amazon-polly-streaming

v1.1.0 safe
2.0
Low Risk

Amazon Polly bidirectional streaming over HTTP/2 with SigV4 (the API boto3 does not yet expose)

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of risk, with no indications of malicious activity or improper handling of credentials.

  • Low network risk as expected for AWS interaction
  • No shell, obfuscation, or credential risks detected
Per-check LLM notes
  • Network: Expected if the package interacts with Amazon Polly service.
  • Shell: Unlikely to be present unless package has unexpected administrative functions.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets.

📦 Package Quality Overall: Medium (6.4/10)

✦ High Test Suite 9.0

Test suite present — 8 test file(s) found

  • Test runner config found: pyproject.toml
  • 8 test file(s) detected (e.g. test_buffered_stream.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://amazon-polly-streaming.readthedocs.io/en/latest/
  • Detailed PyPI description (2389 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
  • 76 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 26 commits in bilardi/amazon-polly-streaming
  • Single author but highly active (26 commits)

🔬 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

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 amazon-polly-streaming 
Create a real-time voice translator application using the 'amazon-polly-streaming' Python package. This application will take live audio input from a microphone, translate it into another language using AWS Translate, and then use Amazon Polly to convert the translated text back into speech, outputting the synthesized voice through speakers. The app should support multiple languages and allow users to select their preferred source and target languages.

Steps:
1. Set up your development environment with Python and install necessary packages including 'amazon-polly-streaming', 'boto3' for AWS services, and 'pyaudio' for handling audio input/output.
2. Initialize the Amazon Polly streaming client using 'amazon-polly-streaming'. Configure it with appropriate credentials and settings to enable bidirectional streaming over HTTP/2.
3. Implement a function to capture live audio input from a microphone using PyAudio. Ensure that the input is processed in chunks suitable for translation.
4. Use AWS Translate to translate the captured text into the desired language. Integrate error handling to manage potential issues like network delays or service unavailability.
5. Pass the translated text to Amazon Polly for conversion into speech. Utilize the streaming capabilities of 'amazon-polly-streaming' to ensure smooth and uninterrupted audio output.
6. Output the synthesized speech in real-time to the speakers. Consider implementing volume control and other audio settings for user comfort.
7. Add a simple GUI or command-line interface where users can choose source and target languages and start/stop the translation process.
8. Enhance the application by adding features such as automatic language detection, voice style customization, and support for more languages.
9. Test the application thoroughly under various conditions to ensure reliability and performance.
10. Document the setup process, code structure, and usage instructions for future reference and maintenance.