ScubaTrace
ScubaTrace: Source-level code analysis toolkit for SAST, context engineering, and AI coding.
ScubaTrace is a code analysis toolkit that leverages tree-sitter, Joern and LSP (Language Server Protocol) to provide parsing, analysis, and context extraction capabilities for multiple programming languages.
Unlike most traditional static analysis tools that rely on compilation to extract Intermediate Representation (IR) for code analysis, ScubaTrace delivers analysis capabilities even when code repositories are incomplete or unable to compile. This resilience makes it particularly valuable for scenarios where traditional analysis approaches would fail, enabling developers and security researchers to gain insights from code that might otherwise be inaccessible to conventional static analysis methodologies.
Rather than being an end-to-end program analysis framework, ScubaTrace serves as a foundational toolkit that empowers developers to build solutions for IDE development, AI-powered coding tools, and SAST (Static Application Security Testing).
Features
- Multi-Language Support
- No Need To Compile
- Statement-Based AST Abstraction
- Call Graph
- Control Flow Graph
- Data/Control Dependency Graph
- References Inference
- CPG Based Multi-Granularity Slicing
- Built on Tree-sitter and LSP
Install
pip install scubatrace
Supported Languages
ScubaTrace supports multiple programming languages, including:
| Language | Language Server | Tree-sitter Parser | Maturity |
|---|---|---|---|
| C/C++ | clangd | tree-sitter-cpp | High |
| Java | Eclipse JDT LS | tree-sitter-java | High |
| Python | Pyright | tree-sitter-python | High |
| JavaScript | typescript-language-server | tree-sitter-javascript | Medium |
| Go | gopls | tree-sitter-go | Medium |
| Rust | Rust Analyzer | tree-sitter-rust | Medium |
| Ruby | Solargraph | tree-sitter-ruby | Low |
| Swift | SourceKit-LSP | tree-sitter-swift | Low |
| C# | OmniSharp | tree-sitter-c-sharp | Low |
| PHP | phpactor | tree-sitter-php | Low |
Usage
Initialize a ScubaTrace Project
import scubatrace
# Initialize a ScubaTrace Project
# language can be set to one of the following:
# scubatrace.language.[C, JAVA, PYTHON, JAVASCRIPT, GO, RUST, RUBY, PHP, CSHARP, SWIFT]
project = scubatrace.Project.create("path/to/your/codebase", language=scubatrace.language.C)
Retrieve Code Entities
# Get a file from the project
file = project.files["relative/path/to/your/file.c"]
# Get a function from the file
function = file.functions[0]
print(f"Function Name: {function.name}")
print(f"Source Code: {function.text}")
# Get the function's callers and print their names and callsites
callers = function.callers
for caller, callsites in callers.items():
print(f"Caller: {caller.name}")
for callsite in callsites:
print(f" Callsite: {callsite.text}")
# Get the first statement in file line
statement = file.statements_by_line(10)[0]
# Get the first variable in statement
variable = statement.variables[0]
print(f"Variable: {variable.name}")
# Get tree-sitter node in a file/function/statement
file_node = file.node
function_node = function.node
statement_node = statement.node
Perform Analysis
# Find the pre/post statements in control flow
pre_statements_in_control_flow = statement.pre_controls
post_statements_in_control_flow = statement.post_controls
# Find the pre/post data dependencies of a variable
pre_data_dependencies = variable.pre_data_dependents
post_data_dependencies = variable.post_data_dependents
# Find the definitions/references of a variable
definitions = variable.definitions
references = variable.references
# Perform slicing in a function based on specified lines
# Configure the slicing with control depth and data-dependent depth
criteria_lines = [10, 12, 18]
sliced_statements = function.slice_by_lines(
lines=criteria_lines, control_depth=5, data_dependent_depth=8
)
ScubaTrace with Joern
# Initialize a ScubaTrace Project with Joern
project = scubatrace.Project.create(
"path/to/your/codebase",
language=scubatrace.language.C,
joern_config=scubatrace.JoernConfig(
enable_joern=True,
),
)
For more detailed information, refer to the Documentation.
Metadata
Release files for scubatrace 1.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scubatrace-1.1.3.tar.gz | 69.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scubatrace-1.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 158.5 kB
Release files / scubatrace-1.1.3.tar.gz
| Download URL | scubatrace-1.1.3.tar.gz |
|---|---|
| Size | 69.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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Transparency logRelease files / scubatrace-1.1.3-py3-none-any.whl
| Download URL | scubatrace-1.1.3-py3-none-any.whl |
|---|---|
| Size | 89.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
57442e5e2ec3c390f993468f8f6028bb1dd59a79c9240b19d8054d1b6209f4f9
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 7, 2026.
Transparency log