Observed since 21 Oct, 11:30 UTC
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A lightweight Python library for anonymizing and pseudonymizing tabular data.
Aindo Anonymize is a lightweight Python library that provides various pseudonymization techniques for anonymizing tabular data.
pip install aindo-anonymize
Initialize the desired anonymization technique class, set its options, and apply the anonymize method to your data.
import pandas as pd
from aindo.anonymize.techniques import CharacterMasking
col = pd.Series(["John", "Mark", "Lucy", "Alice"])
masking = CharacterMasking(starting_direction="right", mask_length=2)
masking.anonymize_column(col)
# 0 Jo**
# 1 Ma**
# 2 Lu**
# 3 Ali**
# dtype: object
Check the documentation for more details.
For instructions on setting up a development environment and how to make a contribution, refer to Contributing to Aindo Anonymize.
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 1.1.5 | 29 Jul 2026 | 13 |
This describes our collected data; it is not a security assessment.
Observed since 21 Oct, 11:30 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:1458862736afb1016926d61a15803b3d3a79f6bb960f2f6152df3703f5fff3ac