Synthesized SDK.

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Project description

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

Installation

Dependencies

Below are the minimum dependencies required to run the SDK.

Package	Version
numpy	`???`
pandas	`???`
scipy	`???`
synthesized_insight	`???`
tensorflow_privacy	`???`
tensorflow	`???`

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

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

3.2

Mar 20, 2024

3.1rc3 pre-release

Jan 29, 2024

3.1rc2 pre-release

Jan 28, 2024

3.1rc1 pre-release

Jan 27, 2024

3.0

Nov 23, 2023

This version

3.0b15 pre-release

Oct 16, 2023

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Source Distributions

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Built Distributions

synthesized3-3.0b15-cp310-cp310-win_amd64.whl (2.4 MB view hashes)

Uploaded Oct 16, 2023 CPython 3.10 Windows x86-64

synthesized3-3.0b15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.5 MB view hashes)

Uploaded Oct 16, 2023 CPython 3.10 manylinux: glibc 2.17+ x86-64

synthesized3-3.0b15-cp310-cp310-macosx_11_0_arm64.whl (2.5 MB view hashes)

Uploaded Oct 16, 2023 CPython 3.10 macOS 11.0+ ARM64

synthesized3-3.0b15-cp310-cp310-macosx_10_9_x86_64.whl (2.6 MB view hashes)

Uploaded Oct 16, 2023 CPython 3.10 macOS 10.9+ x86-64

synthesized3-3.0b15-cp39-cp39-win_amd64.whl (2.4 MB view hashes)

Uploaded Oct 16, 2023 CPython 3.9 Windows x86-64

synthesized3-3.0b15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.5 MB view hashes)

Uploaded Oct 16, 2023 CPython 3.9 manylinux: glibc 2.17+ x86-64

synthesized3-3.0b15-cp39-cp39-macosx_11_0_arm64.whl (2.5 MB view hashes)

Uploaded Oct 16, 2023 CPython 3.9 macOS 11.0+ ARM64

synthesized3-3.0b15-cp39-cp39-macosx_10_9_x86_64.whl (2.6 MB view hashes)

Uploaded Oct 16, 2023 CPython 3.9 macOS 10.9+ x86-64

synthesized3-3.0b15-cp38-cp38-win_amd64.whl (2.4 MB view hashes)

Uploaded Oct 16, 2023 CPython 3.8 Windows x86-64

synthesized3-3.0b15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.6 MB view hashes)

Uploaded Oct 16, 2023 CPython 3.8 manylinux: glibc 2.17+ x86-64

synthesized3-3.0b15-cp38-cp38-macosx_11_0_arm64.whl (2.5 MB view hashes)

Uploaded Oct 16, 2023 CPython 3.8 macOS 11.0+ ARM64

synthesized3-3.0b15-cp38-cp38-macosx_10_9_x86_64.whl (2.6 MB view hashes)

Uploaded Oct 16, 2023 CPython 3.8 macOS 10.9+ x86-64

Hashes for synthesized3-3.0b15-cp310-cp310-win_amd64.whl

Hashes for synthesized3-3.0b15-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`5749ce0b6d5704d09257d169a134a8df7db2b801ff6db12cba254cf4ec86fa01`
MD5	`d90b66c864fd09e3d7c5c17a60bcb82b`
BLAKE2b-256	`1277c0ad4bbaff0965366cf53b031b5a5cd5cfb5208c2bc4b0449163aa08b587`

Hashes for synthesized3-3.0b15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for synthesized3-3.0b15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`c65a9ca048f36456cc20ac90b8b92e29097fe4ea358e569573f25d18a9a5010f`
MD5	`9a1d0d81dfaee3d78d34dfbdc944734a`
BLAKE2b-256	`41179e6751140341b43eddea61c9bc47d406eacbc3091080d3b0aa74d6e1e1a1`

Hashes for synthesized3-3.0b15-cp310-cp310-macosx_11_0_arm64.whl

Hashes for synthesized3-3.0b15-cp310-cp310-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`925f70928d762b0c7d26b586c9db363a4dcf5d0edc7124a931ee30f1a31c068a`
MD5	`44217d4218c5f91666af7006cff3e2d0`
BLAKE2b-256	`2f4747e97d308e94a256980446ccbed50ad5b2b31e0f12ff299e273c8e9ee4df`

Hashes for synthesized3-3.0b15-cp310-cp310-macosx_10_9_x86_64.whl

Hashes for synthesized3-3.0b15-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`76562daee110a4713ae1d7ba4f8db167d0834f6cc74f5fed756eb045c596c3dc`
MD5	`589a453a52d4c0316f6bae62eabb7495`
BLAKE2b-256	`b21e4387cdffb556a2806ff5002c54f7e37fee53684270cd5eef17579dbf44f5`

Hashes for synthesized3-3.0b15-cp39-cp39-win_amd64.whl

Hashes for synthesized3-3.0b15-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`7677b8b1531d790018185790281b701785d9b7c1e4e7cf49e3320fa2447c3acd`
MD5	`d26a4831d2287853f9c28371e9c320a8`
BLAKE2b-256	`a337435a0051f820431cf84e3bfd3362751766bc76747681587ac3b808bb78e4`

Hashes for synthesized3-3.0b15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for synthesized3-3.0b15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`4e0b0793c37352944e21e45e53812cfed6c295dfcc0c728f96cbe8742700c443`
MD5	`9deb6aee2361a31af1bc57148e04d97f`
BLAKE2b-256	`8e4914f6684f05673145f152e83373762be2d0cbec7710dc4b0a8f0b9e0a814d`

Hashes for synthesized3-3.0b15-cp39-cp39-macosx_11_0_arm64.whl

Hashes for synthesized3-3.0b15-cp39-cp39-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`b90a255a28c30e1c4420a1489c198cda4cf9b54b19e6c75b6793a0b9e1265d78`
MD5	`11c244053b655bd3ada8355addf1ddd3`
BLAKE2b-256	`d08866c8f70c3ea8495c8692fe0428d869585924e08d1bcbb7aab97f7631fd27`

Hashes for synthesized3-3.0b15-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for synthesized3-3.0b15-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`73b32669b1204290524965f6623b2647363137acb703257457f1f4379fee1b5b`
MD5	`d454b9327fbf775110526aa8efa09ae3`
BLAKE2b-256	`e1771aad91586d9e28a3c445e0ae83c69bdfeb9899ac9bf55ef56d90e7057352`

Hashes for synthesized3-3.0b15-cp38-cp38-win_amd64.whl

Hashes for synthesized3-3.0b15-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`437ada4ca96f2850572af7b386cd76cbd78550057b4ce26703280e68cd15e60c`
MD5	`6b2129c9a9de7a7678987af96c3680ea`
BLAKE2b-256	`287b668268040f3835f1e9f9ca2679417d7aa1601123ff440040ff8f1fe0260b`

Hashes for synthesized3-3.0b15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for synthesized3-3.0b15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`d1d97da984e9008318437444a0b462b3fa6b6be27e037a7d8fd18555be28e439`
MD5	`3fddcb4ff5946924a1922873b76194e1`
BLAKE2b-256	`4444191b2e92a4e478bdf697c43ce14c1b97c912f0e7253c7b110f21a6987236`

Hashes for synthesized3-3.0b15-cp38-cp38-macosx_11_0_arm64.whl

Hashes for synthesized3-3.0b15-cp38-cp38-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`bbc1f232affb2415c77cb43fe1d0f83f17a749aac0e54fb3cac0fc4945f4868e`
MD5	`0beb78c292c3410694cc37e10401f3b0`
BLAKE2b-256	`787a8fbae216f81553d94fbb924f58f207330ac901bbbde87d7a38ebec09ac70`

Hashes for synthesized3-3.0b15-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for synthesized3-3.0b15-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`1818958445cf51c452149de843fe03efbf44cbed17293e573a36ca6d0d261724`
MD5	`3aee77b87ff13629225757a0af416477`
BLAKE2b-256	`74c368433d78979a6883683427dff4ec2b71caebd98c1064e9e36f435a9dcf9e`