Xazz

Xazz is an AI pipeline governance tool that compiles scripts into secure preprocessing and deep-learning workflows with built-in audit trails.

Xazz is a Rust-based AI pipeline governance layer that unifies data preparation, deep-learning compilation, and static security guardrails in a single compiled script. It is designed for data scientists and engineers who need to process datasets and train deep-learning models while avoiding runtime type errors and data leaks. The tool uses a domain-specific language to handle tasks ranging from Polars preprocessing to Burn deep-learning training. It features policy gates to block sensitive identifiers or secret literals, a privacy budget ledger for differential privacy, and a SHA-256 audit chain. Supported inputs include CSV files with automatic delimiter and header detection. It runs locally via pre-built binaries or Docker containers and provides an Axum REST API and visual IDE.

Xazz at a glance

Best for: Software engineer
Runs on: Windows, Linux, macOS, Web, API, CLI, self-hosted, open source
Pricing: Free
Released: October 2026
Category: AI coding tool
Website: github.com/x1zzdev/xazz

Key features

Compile-time null and type checking
Static policy gates for security and PII
Differential privacy budget ledger
SHA-256 audit chain generation
Direct-buffer tensor conversion
Polars-based data preprocessing
Burn deep-learning model compilation

Use it for

Preparing fine-tuning data safely
Training deep-learning models with audit trails
Enforcing differential privacy on sensitive queries
Preprocessing tabular datasets with type safety

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