General goals
- Uniformization across tools
- Allowing features needed by the fields (from trk, tck or new one)
- Conceptually simpler (Simplicity)
- Less memory AND hard drive hungry
- General robustness
- Load/save efficiency/speed
- Independence/standalone
- Extensibility
What is 'supported' by the memmap implementation?
- Agreement on the coordinates system (RASMM) [x]
- Random-access support with minimal upfront IO [x]
- Support data streaming and on-the-fly saving [x]
- Minimalistic header [x]
- Ability to store (sparse) groups [x]
- Ability to store None, one or more additional metadata [x]
- Self-explanatory [x]
- Self-coherent / strict checks [-] (depends on the implementation)
- Compression [-] (only zip_deflate)
- GPU compatibility [-] (Array+offsets are compatible 'enough' with VTK/OpenGL)
- “Easy” to implement with basic libraries (in C++, python, matlab, etc.) [x]
- Parallel-friendly for saving (per process on-the-fly saving) [ ] (Not investigated, likely depends on implementation)
(Initial thread: nipy/nibabel#942)
General goals
What is 'supported' by the memmap implementation?
(Initial thread: nipy/nibabel#942)