Python SDK Integration

Suspicious login detection for Python

Score logins in Python apps with a lightweight API call.

Install command

pip install loginllama==2.0.0

Why teams choose LoginLlama for Python

Score every login in under 100ms

Detect VPNs, proxies, and TOR exit nodes

Explain why a login is risky with clear risk reasons

Fail open when LoginLlama is unavailable

How it works

Step 1

Install or connect LoginLlama

Choose the SDK or integration point that fits your auth flow and add your API key.

Step 2

Check risk at login time

Send the email, IP, and device context before completing authentication.

Step 3

Act on the risk score

Allow, challenge, or block the login based on risk score and reasons.

Signals we analyze

New device or browser fingerprints

Impossible travel and velocity checks

Bot-like login bursts and credential stuffing

Geo anomalies and risky IP reputation

Works well with your Python stack

DjangoFlaskFastAPICelery workers

Next steps

Add one API call to your login flow and keep fraud out without slowing users down. Use the risk score to block, challenge, or log suspicious attempts in real time.

Python login protection

Protect Python users from suspicious logins

Add LoginLlama in minutes and block risky logins in real time.

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