Offline Dependencies V2: Software Package Dependency Data

Offline DependenciesV2 is a dataset published on Kaggle. Its title suggests it contains information about software dependencies, likely for package management or analysis. The dataset's specific content, scale, and origin require verification after download.

Use Cases

• Analyzing dependency graphs for vulnerability assessment (inferred from domain, verify after download)
• Training models to predict package compatibility (inferred from domain, verify after download)
• Benchmarking package manager performance in offline scenarios (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data science.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Unknown

Time Range

Unknown

Freshness

Last update date is unknown; freshness unverified.

Geography

Unknown