Install & Compatibility
Where this runs
tested against v1.9.0 · pip install
no network on importno background threads
Install × environment matrix
Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux
muslpy 3.10–3.95 runs
build_error
glibcpy 3.10–3.95 runs
installs and imports cleanly · install 15.2s · import 0.000s · 413MB
423MB installed
● package 423MB
Code
Verified usage
Verified import paths — ran on the pinned version, not inferred.
API
✓ from vtlengine import API
✗ from vtlengine import Engine
Interpreter
✓ from vtlengine import Interpreter
run
✓ from vtlengine import run
Demonstrates basic VTL script execution using the Engine class with pandas DataFrames.
from vtlengine import Engine
import pandas as pd
from datetime import date
# Sample data
input_ds = pd.DataFrame({
'id1': ['A', 'B'],
'id2': ['X', 'Y'],
'meas1': [10, 20],
'meas2': [5.5, 7.2]
})
# Define VTL script
vtl_script = """
define operator mul(a, b) returns c
tr := a * b / 2
end operator
"""
# Initialize engine
engine = Engine()
# Run VTL script with datasets
result = engine.run(vtl_script, datasets={'input_ds': input_ds})
print(result['output_ds'])
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Version history
1.9.0latest on PyPI · released Jun 17, 2026
Audit
Dependencies
pandasrequiredRequired for DataFrame input/output.