chalkpy-rs
Native Rust extension package for chalkpy
Decision gist · record as of 2026-08-14
Yes, if you are using chalkpy. Install it as a dependency of chalkpy rather than directly unless you have a specific reason to use it standalone. The package is actively maintained with no known vulnerabilities and supports current Python versions. License status is unclear, so verify licensing terms before use in proprietary projects.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later and less than 3.15; pre-built wheels available for macOS (x86_64, arm64), Linux (x86_64, aarch64), and Windows (x86_64)
- Medium install friction due to compiled wheels; actively maintained with recent release and broad platform coverage across macOS, Linux, and Windows.
License · maintenance · safety
(unclear)
last release 2026-05-14 (92 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 566,423 downloads/mo, #5,972 on PyPI
Alternatives
Verify before relying
pip install chalkpy-rs- What specific functionality this package provides and its intended use cases beyond serving as a chalkpy dependency
- Whether chalk_rs can be used standalone or only as a transitive dependency
- License terms, as license_treatment is marked unclear
What it is and what it does
chalkpy-rs is a native Rust extension package that serves as the compiled backend for chalkpy. It is distributed as a Python package named chalkpy-rs and provides the top-level import module chalk_rs. The package has no runtime dependencies and is available as pre-built wheels across Python versions 3.10 through 3.14 on macOS, Linux, and Windows platforms.
This is a specialized dependency package typically installed as a transitive requirement when using chalkpy rather than directly by end users. The medium install friction reflects the need to match compiled wheels to your Python version and architecture, though the broad wheel coverage minimizes compatibility issues on common platforms.
Use it for
- Installed as a compiled dependency when using chalkpy for feature engineering workflows
- Providing native-code performance acceleration for chalk-based computations
- Supporting chalkpy-based machine learning pipelines that require compiled backend performance
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are using chalkpy.
Install it as a dependency of chalkpy rather than directly unless you have a specific reason to use it standalone. The package is actively maintained with no known vulnerabilities and supports current Python versions. License status is unclear, so verify licensing terms before use in proprietary projects.
Install
chalkpy-rs on PyPI
Before you install
Medium install friction due to compiled wheels; actively maintained with recent release and broad platform coverage across macOS, Linux, and Windows.
Requires Python 3.10 or later and less than 3.15; pre-built wheels available for macOS (x86_64, arm64), Linux (x86_64, aarch64), and Windows (x86_64)
Quickstart
pip install chalkpy-rs
Verify before relying
- What specific functionality this package provides and its intended use cases beyond serving as a chalkpy dependency
- Whether chalk_rs can be used standalone or only as a transitive dependency
- License terms, as license_treatment is marked unclear
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 92 days since the last release |
| First released | |
| Downloads | 566,423 / month, #5,972 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Rust |
Evidence: chalkpy_rs-0.1.1-cp310-cp310-macosx_10_13_x86_64.whl; chalkpy_rs-0.1.1-cp310-cp310-macosx_11_0_arm64.whl; chalkpy_rs-0.1.1-cp310-cp310-manylinux_2_28_aarch64.whl; chalkpy_rs-0.1.1-cp310-cp310-manylinux_2_28_x86_64.whl; chalkpy_rs-0.1.1-cp310-cp310-win_amd64.whl; chalkpy_rs-0.1.1-cp311-cp311-macosx_10_13_x86_64.whl; chalkpy_rs-0.1.1-cp311-cp311-macosx_11_0_arm64.whl; chalkpy_rs-0.1.1-cp311-cp311-manylinux_2_28_aarch64.whl; chalkpy_rs-0.1.1-cp311-cp311-manylinux_2_28_x86_64.whl; chalkpy_rs-0.1.1-cp311-cp311-win_amd64.whl; chalkpy_rs-0.1.1-cp312-cp312-macosx_10_13_x86_64.whl; chalkpy_rs-0.1.1-cp312-cp312-macosx_11_0_arm64.whl; chalkpy_rs-0.1.1-cp312-cp312-manylinux_2_28_aarch64.whl; chalkpy_rs-0.1.1-cp312-cp312-manylinux_2_28_x86_64.whl; chalkpy_rs-0.1.1-cp312-cp312-win_amd64.whl; chalkpy_rs-0.1.1-cp313-cp313-macosx_10_13_x86_64.whl; chalkpy_rs-0.1.1-cp313-cp313-macosx_11_0_arm64.whl; chalkpy_rs-0.1.1-cp313-cp313-manylinux_2_28_aarch64.whl; chalkpy_rs-0.1.1-cp313-cp313-manylinux_2_28_x86_64.whl; chalkpy_rs-0.1.1-cp313-cp313-win_amd64.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “native compiled python module”
- chalkpy-rsProvides a native Rust extension package that serves as the compiled…
- flpcflpc wraps the Rust regex crate to provide faster regular expression…
- wurlitzerCaptures C-level stdout and stderr output in Python using os.dup2,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also anchorpy-core · retworkx · yaml-rs · toml-rs · rustworkx · setuptools-rust · fable-library · markdown-it-pyrs · sqlfluffrs · loro