skyflow
Skyflow SDK for the Python programming language
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or above.
- Requires valid Skyflow account credentials and vault configuration (vault_id, cluster_id, API key or bearer token).
- Low install friction with a pure-wheel distribution.
License · maintenance · safety
LICENSE (unclear) — 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.
last release 2026-08-04 (10 days) · last repo commit 2026-08-09 · 20 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 74,434 downloads/mo, #14,832 on PyPI
Alternatives
Verify before relying
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)- 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.
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 on this page. Verify before relying on it.
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
skyflow on PyPI
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).
Requires Python 3.9 or above. Requires valid Skyflow account credentials and vault configuration (vault_id, cluster_id, API key or bearer token).
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)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 the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagespydantictyping-extensionsPyJWTrequestscryptographyhttpxpython-dotenv |
| Maintenance | Actively maintained 10 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 74,434 / month, #14,832 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: skyflow-2.1.3-py3-none-any.whl
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