steampipe-plugin-github and steampipe-plugin-gcp

These are **complementary plugins** for Steampipe, allowing users to query distinct data sources (GitHub and GCP, respectively) using the same SQL interface, effectively extending Steampipe's capabilities to different platforms.

steampipe-plugin-github
59
Established
steampipe-plugin-gcp
57
Established
Maintenance 13/25
Adoption 9/25
Maturity 16/25
Community 21/25
Maintenance 13/25
Adoption 8/25
Maturity 16/25
Community 20/25
Stars: 87
Forks: 38
Downloads:
Commits (30d): 0
Language: Go
License: Apache-2.0
Stars: 45
Forks: 28
Downloads:
Commits (30d): 0
Language: Go
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About steampipe-plugin-github

turbot/steampipe-plugin-github

Use SQL to instantly query repositories, users, gists and more from GitHub. Open source CLI. No DB required.

This tool helps developers, project managers, and open-source enthusiasts analyze GitHub data using standard SQL queries. You input a GitHub account token, and the tool allows you to query repositories, users, and gists as if they were tables in a database. The output is structured data that can be used for reporting, analysis, or integration with other tools.

developer-operations open-source-management project-analysis github-analytics

About steampipe-plugin-gcp

turbot/steampipe-plugin-gcp

Use SQL to instantly query GCP resources across regions, projects and organizations. Open source CLI. No DB required.

This tool helps you analyze your Google Cloud Platform (GCP) infrastructure, like servers, networks, and databases, using standard SQL queries. You provide your GCP account information, and it lets you run SQL queries to retrieve detailed data about your resources across different regions, projects, and organizations. Cloud administrators, DevOps engineers, and security auditors can use this to gain insights into their GCP environment.

cloud-management GCP-administration cloud-security-auditing DevOps-operations infrastructure-monitoring

Scores updated daily from GitHub, PyPI, and npm data. How scores work