Exa Analytics Framework¶
An ecosystem for data processing, analytics, and visualization.
This package provides a framework for building packages tailored to specific industry or academic applications. Data objects, such as arrays and matrices are organized into “containers”. Containers provide methods for manipulating, processing, organizing, analyzing, and visualizing their data. The package is built with minimal external dependencies, on top of established open-source software, and uses the Jupyter notebook environment for interactive data exploration.
- Exa
- Executables
- Installation
- API
- Configuration
- Exceptions
- Logging
- Editor
- Trait Supporting Data Objects
- Container
- Widget
- Matplotlib Utilities
- TeX Utilities
- Utilities
- Tester
- Basic Tests
- Relational
- Database Engine Configuration
- Project Table
- Job Table
- File Tables
- Table of Isotopes
- Physical Constants
- Unit Conversions
- Tests for
isotope
- Tests for
constant
- Tests for
unit
- Distributed
- Workflow
- Math
- Tests for Math Modules
- Cartesian Vector Operations
- Tests for
cartesian
- Repeat
- Summations
- Tests for
summation
- Filetypes
- Generic CSV Support
- Frontend Container
- Applications
- Third Party Library Support
- Misc.