OpenQVD
Read and write Qlik QVD files from Python.
A clean-room Rust implementation of the QVD binary format, built against the
QVD-Sources corpus — a curated
collection of ~1,100 publicly available .qvd files. No Qlik software required.
Status
Seven stages complete:
- XML header and envelope structure.
- Per-field symbol table encoding.
- Bit-packed row index encoding.
- Validation against the full public corpus via a clean-room Python decoder.
- Rust reader prototype with edge-case tests.
- Writer + semantic round-trip tests.
- Python bindings — PyArrow, Polars, Pandas.
Install
pip install openqvd # core (PyArrow)
pip install openqvd[polars] # + Polars
pip install openqvd[duckdb] # + DuckDB
pip install openqvd[all] # everything
Usage
import openqvd
# Read as a PyArrow Table
table = openqvd.read("data.qvd")
# Project columns at the Rust level
table = openqvd.read("data.qvd", columns=["OrderId", "Amount"])
# Predicate pushdown — filtering happens before Arrow conversion
table = openqvd.read("data.qvd", filters=[
{"column": "Region", "op": "eq", "value": "West"},
{"column": "Status", "op": "is_in", "value": ["Open", "Pending"]},
{"column": "Notes", "op": "is_not_null"},
])
# Inspect metadata only (no row decoding)
info = openqvd.schema("data.qvd")
print(info.table_name, info.num_rows)
print([f.name for f in info.fields])
# Write from a PyArrow Table
openqvd.write(table, "out.qvd")
openqvd.write(table, "out.qvd", table_name="Orders")
All five QVD symbol types are supported: Int, Float, String, DualInt, and DualFloat. NULL values, DATE / TIMESTAMP / TIME number formats, and the LF-terminator header variant are all handled correctly.
Polars integration
Importing openqvd.polars automatically monkey-patches polars with QVD
support (no-op if polars is not installed).
import openqvd.polars # registers pl.read_qvd, pl.scan_qvd, df.qvd.write
import polars as pl
# Eager read — returns a DataFrame
df = pl.read_qvd("data.qvd")
# Lazy scan with projection and predicate pushdown
lf = pl.scan_qvd("data.qvd", columns=["A", "B"])
df = lf.filter(pl.col("A") > 10).collect()
# Filtered eager read
df = pl.read_qvd(
"data.qvd",
filters=[{"column": "A", "op": "eq", "value": "x"}],
)
# Write a DataFrame directly
df.qvd.write("out.qvd")
Pandas integration
Pandas is supported through PyArrow:
df = openqvd.read("data.qvd").to_pandas()
DuckDB integration
import duckdb
import openqvd.duckdb as qdb
con = duckdb.connect()
# Register a QVD file as a SQL view
qdb.register(con, "orders", "orders.qvd")
con.execute("SELECT COUNT(*) FROM orders WHERE Region = 'West'").fetchone()
# Or get a relation directly (no SQL name needed)
rel = qdb.to_relation("orders.qvd", con)
# Write a DuckDB query result to a QVD file
qdb.from_query(
"SELECT id, amount FROM orders WHERE status = 'Open'",
"open_orders.qvd",
con=con,
)
# Relation input also accepted
qdb.from_query(rel, "all_orders.qvd")
DuckDB support is provided through Arrow interop. A native DuckDB table
function (SELECT * FROM read_qvd('file.qvd')) would require a C++ extension
and is out of scope for this package.
Arrow type mapping
| QVD NumberFormat / symbol type | Arrow type |
|---|---|
DATE |
Date32 (Qlik epoch → Unix) |
TIMESTAMP |
Timestamp(Microsecond, None) |
TIME |
Duration(Microsecond) |
| Int / DualInt symbols | Int64 |
| Float / DualFloat symbols | Float64 |
| String symbols | LargeUtf8 |
| Empty symbol table | Null |
CLI
The openqvd binary ships with the Rust crate:
openqvd stat <file> # header summary (fields, widths, rows)
openqvd head <file> [--rows N] # first N rows
openqvd csv <file> # every row as tab-separated text
openqvd json <file> # one JSON object per row
openqvd rewrite <in> <out> # read then re-serialise through the writer
Testing
The reader has been validated against 1,044 of 1,047 valid corpus files
(99.7%). The three failures are deliberately-corrupted test fixtures from
third-party projects (two named damaged.qvd, one with invalid UTF-8).
The writer produces semantically equivalent output (read → write → read) for
1,093 of 1,093 valid corpus files.
License
AGPL-3.0-or-later — see LICENSE.
The specification (SPEC.md) is licensed under
CC BY-SA 4.0.
1 maintainer
Metadata
1 maintainer
Release files for openqvd 1.1.0
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