What Programming Language Is Graphify Written In? Python Implementation Revealed

Graphify is implemented entirely in Python 3.10+, distributed as a standard Python package via PyPI under the name graphifyy, with all core functionality residing in standard .py source files.

Graphify-Labs/graphify is an open-source knowledge graph generator designed to analyze codebases. When examining what programming language Graphify is written in, the evidence clearly points to a pure Python implementation. The project structure, build configuration, and all source modules follow modern Python packaging conventions without relying on compiled extensions or foreign language bindings.

Build Configuration Proves Python Implementation

The definitive evidence for Graphify's programming language appears in pyproject.toml, which serves as the project's build configuration. According to the source code at lines 5-13 of this file, the project declares a runtime dependency on Python 3.10 or newer and packages the distribution under the name graphifyy (distinct from the importable module name graphify).

This configuration establishes Graphify as a standards-compliant Python package following PEP 517/518 specifications. The pyproject.toml contains no references to compiled languages like Rust, C++, or Go, confirming that Graphify is a pure Python project.

Core Python Source Files

Every functional component of Graphify resides in standard Python files within the graphify/ package directory:

• graphify/__init__.py – Marks the directory as a Python package and handles package-level initialization
• graphify/__main__.py – Provides the entry point for the graphify console script, enabling execution via python -m graphify
• graphify/cli.py – Implements the command-line interface using Python's standard argument parsing libraries
• graphify/build.py – Contains the core Python logic that utilizes tree-sitter to parse source files and construct knowledge graphs
• graphify/serve.py – Implements the MCP (Model Context Protocol) server using Python networking libraries

The presence of __init__.py files and the exclusive use of .py extensions throughout the repository confirm that Graphify contains no embedded compiled code or language bridges.

Installing Graphify in Python Environments

Since Graphify is written in Python, it installs seamlessly using standard Python package managers. Note that the distribution name on PyPI is graphifyy while the importable module remains graphify:

uv tool install graphifyy      # recommended installer

# or: pipx install graphifyy

# or: pip install graphifyy

Programmatic Python API

Graphify exposes its functionality as a native Python library, allowing you to integrate knowledge graph construction into existing Python applications:

from graphify import graphify

# Build a graph for a directory

graph = graphify.build("my_project")

# Query the graph

answer = graph.query("how does the authentication flow work?")
print(answer)

This programmatic interface demonstrates that Graphify is not merely a wrapper around foreign binaries but a Python-native implementation where graphify.build() and graphify.query() are standard Python functions.

Summary

• Graphify is written entirely in Python, with all source files using standard .py extensions.
• Python 3.10 or newer is required, as declared in pyproject.toml lines 5-13.
• Core modules including graphify/cli.py, graphify/build.py, and graphify/serve.py are implemented in pure Python.
• The package distributes via PyPI under the name graphifyy while maintaining the import name graphify.
• Both CLI and library interfaces are available, leveraging Python's standard packaging and module systems.

Frequently Asked Questions

What programming language is Graphify written in?

Graphify is written entirely in Python. The Graphify-Labs/graphify repository contains no compiled languages or foreign function interfaces—only standard Python source code organized into a package structure with pyproject.toml configuration and modules like graphify/build.py implemented in Python.

Why does Graphify require Python 3.10 or newer?

Python 3.10 introduced structural pattern matching and improved type hinting capabilities that Graphify utilizes in its source parsing logic. The requirement is explicitly declared in pyproject.toml to ensure compatibility with modern Python syntax used throughout graphify/build.py and related modules.

Can Graphify analyze codebases written in languages other than Python?

Yes. While Graphify itself is written in Python, it uses tree-sitter (via the graphify/build.py module) to parse source files written in other programming languages. The tool constructs knowledge graphs from multi-language repositories while running on the Python runtime.

Is Graphify available as a Python library, or only as a CLI tool?

Graphify functions as both a CLI tool and a Python library. You can import it directly using from graphify import graphify to access the Python API, or invoke it from the terminal using the command-line interface defined in graphify/cli.py. This dual interface is characteristic of standard Python packages.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}