thalesians.tsvc - Time Series Version Control

A lightweight, efficient version control system specifically designed for time series data.

Overview

thalesians.tsvc provides a specialized solution for versioning time series datasets with a delta-based approach. This Python library offers fine-grained tracking of row-level and column-level changes, complete with automatic audit trails and efficient bidirectional versioning capabilities.

Key features

• Delta-based architecture: Records only the changes between versions rather than complete snapshots.
• Row-level operations: Precisely tracks insertions, updates, and deletions at the individual record level.
• Column-level operations: Precisely tracks addition, renaming, deletion, and reordering of columns.
• Metadata operations: Precisely tracks changes to the time series metadata in the form of key-value pairs.
• Bidirectional versioning: Each change stores its inverse for efficient undo/redo capabilities.
• Flexible persistence: Choice between format-agnostic in-memory storage or on-disk serialization.
• Pythonic design: Clean, intuitive API that follows Python conventions.

Why thalesians.tsvc?

Time series data presents unique versioning challenges that general-purpose VCS tools aren't optimized to handle:

• High-frequency updates to specific portions of data;
• Need for row-level and column-level (rather than file-level) change tracking;
• Performance requirements for large datasets;
• Specialized audit needs for financial and scientific contexts.

thalesians.tsvc addresses these challenges with a purpose-built solution that integrates seamlessly with Python data analysis workflows.

Installation

pip install thalesians.tsvc