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Utilities for neuralib

Project description

neuralib-utils

Core utilities and foundational tools for the neuralib ecosystem, providing I/O operations, data manipulation, type definitions, visualization helpers, and common infrastructure for neuroscience research workflows.

Overview

neuralib-utils is the foundational package for neuralib, providing essential utilities that other neuralib packages depend on. It includes:

  • File I/O: Efficient HDF5 lazy loading, JSON/CSV handling, dataset management
  • Type System: Unified type aliases supporting both pandas and polars DataFrames
  • Utilities: Logging, colored output, DataFrame operations, GPU monitoring, profiling
  • Plotting: Publication-quality plotting tools (PSTH, Venn diagrams, colormaps)
  • Dashboard: Bokeh-based web UI framework for interactive data visualization
  • Image Utilities: Array manipulation, labeling, color management, normalization
  • External Tools: Google Sheets and Slack integrations

This package serves as the core dependency for all other neuralib packages (neuralib-atlas, neuralib-imaging, etc.).

Installation

From PyPI

pip install neuralib-utils

With Optional Dependencies

# Dashboard support (Bokeh)
pip install neuralib-utils[dashboard]

# Plotting support (matplotlib, seaborn)
pip install neuralib-utils[plot]

# Optional tools (Google Sheets, Slack, GPU monitoring)
pip install neuralib-utils[opt]

# All features
pip install neuralib-utils[all]

From Source (uv recommended)

git clone https://github.com/ytsimon2004/neuralib2.git
cd neuralib2/packages/neuralib-utils
uv pip install -e .        # Basic installation
uv pip install -e ".[all]" # With all features

Requirements

  • Python 3.11 or 3.12
  • Core dependencies: numpy, scipy, pandas, polars, h5py, rich, tqdm
  • See pyproject.toml for full dependency list

Documentation

Related Packages

neuralib-utils is the foundation for the neuralib ecosystem:

  • neuralib-atlas: Brain atlas tools and hierarchical representations of mouse brain anatomy
  • neuralib-imaging: Cellular imaging and widefield imaging tools
  • neuralib-parser: Data parsers for segmentation, morphology, Suite2p, Scanbox, CZI, StarDist
  • neuralib-metric: Analysis metrics and computational tools

License

BSD 3-Clause License. See LICENSE file for details.

Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Submit a pull request with clear description

For bug reports and feature requests, use the GitHub issue tracker.

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