Sift
Python bindings for Sift Science's API
Decision gist · record as of 2026-08-14
Yes, if you use Sift Science for fraud detection. The library is stable and supports current Python versions, but high install friction and aging maintenance (466 days since last release) suggest checking whether Sift has released a newer version or recommends an alternative client before adopting. No known vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid Sift Science API key and account ID to authenticate requests.
- High install friction with no runtime dependencies.
- Last release was 466 days ago; repository is not archived but shows aging maintenance.
License · maintenance · safety
permissive license (permissive) — MIT License (permissive). You may use, modify, and distribute this package freely in commercial or private projects, provided you retain the original copyright notice and license text.
last release 2025-05-05 (466 days) · last repo commit 2025-05-13 · 20 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 295,262 downloads/mo, #7,928 on PyPI
Alternatives
Verify before relying
pip install Sift
import sift
client = sift.Client(api_key='your_key', account_id='your_account')
response = client.track('$transaction', {'$user_id': '23056', '$amount': 15230000})
if response.is_ok():
print('Event tracked')- Whether the high install friction relates to compiled extensions, network checks during installation, or other build-time requirements not evident from the package metadata.
What it is and what it does
Sift is a Python client for Sift Science's fraud detection platform. It wraps the Events, Labels, Score, and Decisions APIs, allowing you to send transaction and user activity events to Sift for real-time risk assessment, retrieve fraud scores and percentiles, label users as fraudulent or legitimate, and manage verification workflows including OTP generation and validation.
The library is designed for integration into payment, marketplace, and authentication systems where you need to detect and prevent fraud. It handles API communication, response parsing, and error handling through a simple client interface. No external runtime dependencies are required beyond Python itself.
Use it for
- Track e-commerce transactions and user events to Sift for real-time fraud scoring and abuse detection.
- Retrieve risk scores for users or orders to make accept/reject decisions in payment flows.
- Label users as fraudulent or legitimate based on manual review or chargeback events.
- Implement OTP-based verification workflows for high-risk login or transaction events.
- Query workflow execution status and latest decisions for users, orders, sessions, or content.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use Sift Science for fraud detection.
The library is stable and supports current Python versions, but high install friction and aging maintenance (466 days since last release) suggest checking whether Sift has released a newer version or recommends an alternative client before adopting. No known vulnerabilities.
Install
sift on PyPI
Before you install
High install friction with no runtime dependencies. Last release was 466 days ago; repository is not archived but shows aging maintenance. Supports Python 3.8 through 3.13 and is marked Production/Stable.
Requires a valid Sift Science API key and account ID to authenticate requests.
License in practice
MIT License (permissive). You may use, modify, and distribute this package freely in commercial or private projects, provided you retain the original copyright notice and license text.
Quickstart
pip install Sift
import sift
client = sift.Client(api_key='your_key', account_id='your_account')
response = client.track('$transaction', {'$user_id': '23056', '$amount': 15230000})
if response.is_ok():
print('Event tracked')Verify before relying
- Whether the high install friction relates to compiled extensions, network checks during installation, or other build-time requirements not evident from the package metadata.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Aging 466 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 295,262 / month, #7,928 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: Sift-6.0.0.tar.gz
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