DEVOPSdigest

DeepSource released Globstar, an open-source project bringing code security tooling to the AppSec community, with no restrictions on commercial usage.

Globstar is a static code analysis toolkit that enables users to write code security checkers and run them in their CI/CD pipelines. It is fully open source using the MIT license.

DeepSource's mission is to help developers and companies write secure code using static analysis and AI, identifying vulnerabilities in code and suggesting fixes. However, the company also believes that core components of code security should be freely available to all developers and security teams.

"After analyzing millions of lines of code daily at DeepSource, we kept hearing a common request from many enterprise customers: '˜How do we write custom checks specific to our codebase?'" says Sanket Saurav, co-founder and CEO of DeepSource. "We used tree-sitter to write new checkers internally for our proprietary analyzers, and it played an important role in us rapidly responding to customer requests for new checkers. With Globstar, we realized we can put the same capability in our customers' hands, which is why we decided to make it open-source."

DeepSource's existing clients can use Globstar to codify custom security patterns — but the entire Globstar project is and will remain open to all.

"The AppSec community doesn't want a rebrand of legacy software. They want a fresh alternative," says Jai Pradeesh, co-founder of DeepSource. "What developers need is an expert-led, open-source solution to code security that is reliable in the long term and future-proof."

Key features of Globstar are:

- Written using the high-level general-purpose programming language Go, with native tree-sitter bindings, distributed as a single binary.

- MIT-licensed

- Users can run Globstar without needing to build anything, by writing all their checkers in a "globstar" folder in their repo, in YAML or Go, and running "globstar check"

- Multi-language support through tree-sitter (20+ languages today)

- Gradual learning curve: coders can start with the YAML interface for simple patterns