ausdataio

v0.1.0 suspicious
4.0
Medium Risk

Python SDK + CLI for ausdata.io — the unified API for Australian public data (ABS, RBA, ATO, APRA, AIHW, ASIC, AEMO, WGEA, BOM).

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential risk, particularly due to the unavailability of its repository and the newness of the maintainer's PyPI account. However, there are no direct indicators of malicious activity.

  • Repository not found
  • Maintainer has a new PyPI account
Per-check LLM notes
  • Network: The presence of HTTP requests is common for packages that need to fetch data from remote servers, but it's important to verify the legitimacy of the URLs and the necessity of the network calls.
  • Shell: No shell execution patterns were detected, which is expected and indicates no immediate risk of unauthorized command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
  • Metadata: The repository is not found, the maintainer has a new PyPI account and only one version has been released, which raises some suspicion but does not conclusively indicate malicious intent.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://api.ausdata.io/docs
  • Detailed PyPI description (5202 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
  • 88 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)

  • se_url) self._httpx = httpx.AsyncClient( base_url=self._base_url, headers=bu
  • se_url) 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 ausdataio 
Create a Python-based mini-app that serves as a financial dashboard for Australian citizens. This app will aggregate and visualize key economic indicators from various Australian government bodies including the ABS, RBA, ATO, APRA, AIHW, ASIC, AEMO, WGEA, and BOM using the 'ausdataio' package. The application should have the following functionalities:

1. **Data Retrieval**: Implement a feature that allows users to fetch the latest economic data from different sources via the 'ausdataio' package. Users should be able to select specific datasets they're interested in, such as GDP growth rates, inflation rates, employment statistics, etc.
2. **Data Visualization**: Integrate a simple yet effective visualization component into your app where fetched data can be displayed in graphs or charts. Consider using libraries like Matplotlib or Plotly for this purpose.
3. **User Interface**: Design a clean and intuitive user interface where users can interact with the app easily. Use frameworks like Streamlit or Flask to create a web interface if possible.
4. **Customization Options**: Allow users to customize their dashboards by selecting which data sets to display and how frequently they want updates.
5. **Export Functionality**: Enable users to export visualized data as images or PDF files for further analysis or record-keeping.
6. **CLI Support**: Ensure that the app also provides command-line interface (CLI) access through the 'ausdataio' package's built-in CLI capabilities, allowing for easy scripting and automation of data retrieval tasks.

Your task is to outline the steps required to develop this mini-app, detailing how each feature leverages the 'ausdataio' package to its fullest extent. Additionally, provide sample code snippets demonstrating the usage of 'ausdataio' for fetching and processing data.

💬 Discussion Feed

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