adaptive-autocomplete

v1.0.4 safe
3.0
Low Risk

Autocomplete engine built from scratch: pluggable predictors, explainable ranking, offline evaluation, and weight optimisation. Zero required dependencies.

🤖 AI Analysis

Final verdict: SAFE

The adaptive-autocomplete package appears to be safe with no detected network calls, shell executions, or obfuscations. The only concern is a non-HTTPS external link, which slightly increases metadata risk.

  • No network calls or shell executions detected
  • Non-HTTPS external link noted
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on local autocomplete functionality.
  • Shell: No shell execution detected, consistent with a benign package designed for enhancing user experience.
  • Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating no immediate threat of secret or credential theft.
  • Metadata: The presence of a non-HTTPS external link raises some concerns, but no other significant red flags are present.

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation

No obfuscation patterns detected

Shell / Subprocess Execution

No shell execution patterns detected

Credential Harvesting

No credential harvesting patterns detected

Typosquatting

No typosquatting candidates detected

Registered Email Domain

Email domain looks legitimate: gmail.com

Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://127.0.0.1:8420
Git Repository History

Repository bonnie-mcconnell/adaptive-autocomplete appears legitimate

Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Bonnie McConnell" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with adaptive-autocomplete
Build a simple Python application using the adaptive-autocomplete package to demonstrate its core features.