DataProfiler Files

0.14.0 - 2026-09-10

Breaking Changes

• Dropped support for Python 3.9. The minimum supported version is now Python 3.10 (python_requires>=3.10).
• Raised the keras requirement to >3.4.0,<4.0.0 (previously <=3.4.0) and migrated the bundled labeler models from the TensorFlow SavedModel format to the single-file .keras format. Environments pinned to keras<=3.4.0 are no longer supported, and previously saved models must be re-saved.
• Moved the bundled labeler resources from the top-level resources/ directory into the package at dataprofiler/resources/. Code that referenced the old top-level path must be updated; use dataprofiler.labelers.utils.find_resources_dir() to resolve resource paths.

Added

• Added compatibility support for NumPy 2.0 while constraining numpy to >=1.22.0,<3.0.0 to avoid future breakage from NumPy 3.
• Added compatibility support for Keras versions newer than 3.4.0 while constraining keras to >3.4.0,<4.0.0 to avoid future breakage from Keras 4.
• Added Python 3.12 and 3.13 to the test matrix.
• Added find_resources_dir() for resolving packaged resources via importlib.resources.

Changed

• Replaced the deprecated pkg_resources usage with importlib.resources, and switched packaging from data_files to package_data.
• Constrained chardet to <7.0.0 and pandas to <3.0.0 to avoid breakage from upcoming major releases.
• Constrained pyarrow to <24.0.0.
• Simplified the tensorflow requirement to tensorflow>=2.16.0, removing the platform-specific tensorflow-macos marker.
• Updated the pre-commit configuration to align hook versions and hook dependencies with the current project requirements.
• Enabled mypy checking across the dataprofiler package (excluding tests).
• Removed --forked from the tox pytest invocation and raised memray to >=1.18.0.