pseudopeople
pseudopeople is a Python package that generates realistic simulated data about a fictional United States population, designed for use in testing entity resolution (record linkage) methods or other data science algorithms at scale.
pseudopeople requires Python 3.11-3.12 to run
You can install pseudopeople from PyPI with pip:
> pip install pseudopeople
or build it from source with
> git clone https://github.com/ihmeuw/pseudopeople.git
> cd pseudopeople
> python setup.py install
Documentation
You can view documentation at https://pseudopeople.readthedocs.io/en/latest/
To receive updates about this software package join the mailing list here.
1 maintainer
Metadata
1 maintainer
Release files for pseudopeople 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pseudopeople-1.3.0.tar.gz | 14.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pseudopeople-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.7 MB
Release files / pseudopeople-1.3.0.tar.gz
| Download URL | pseudopeople-1.3.0.tar.gz |
|---|---|
| Size | 14.1 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / pseudopeople-1.3.0-py3-none-any.whl
| Download URL | pseudopeople-1.3.0-py3-none-any.whl |
|---|---|
| Size | 13.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
565cf8fc1dba51e2593b31a4a3fbdf20a3929fe5f93d93573ec9c684c31bf907
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 13, 2026.
Transparency log
