apache-airflow-providers-apprise

v2.3.3 safe
2.0
Low Risk

Provider package apache-airflow-providers-apprise for Apache Airflow

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all evaluated categories, with only a moderate obfuscation risk that is likely benign.

  • No network or shell risks detected.
  • Moderate obfuscation risk but likely standard practice.
Per-check LLM notes
  • Network: No network calls detected, which is normal for a library that does not require external communication.
  • Shell: No shell execution patterns detected, indicating no risk of command injection or similar attacks.
  • Obfuscation: The observed pattern is likely a standard technique for extending package paths and not indicative of malicious activity.
  • Credentials: No patterns indicative of credential harvesting were detected.

📦 Package Quality Overall: Medium (7.8/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

  • Test runner config found: conftest.py
  • 7 test file(s) detected (e.g. conftest.py)
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "Documentation" -> https://airflow.apache.org/docs/apache-airflow-providers-app
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3495 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

  • Type checker (mypy / pyright / pytype) referenced in project
  • 6 type-annotated function signatures (partial)
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 46 unique contributor(s) across 100 commits in apache/airflow
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • under the License. __path__ = __import__("pkgutil").extend_path(__path__, __name__) # Licensed to the Apache S
✓ 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: airflow.apache.org>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
✓ Git Repository History

Repository apache/airflow appears legitimate

⚠ 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 apache-airflow-providers-apprise 
Create a notification system using Apache Airflow and the 'apache-airflow-providers-apprise' package. This system will monitor the status of various tasks in a workflow and send notifications via email, SMS, or other supported channels when specific events occur, such as task completion, failure, or any custom-defined conditions.

The application should include the following components:
1. A DAG (Directed Acyclic Graph) that defines the workflow tasks.
2. A monitoring mechanism within the DAG that checks the status of each task.
3. Integration with the Apprise library through the 'apache-airflow-providers-apprise' package to handle notifications.
4. Configuration options for different notification methods (email, SMS, pushbullet, etc.) and their respective credentials.
5. Customizable triggers for sending notifications based on task statuses or user-defined conditions.
6. Logging capabilities to keep track of all sent notifications and their outcomes.

Steps to implement the project:
1. Set up an Apache Airflow environment with the necessary dependencies installed.
2. Define the tasks and workflows in your DAGs, ensuring they are structured for monitoring.
3. Use the 'apache-airflow-providers-apprise' package to set up notification handlers for different channels.
4. Implement logic within your DAGs to trigger notifications based on task outcomes or custom conditions.
5. Configure the application to store and manage credentials securely for different notification services.
6. Test the system thoroughly to ensure notifications are sent correctly under various scenarios.
7. Document the setup process, configuration options, and usage guidelines for the application.

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