vroom-csv

High-performance CSV parser with SIMD acceleration for Python.

Features

SIMD-accelerated parsing using Google Highway for portable vectorization
Multi-threaded parsing for large files
Automatic dialect detection (delimiter, quoting, line endings)
Automatic type inference detects integers, floats, booleans, and strings
Arrow PyCapsule interface for zero-copy interoperability with PyArrow, Polars, DuckDB
Full type annotations with IDE autocomplete support

Installation

pip install vroom-csv

For Arrow interoperability:

pip install vroom-csv[arrow]   # PyArrow support
pip install vroom-csv[polars]  # Polars support

For development:

pip install vroom-csv[dev]

Quick Start

import vroom_csv

# Read a CSV file
table = vroom_csv.read_csv("data.csv")

print(f"Loaded {table.num_rows} rows, {table.num_columns} columns")
print(f"Columns: {table.column_names}")

# Access data
names = table.column("name")
first_row = table.row(0)

Arrow Interoperability

vroom-csv implements the Arrow PyCapsule interface for zero-copy data exchange:

PyArrow

import pyarrow as pa
import vroom_csv

table = vroom_csv.read_csv("data.csv")
arrow_table = pa.table(table)  # Zero-copy conversion

# Now use PyArrow's features
arrow_table.to_pandas()

Polars

import polars as pl
import vroom_csv

table = vroom_csv.read_csv("data.csv")
df = pl.from_arrow(table)  # Zero-copy conversion

# Now use Polars' features
df.filter(pl.col("age") > 30)

DuckDB

import duckdb
import vroom_csv

table = vroom_csv.read_csv("data.csv")
result = duckdb.query("SELECT * FROM table WHERE age > 30")

API Reference

`read_csv(path, ...)`

Read a CSV file and return a Table object.

read_csv(
    path: str,
    delimiter: str | None = None,
    quote_char: str = '"',
    has_header: bool = True,
    skip_rows: int = 0,
    n_rows: int | None = None,
    usecols: list[str | int] | None = None,
    dtype: dict[str, str] | None = None,
    null_values: list[str] | None = None,
    empty_is_null: bool = True,
    encoding: str = "utf-8",
    num_threads: int = 1,
) -> Table

Parameters:

path: Path to the CSV file
delimiter: Field delimiter (auto-detected if None)
quote_char: Quote character for quoted fields
has_header: Whether the first row contains column headers
skip_rows: Number of data rows to skip after the header
n_rows: Maximum number of rows to read (None = all)
usecols: List of column names or indices to read
dtype: Dict mapping column names to types ("string", "int", "float", "bool")
null_values: List of strings to treat as null values
empty_is_null: Whether empty fields are treated as null
encoding: File encoding (currently UTF-8 only)
num_threads: Number of threads for parsing

`detect_dialect(path)`

Detect CSV dialect (delimiter, quoting, line endings).

dialect = vroom_csv.detect_dialect("data.csv")
print(dialect.delimiter)   # ','
print(dialect.quote_char)  # '"'
print(dialect.has_header)  # True
print(dialect.confidence)  # 0.95

Table

The Table class represents parsed CSV data.

Properties:

num_rows: Number of data rows (excluding header)
num_columns: Number of columns
column_names: List of column names

Methods:

column(index_or_name): Get column data as list
row(index): Get row data as list
has_errors(): Check if any parse errors occurred
error_summary(): Get a summary of parse errors
errors(): Get list of parse error messages

Arrow PyCapsule Protocol:

__arrow_c_schema__(): Export schema via Arrow C Data Interface
__arrow_c_stream__(): Export data via Arrow C Stream Interface

Examples

See the examples directory for Jupyter notebooks demonstrating:

Getting Started - Basic usage
Arrow Interoperability - PyArrow, Polars, DuckDB

Benchmarks

Run performance benchmarks against pandas, Polars, PyArrow, and DuckDB:

cd benchmarks
pip install pandas polars pyarrow duckdb
python benchmark_csv.py --sizes 1,10,100

See benchmarks/README.md for details.

License

MIT License - see LICENSE file in the repository root.

Metadata

Release files for vroom-csv 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for vroom-csv 0.1.0
File	Size	Uploaded
vroom_csv-0.1.0.tar.gz	45.6 kB	Jan 12, 2026	Details

Built distributions (wheels)

Table of built distributions (wheels) for vroom-csv 0.1.0
File	Interpreter	ABI	Platform	Reset
vroom_csv-0.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 483.6 kB Jan 12, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.17+ x86-64	Details
vroom_csv-0.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 456.6 kB Jan 12, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.17+ ARM64	Details
vroom_csv-0.1.0-cp312-cp312-macosx_11_0_arm64.whl 267.3 kB Jan 12, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
vroom_csv-0.1.0-cp312-cp312-macosx_10_15_x86_64.whl 299.2 kB Jan 12, 2026	CPython 3.12	CPython 3.12	macOS 10.15+ x86-64	Details
vroom_csv-0.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 484.8 kB Jan 12, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.17+ x86-64	Details
vroom_csv-0.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 457.6 kB Jan 12, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.17+ ARM64	Details
vroom_csv-0.1.0-cp311-cp311-macosx_11_0_arm64.whl 265.9 kB Jan 12, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
vroom_csv-0.1.0-cp311-cp311-macosx_10_15_x86_64.whl 296.0 kB Jan 12, 2026	CPython 3.11	CPython 3.11	macOS 10.15+ x86-64	Details
vroom_csv-0.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 483.3 kB Jan 12, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.17+ x86-64	Details
vroom_csv-0.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 456.2 kB Jan 12, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.17+ ARM64	Details
vroom_csv-0.1.0-cp310-cp310-macosx_11_0_arm64.whl 264.2 kB Jan 12, 2026	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
vroom_csv-0.1.0-cp310-cp310-macosx_10_15_x86_64.whl 294.3 kB Jan 12, 2026	CPython 3.10	CPython 3.10	macOS 10.15+ x86-64	Details
vroom_csv-0.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 483.8 kB Jan 12, 2026	CPython 3.9	CPython 3.9	Linux glibc 2.17+ x86-64	Details
vroom_csv-0.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 456.7 kB Jan 12, 2026	CPython 3.9	CPython 3.9	Linux glibc 2.17+ ARM64	Details
vroom_csv-0.1.0-cp39-cp39-macosx_11_0_arm64.whl 264.4 kB Jan 12, 2026	CPython 3.9	CPython 3.9	macOS 11.0+ ARM64	Details
vroom_csv-0.1.0-cp39-cp39-macosx_10_15_x86_64.whl 294.4 kB Jan 12, 2026	CPython 3.9	CPython 3.9	macOS 10.15+ x86-64	Details

Total release size: 6.1 MB

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Release history Release notifications | RSS feed

This release

0.1.0 This release

Jan 12, 2026 17 release files

vroom-csv 0.1.0

vroom-csv

Features

Installation

Quick Start

Arrow Interoperability

PyArrow

Polars

DuckDB

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read_csv(path, ...)

detect_dialect(path)

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Release files for vroom-csv 0.1.0

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Release files / vroom_csv-0.1.0.tar.gz

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`read_csv(path, ...)`

`detect_dialect(path)`