pseudopeople 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.
Project description
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 3.10-3.11 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file pseudopeople-1.2.0.tar.gz
.
File metadata
- Download URL: pseudopeople-1.2.0.tar.gz
- Upload date:
- Size: 14.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 642db49098b06162e281580cce35d68ca7fdd19288bbdf910307465dd605481e |
|
MD5 | 422c6fa9afcc5a3d8e183583c47ccc45 |
|
BLAKE2b-256 | 4b4cbf2a834903aa70165e5e863dc4167780899b5e54b442179ba80797295a0b |
Provenance
The following attestation bundles were made for pseudopeople-1.2.0.tar.gz
:
Publisher:
deploy.yml
on ihmeuw/pseudopeople
-
Statement type:
https://in-toto.io/Statement/v1
- Predicate type:
https://docs.pypi.org/attestations/publish/v1
- Subject name:
pseudopeople-1.2.0.tar.gz
- Subject digest:
642db49098b06162e281580cce35d68ca7fdd19288bbdf910307465dd605481e
- Sigstore transparency entry: 148949374
- Sigstore integration time:
- Predicate type:
File details
Details for the file pseudopeople-1.2.0-py3-none-any.whl
.
File metadata
- Download URL: pseudopeople-1.2.0-py3-none-any.whl
- Upload date:
- Size: 13.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 064e3ead2b80e085a8fa32d6ec907a525d99f75c6fb785d985f6e0f5fc06211a |
|
MD5 | 29aad35b20dd7d6a2626b365e6cd7ae2 |
|
BLAKE2b-256 | 8da436f95adde8d23b2708611070e2e5af0eb29f02a172c290d26afc5b254478 |
Provenance
The following attestation bundles were made for pseudopeople-1.2.0-py3-none-any.whl
:
Publisher:
deploy.yml
on ihmeuw/pseudopeople
-
Statement type:
https://in-toto.io/Statement/v1
- Predicate type:
https://docs.pypi.org/attestations/publish/v1
- Subject name:
pseudopeople-1.2.0-py3-none-any.whl
- Subject digest:
064e3ead2b80e085a8fa32d6ec907a525d99f75c6fb785d985f6e0f5fc06211a
- Sigstore transparency entry: 148949375
- Sigstore integration time:
- Predicate type: