---
id: skyflow
version: "2.1.3"
license: LICENSE
license_treatment: unclear
maintenance: active
---

# skyflow — Skyflow SDK for the Python programming language

License: unclear · Maintenance: active · Downloads: 74.4K/mo

## What it is and what it does

Skyflow is a Python SDK for connecting to Skyflow Vault, a managed service for storing and protecting sensitive data. It provides methods to insert data (with tokenization), detokenize tokens back to plaintext, query records, update and delete data, and invoke external connections. The SDK handles authentication via API keys or bearer tokens, supports multiple vaults, and includes de-identification and re-identification features for PII detection and masking.

The package wraps HTTP calls to Skyflow's REST API using requests and httpx, with request validation through pydantic and cryptographic operations via the cryptography library. It is actively maintained, currently on version 2.1.3 with v1 reaching end-of-life on October 31, 2026. The SDK is designed for backend Python applications that need to offload sensitive data storage and encryption to a third-party vault service.

Use it for:

- Tokenize credit card numbers and PII on insert, storing only tokens in your application database.
- Detokenize stored tokens back to plaintext only when needed, keeping sensitive data in the vault.
- De-identify text documents or files by detecting and masking PII before processing or sharing.
- Query vault records by Skyflow ID or column values with configurable redaction types.
- Manage multi-vault deployments with different credentials and cluster configurations in a single application.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

A Python SDK for securely integrating with Skyflow Vault to tokenize, detokenize, query, and manage sensitive data with built-in encryption and access control.

Yes, if you use Skyflow Vault. The SDK is actively maintained, has no known vulnerabilities, low install friction, and integrates well-established dependencies. The main caveat is the unclear license—verify it aligns with your project before committing. V1 is in maintenance mode, so new projects should use v2.1.3.

## Install

pip install skyflow
uv add skyflow
poetry add skyflow

## Installing skyflow

Before you install: Low install friction with a pure-wheel distribution. Actively maintained with a release 10 days ago and no known vulnerabilities. Depends on well-established libraries (pydantic, requests, cryptography, httpx, PyJWT, typing-extensions, python-dotenv).

License in practice: License treatment is unclear; the package references a LICENSE file but provides no SPDX identifier. Review the repository's LICENSE file before adopting in a commercial or copyleft-sensitive context.

Quickstart:

pip install skyflow

from skyflow import Skyflow, Env

config = {
    'vault_id': '<VAULT_ID>',
    'cluster_id': '<CLUSTER_ID>',
    'env': Env.PROD,
    'credentials': {'api_key': '<API_KEY>'}
}

skyflow_client = Skyflow.builder().add_vault_config(config).build()
result = skyflow_client.insert(request)

Requires Python 3.9 or above. Requires valid Skyflow account credentials and vault configuration (vault_id, cluster_id, API key or bearer token).

Verify before relying:

- Whether the unclear license is proprietary, permissive, or copyleft—check the LICENSE file in the repository.
- Whether multi-vault support and context-aware authorization work as documented for your use case.
- Performance characteristics and rate limits when handling large batches or high-frequency tokenization requests.

## Package facts

- License: LICENSE (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 74.4K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

vault data tokenization, sensitive data encryption sdk, skyflow vault integration, data de-identification, secure data storage python, pii tokenization, vault api client, vault-integration, data-tokenization, pii-protection

[View on SkillFed](https://skillfed.io/packages/skyflow) · [View on PyPI](https://pypi.org/project/skyflow/)