebuilt wheels or a Rust toolchain to compile.
  • Medium install friction due to compiled wheels; the package provides prebuilt binaries for Python 3.10–3.14 across Linux (multiple architectures), macOS, Windows, and musl-based systems, so installation should succeed without compilation on most platforms.
  • Repository is active with a recent commit.

License · maintenance · safety

(unclear) — License treatment is unclear—the description states MIT, but the metadata fields license_raw and license_spdx are both null. Verify the actual license terms before relying on this package in a commercial or restricted-license context.

last release 2026-05-27 (79 days) · last repo commit 2026-08-11 · 8 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 217,047 downloads/mo, #9,367 on PyPI

Verify before relying

import hydraters

base = {"a": "first", "b": "second", "c": {"d": "third"}}
item = {"c": {"e": "fourth", "f": "fifth"}}
result = hydraters.hydrate(base, item)
# result == {"a": "first", "b": "second", "c": {"d": "third", "e": "fourth", "f": "fifth"}}
  • Whether the package is suitable for production use given its early version (0.1.4) and small repository footprint (8 stars).
  • Performance characteristics compared to pure-Python alternatives in typical use cases.
  • Stability and API compatibility guarantees across minor versions.
Same gist for agents: .md · .json

What it is and 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—useful for workflows where certain fields should be removed before or after hydration.

The 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 (3.10–3.14) across CPython and PyPy implementations on Linux, macOS, Windows, and musl systems.

Use it for

  • 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.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

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.

Install

hydraters on PyPI

Before you install

Medium install friction due to compiled wheels; the package provides prebuilt binaries for Python 3.10–3.14 across Linux (multiple architectures), macOS, Windows, and musl-based systems, so installation should succeed without compilation on most platforms. Repository is active with a recent commit.

Requires Python 3.10 or later; no runtime dependencies, but installation requires prebuilt wheels or a Rust toolchain to compile.

License in practice

License treatment is unclear—the description states MIT, but the metadata fields license_raw and license_spdx are both null. Verify the actual license terms before relying on this package in a commercial or restricted-license context.

Quickstart

import hydraters

base = {"a": "first", "b": "second", "c": {"d": "third"}}
item = {"c": {"e": "fourth", "f": "fifth"}}
result = hydraters.hydrate(base, item)
# result == {"a": "first", "b": "second", "c": {"d": "third", "e": "fourth", "f": "fifth"}}

Verify before relying

  • Whether the package is suitable for production use given its early version (0.1.4) and small repository footprint (8 stars).
  • Performance characteristics compared to pure-Python alternatives in typical use cases.
  • Stability and API compatibility guarantees across minor versions.

Package facts

LicenseNot declared unclear
Python supportSupports the current Python release >=3.10
Install frictionMedium. Platform-specific wheel
Runtime dependenciesNone
MaintenanceActively maintained 79 days since the last release
Last repo commit
First released
Downloads217,047 / month, #9,367 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyProgramming Language :: Rust

Evidence: hydraters-0.1.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; hydraters-0.1.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl; hydraters-0.1.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl; hydraters-0.1.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl; hydraters-0.1.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; hydraters-0.1.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl; hydraters-0.1.4-cp310-cp310-musllinux_1_2_aarch64.whl; hydraters-0.1.4-cp310-cp310-musllinux_1_2_armv7l.whl; hydraters-0.1.4-cp310-cp310-musllinux_1_2_i686.whl; hydraters-0.1.4-cp310-cp310-musllinux_1_2_x86_64.whl; hydraters-0.1.4-cp310-cp310-win_amd64.whl; hydraters-0.1.4-cp311-cp311-macosx_10_12_x86_64.whl; hydraters-0.1.4-cp311-cp311-macosx_11_0_arm64.whl; hydraters-0.1.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; hydraters-0.1.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl; hydraters-0.1.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl; hydraters-0.1.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl; hydraters-0.1.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; hydraters-0.1.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl; hydraters-0.1.4-cp311-cp311-musllinux_1_2_aarch64.whl

Tags

Capabilities
dictionary mergingnested dict mergerust-accelerated dict operationshydrate dictionariesfast dict combiningmerge nested objectsdictionary hydration
Topics
rust-accelerateddict-operationsperformance

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See also deepmerge · plucky · flatdict · dict-recursive-update · mergedeep · deepdiff6 · super-collections · ormar-utils · uuid-utils