pyvrl
Exposes Vector VRL to Python
Decision gist · record as of 2026-08-14
Yes, if you are already using Vector and want to apply VRL transforms within Python code. The permissive license and zero runtime dependencies make it low-risk to add. However, the project's dormant status and lack of documentation beyond a single example mean you should verify that VRL's feature set meets your transformation needs and be prepared to work from the Vector VRL documentation directly.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; compiled wheels are provided for common platforms but may require building from source on unsupported architectures.
- Medium install friction due to compiled wheels across multiple platforms and Python versions.
- Project is dormant since May 2024 with no recent maintenance activity, though the repository remains active.
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), allowing broad use, modification, and distribution with minimal restrictions.
last release 2024-05-16 (820 days) · last repo commit 2024-05-16 · 3 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 575,818 downloads/mo, #5,935 on PyPI
Alternatives
Verify before relying
pip install pyVRL
from pyvrl import Transform
data = {"x": "foo"}
vrl_program = '.y = "bar"\n.x = upcase!(.x)\n.'
transform = Transform(vrl_program)
output = transform.remap(data)- Whether VRL program syntax and capabilities are documented beyond the single example provided
- Performance characteristics and typical use-case scale compared to native Python transforms
- Whether the project will receive updates for future Python versions beyond 3.10+
What it is and what it does
pyVRL is a Python binding to Vector's VRL, a domain-specific language for data transformation. It lets you define data remapping logic as VRL programs and apply them to Python dictionaries through a Transform object. The package compiles to native code via Rust, providing performance benefits for data pipeline operations.
The typical workflow is to instantiate a Transform with a VRL program string, then call its remap() method on data dictionaries. VRL supports field manipulation, function calls (like upcase! and uuid_v7()), and conditional logic. The project is minimal and dormant—last updated in May 2024—with no runtime dependencies beyond Python itself.
Use it for
- Transform and normalize structured data fields in ETL pipelines using VRL syntax
- Apply consistent remapping rules to event or log data before storage or downstream processing
- Generate derived fields (like UUIDs or transformed values) during data ingestion workflows
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using Vector and want to apply VRL transforms within Python code.
The permissive license and zero runtime dependencies make it low-risk to add. However, the project's dormant status and lack of documentation beyond a single example mean you should verify that VRL's feature set meets your transformation needs and be prepared to work from the Vector VRL documentation directly.
Install
pyvrl on PyPI
Before you install
Medium install friction due to compiled wheels across multiple platforms and Python versions. Project is dormant since May 2024 with no recent maintenance activity, though the repository remains active.
Requires Python 3.10 or later; compiled wheels are provided for common platforms but may require building from source on unsupported architectures.
License in practice
Licensed under MIT (permissive), allowing broad use, modification, and distribution with minimal restrictions.
Quickstart
pip install pyVRL
from pyvrl import Transform
data = {"x": "foo"}
vrl_program = '.y = "bar"\n.x = upcase!(.x)\n.'
transform = Transform(vrl_program)
output = transform.remap(data)Verify before relying
- Whether VRL program syntax and capabilities are documented beyond the single example provided
- Performance characteristics and typical use-case scale compared to native Python transforms
- Whether the project will receive updates for future Python versions beyond 3.10+
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Dormant 820 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 575,818 / month, #5,935 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyProgramming Language :: Rust |
Evidence: pyVRL-0.0.2-cp310-cp310-macosx_10_12_x86_64.whl; pyVRL-0.0.2-cp310-cp310-macosx_11_0_arm64.whl; pyVRL-0.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; pyVRL-0.0.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl; pyVRL-0.0.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl; pyVRL-0.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl; pyVRL-0.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; pyVRL-0.0.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl; pyVRL-0.0.2-cp310-none-win32.whl; pyVRL-0.0.2-cp310-none-win_amd64.whl; pyVRL-0.0.2-cp311-cp311-macosx_10_12_x86_64.whl; pyVRL-0.0.2-cp311-cp311-macosx_11_0_arm64.whl; pyVRL-0.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; pyVRL-0.0.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl; pyVRL-0.0.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl; pyVRL-0.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl; pyVRL-0.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; pyVRL-0.0.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl; pyVRL-0.0.2-cp311-none-win32.whl; pyVRL-0.0.2-cp311-none-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 › “vrl vector remap language python”
- pyvrlExposes Vector's VRL (Vector Remap Language) to Python, enabling fast…
- toblerTobler transfers spatial data between different polygonal…
- langchain-google-vertexaiConnects LangChain applications to Google Cloud's Vertex AI…
Give your agent the search over MCP, or paste the wish link into any chat.
More Utilities packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Detects and normalizes text encoding from unknown or ambiguous sources, supporting all IANA character sets that Python's core library provides codecs for, with the ability to register custom codecs.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Pygments is a syntax highlighter that colorizes source code and text in over 500 languages and formats, outputting to HTML, LaTeX, RTF, SVG, images, or ANSI terminal sequences.
Install it if you need to display or transform source code.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
See also fastremap · fasttransform · petl · mapbox-vector-tile · transformations · python-fcl · vtracer · reproject · azureml-dataprep-rslex · pytransform3d