Skip to main content

Python package: genesynth

Project description

[![Python packages](https://github.com/sterling312/genesynth/actions/workflows/github-actions-unittests.yaml/badge.svg)](https://github.com/sterling312/genesynth/actions/workflows/github-actions-unittests.yaml)

# genesynth This library is used to synthetically generate structured data based on configuration to be used for testing as well as structured data training purposes. The approach of the library is to leverage as much as C-level python packages such as numpy and scipy to generate data at field level, one type at a time, and use graph approach to piece together the complex dependency as well as de-normalization/sampling from each fields to construct data in a scalable manner fast.

# install ` pip install genesynth `

# example ` $ python -m genesynth.server --host=0.0.0.0 -p 8080 ` ` $ make run `

` $ python -m genesynth.cli -f tests/test.yaml --stdout ` ` $ make cli FILENAME=$(pwd)/tests/test.yaml `

# project status

## supported feature * load yaml as configuration file * arbitrary row size support * data type mapping with configurable parameters * JSON (semi-structured data) support * improved data type support * foreign relationship support * DOT file graph * table graph * built-in orchestrator using graph * thread and process support * intermediary data temporary cache * graph visualization * GenAI based field-level data generation (ollama & openai)

## key features to add * add yaml validator * fix header support * additional output file formats (JSON, PSQL dump, CSV with quotes, etc) * add support for JSON arrays * improve constraint support * add support for quoted string * add support statistical distribution via kernel convolution * optimize orchestration and disk cache efficiency * optimize thread/process based generation * convert serial to autoincrement constraint for integer type * convert password to constraint of string type

## nice to have features to add * support external scheduler * support NLP based text generation * support sklearn * support integration with pytorch embedding * support for object reference via $ref * fix compatibility with [JSON schema array notation](https://json-schema.org/understanding-json-schema/reference/array.html#items) * fix when json array child object appears as separate items

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

genesynth-0.5.6.tar.gz (22.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

genesynth-0.5.6-py3-none-any.whl (29.1 kB view details)

Uploaded Python 3

File details

Details for the file genesynth-0.5.6.tar.gz.

File metadata

  • Download URL: genesynth-0.5.6.tar.gz
  • Upload date:
  • Size: 22.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for genesynth-0.5.6.tar.gz
Algorithm Hash digest
SHA256 9cfa3dc37b2496de919cc7c93c7842883e3825e1df7ca7b3752bcc7855362d5f
MD5 ae4295cf31a56accf1dcc57b8048e754
BLAKE2b-256 ef2fd101e5d79483ec8e819e0d5365973fd4b5b834804fb5b3026f45dc7b82ce

See more details on using hashes here.

File details

Details for the file genesynth-0.5.6-py3-none-any.whl.

File metadata

  • Download URL: genesynth-0.5.6-py3-none-any.whl
  • Upload date:
  • Size: 29.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for genesynth-0.5.6-py3-none-any.whl
Algorithm Hash digest
SHA256 bbd1a11233b32b1894cade967bed6a2d4d09180f8bdbdf9c1e475ebcd0c6b64a
MD5 962c34f288976fffdbab8806201facfa
BLAKE2b-256 a67cf715acae58f4f6266790b7b82807d51fc05b2e3350a23ec94329c1e93a21

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page