dtypeflow
dtypeflow is a terminal UI to convert a CSV file to Parquet.
Point it at a CSV file, and for each column it infers the tightest-fitting
dtype (Boolean, unsigned/signed integers UInt8…UInt64/Int8…Int64,
floats Float16/Float32/Float64, String, or Dictionary), shows the
observed statistics, and lets you review or override the choice before
writing the result to Parquet — all locally, no data leaves your machine.
Installation
uv tool install dtypeflow
Or with pipx:
pipx install dtypeflow
Or with pip:
pip install dtypeflow
Usage
dtypeflow
The workflow has three steps:
- Pick a file — enter or browse for a CSV path and choose the delimiter (Comma by default; Auto detects it from the first 64 KiB).
- Configure types — for each column, review the recommended dtype, its stats (unique values, samples, range/precision/scale), and pick from compatible alternatives grouped by safety (Safe / Too small / Discouraged).
- Export — write the configured dataset to a Parquet file.
Screenshots
Alternatives for a column are grouped by how safe they are to apply:
| Safe | Too small | Discouraged |
 |
 |
 |
Development
This project uses uv for dependency management.
uv sync
uv run dtypeflow
Lint:
uv run --with ruff ruff check src/
License
1 maintainer
Metadata
1 maintainer
Release files for dtypeflow 1.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| dtypeflow-1.2.0.tar.gz | 24.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dtypeflow-1.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 60.1 kB
Release files / dtypeflow-1.2.0.tar.gz
| Download URL | dtypeflow-1.2.0.tar.gz |
|---|---|
| Size | 24.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
Release files / dtypeflow-1.2.0-py3-none-any.whl
| Download URL | dtypeflow-1.2.0-py3-none-any.whl |
|---|---|
| Size | 35.8 kB |
| Tags | Python 3 |
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Security for dtypeflow 1.2.0
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