ausdata-sdk

v0.2.0 safe
4.0
Medium Risk

Python SDK for the Australian public data API. Free tier available at ausdata.io.

🤖 AI Analysis

Final verdict: SAFE

The ausdata-sdk package appears to be legitimate with no direct indicators of malicious activity. While there is some uncertainty due to the maintainer's limited history, the absence of any harmful patterns in network calls, shell execution, obfuscation, and credential handling suggests it is not a supply-chain attack.

  • Low scores across all risk categories except metadata.
  • No suspicious behavior detected.
Per-check LLM notes
  • Network: The observed network calls are likely intended for API interaction, which is normal for an SDK.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
  • Metadata: The package is new and the maintainer has limited history, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 8 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.ausdata.io
  • Detailed PyPI description (4741 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
  • 89 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • ) self._httpx = httpx.AsyncClient( base_url=self._base_url, headers=bu
  • ) self._httpx = httpx.Client( base_url=self._base_url, headers=bu
✓ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Harry Vass" 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 ausdata-sdk 
Create a Python-based mini-application that allows users to explore and visualize various datasets provided by the Australian government through the 'ausdata-sdk' package. Your application should have a user-friendly interface that enables users to search for specific datasets based on keywords, categories, or regions. Once a dataset is selected, the app should display key information such as title, description, source, and date of publication. Additionally, the application should allow users to download the dataset in CSV format for further analysis.

Core Features:
1. Integration with 'ausdata-sdk': Use the 'ausdata-sdk' package to fetch datasets from the Australian public data API. Ensure you authenticate using the free tier available at ausdata.io.
2. Search Functionality: Implement a search bar where users can input keywords to find relevant datasets.
3. Dataset Display: Upon selection, display detailed information about each dataset, including metadata.
4. Data Visualization: Integrate a simple visualization tool (e.g., matplotlib or seaborn) to generate basic graphs like line charts, bar charts, or pie charts based on the selected dataset.
5. Download Option: Provide an option for users to download the selected dataset in CSV format.
6. User Interface: Design a clean and intuitive UI using a Python library such as Streamlit or Flask for web applications.

Step-by-Step Guide:
1. Set up your development environment and install necessary packages including 'ausdata-sdk', Streamlit/Flask, and any visualization libraries you choose.
2. Authenticate with the 'ausdata-sdk' package using your credentials obtained from ausdata.io.
3. Build the main functionality to fetch datasets and display them according to user queries.
4. Add the ability to select a dataset and view its details.
5. Implement the visualization feature allowing users to see graphical representations of the data.
6. Create a button or link that lets users download the dataset.
7. Test your application thoroughly to ensure all features work correctly.
8. Deploy your application if desired, making it accessible online for others to use.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!