🤖 AI Analysis

Final verdict: SAFE

The package shows low risk indicators with no shell execution detected and network calls likely for legitimate purposes. The metadata risk is slightly elevated due to the maintainer's limited history, but there's insufficient evidence to suggest malicious intent.

Low network and shell execution risks
Maintainer has only one package, suggesting potential new or less active account

Per-check LLM notes

Network: The observed network call pattern is likely part of legitimate authentication and token refresh functionality.
Shell: No shell execution patterns were detected.
Metadata: The maintainer has only one package, indicating a new or less active account which could be suspicious but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.0/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://docs.airbyte.com/integrations/sources/tplcentral
Brief PyPI description (462 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

17 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

14 unique contributor(s) across 100 commits in airbytehq/airbyte
Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

try: response = requests.post( self.token_refresh_endpoint, auth=HTTPBasic

✓ 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: labanoras.io

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository airbytehq/airbyte appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Labanoras Tech" 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 airbyte-source-tplcentral

Your task is to create a mini-application that acts as a bridge between Tplcentral and various data sinks such as databases, cloud storage, or other analytics tools. This application will utilize the 'airbyte-source-tplcentral' package to extract data from Tplcentral and provide it to a specified sink. Here’s a detailed breakdown of your project requirements:

1. **Project Setup**: Start by setting up a Python environment and installing necessary packages including 'airbyte-source-tplcentral'. Ensure you have Airbyte installed and configured on your system.
2. **Data Extraction**: Use 'airbyte-source-tplcentral' to connect to Tplcentral and extract relevant data. Your application should support authentication and handle API rate limits gracefully.
3. **Data Transformation**: Implement basic data transformation capabilities within your application. This could include filtering, sorting, and formatting data according to user-defined rules.
4. **Sink Configuration**: Allow users to specify a destination where the extracted data should be sent. This could be a SQL database, NoSQL database, cloud storage service, or another analytics tool.
5. **Scheduling and Syncing**: Provide functionality for scheduling data syncs at regular intervals. Users should be able to define the frequency of syncs and receive notifications upon completion.
6. **User Interface**: Develop a simple web interface using Flask or Django where users can configure their data extraction and syncing settings.
7. **Testing and Documentation**: Write comprehensive tests for your application and create documentation that explains how to set up and use the application effectively.

This project aims to streamline the process of extracting valuable insights from Tplcentral by making it easy for users to integrate this data into their existing workflows. Focus on usability and flexibility while ensuring the application is robust and secure.