Track Every Row. Trust Every Transformation. 

With increasing AI risk, regulatory scrutiny, and fragmented data pipelines, knowing exactly what changed, when, and why is no longer optional. The Walacor Data Tracker is a powerful open-source CLI and Python toolkit that delivers record-level data lineage with cryptographic integrity. If you’re responsible for trust, compliance, or reproducibility in data workflows, this is the tool you’ve been missing. 

Record-Level Lineage: A Game-Changer for Data Transparency 

Walacor Data Tracker sets a new benchmark by automatically capturing data lineage at the column and row level. Whether you’re manipulating pandas DataFrames or building out ML pipelines, every transformation is logged and hashed—without changing your codebase. That means you get: 

• Column-Level Tracking: Detect and describe transformations like renaming, creating, or modifying features. Each operation includes function name, parameters, and even the source code version. 

• Row-Level Tracking: Capture actions like filtering, sampling, and deduplication, along with the precise rows affected, trigger source, and timestamp. 

• Cryptographic Provenance: Every operation is hashed and bound to an immutable audit trail—so you can prove what happened, not just guess. 

This is especially critical for leaders in data governance, AI/ML risk management, and compliance teams who need answers without delay when regulators or executives ask, “How did we get this result?” 

Why It’s Different: Not Just Lineage—Verifiable Lineage 

At the core of Walacor Data Tracker is a directed acyclic graph (DAG) structure that encodes the full lineage of every transformation. Each node in the DAG represents a data state or operation, and edges define the dependency chain, allowing for precise reconstruction of how data elements evolved over time.

Traditional lineage systems rely on log files or central metadata services. These are mutable, often incomplete, and fail under audit. 

What powers the Walacor Data Tracker is its integration with Walacor’s blockchain-enhanced database platform. A private, append-only ledger runs under the hood, cryptographically sealing every transformation into a verifiable history: 

• Immutability: Once recorded, transformations can’t be silently changed. 

• Historical Reconstruction: You can trace any data point back through its entire chain of derivations. 

• Compliance Confidence: Whether it’s GDPR, HIPAA, SOC2, or internal policy—audits just got easier. 

This makes the tool ideal for sectors where data decisions carry weight: finance, healthcare, defense, pharmaceuticals, and regulated AI. 

Not Just for Data Scientists 

If you’re an engineering lead, data platform director, or chief AI officer, you already know that logs and dashboards alone don’t deliver trust. With Walacor Data Tracker: 

• You gain tamper-evident visibility into how your teams manipulate data 

• You create a defensible posture for regulators and risk committees 

• You establish foundational provenance for high-stakes model development and deployment 

This isn’t about shifting left or adding another step. It’s about embedding accountability directly into the transformation layer. 

Contribute: Join the Open Source Effort 

Walacor Data Tracker is open source and actively seeking contributors. The current release includes a robust PandasAdapter for DataFrame tracking, but that’s just the start. We’re looking to add: 

• Adapters for libraries like NumPy, scikit-learn, PyTorch, and TensorFlow 

• Enhanced lineage visualization tools 

• Integration with ML pipeline orchestrators (Dagster, Kubeflow, MLflow) 

• Forensic or compliance policy modules 
  

Get started now on GitHub and help build the future of verifiable data. 

Try It Today 

With Walacor Data Tracker, record-level lineage isn’t just a feature—it’s a foundation for trust, transparency, and reproducibility in modern analytics and AI. Whether you’re building models, reporting results, or ensuring data integrity at scale, this tool helps you prove every transformation. 

Try it now on GitHub → https://github.com/walacor/walacor-data-tracker