Synthesized

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synthesize

Synthesized's Scientific Data Kit (SDK)

The SDK generates high quality, privacy-preserving datasets for machine learning and data science use cases. It's available on PyPi for a free 30-day trial.

Usage

A licence key is required to use the full version of the package. If you don't have one, a free 30-day trial licence key will be provided during the installation. See the comparison table in the documentation for details about the features included in the trial.

Please contact us for more information about obtaining a full licence key.

Installation

It is assumed that you have Python 3.10, 3.11 or 3.12 already installed on a Windows, Linux, or MacOS machine (note that MacOS requires Python 3.11 or later).

Before starting, ensure that pip and wheel are installed and up to date.

pip install -U pip wheel

Synthesized can then be installed directly with pip.

pip install synthesized

Setting the licence key

Once you have installed the package, you'll need a licence key to run the software. The quickest way to check if the SDK is working is by running the command:

synth-validate

The first time this is run you will be asked if you have a licence key. If you do not have one simply select "no" and the prompts will guide you in acquiring one by entering your email address.

asciicast

Once you have set your licence key, the SDK will briefly verify the installation was successful.

With the SDK installed you are now able to get synthesizing! Check out our quick start or user guides for ways that the SDK can be put to use.

Dependencies

Below are the minimum dependencies required to run the SDK.

Package Version
Babel >=2.2.1
cleanco >=2.2
faker >=18.0.0
matplotlib >=3.4, <3.10
numpy >=1.19.2, <2.0
pandas >=2.1.1, <3.0
prompt-toolkit >=3.0
psutil >=5.0
PyYAML >=5.2
rsa >=4.7
rstr >=2.2
scikit_learn >=0.23, <1.4
scipy >=1.5, <1.12
seaborn >=0.11, <0.14
synthesized_insight >=0.5, <0.8
tensorflow >=2.18, <2.22
tf-keras >=2.18, <2.22
typo >=0.1.7
yamale >=4.0.4

The library can use a GPU but it is not required.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for synthesized from gravatar.com synthesized

Credits

Author: Synthesized Ltd.

License

Other/Proprietary License (Copyright 2018 Synthesized LTD)

Requires

Python <3.13, >=3.10

Provides Extra

test dev tune gcloud

Tags

synthetic generative data

Classifiers

Report project as malware

Download files

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Source Distributions

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Built Distributions

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

synthesized-2.29-cp312-cp312-win_amd64.whl (6.8 MB view details)

Uploaded CPython 3.12Windows x86-64

synthesized-2.29-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (51.7 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

synthesized-2.29-cp312-cp312-macosx_11_0_arm64.whl (8.2 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

synthesized-2.29-cp311-cp311-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.11Windows x86-64

synthesized-2.29-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (50.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

synthesized-2.29-cp311-cp311-macosx_11_0_arm64.whl (8.2 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

synthesized-2.29-cp310-cp310-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.10Windows x86-64

synthesized-2.29-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (45.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

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Release history Release notifications | RSS feed

This release

2.29 This release

8 files

Pre-release

2.29rc0

8 files

2.28

5 files

Pre-release

2.28rc0

5 files

2.27

7 files

Pre-release

2.27rc1

7 files

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2.27rc0

7 files

2.26

7 files

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2.26rc0

7 files

2.25

9 files

Pre-release

2.25rc0

9 files

2.24

9 files

2.23

16 files

Pre-release

2.23rc0

16 files

2.22

16 files

2.21

16 files

2.20

16 files

Pre-release

2.20rc1

16 files

Pre-release

2.20rc0

16 files

2.19

16 files

2.18

19 files

Pre-release

2.18rc1

19 files

Pre-release

2.18rc0

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2.17

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2.16

19 files

2.15

19 files

2.14

19 files

2.13

19 files

2.12

16 files

2.11

19 files

2.10

19 files

2.9

19 files

2.8

19 files

Pre-release

2.8rc4

19 files

Pre-release

2.8rc3

17 files

2.7

12 files

2.6

12 files

2.5

15 files

2.4

15 files

2.3

15 files

2.2

9 files

2.1

9 files

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