MTPy

Overview

A modular, extensible, and modifiable python based tool for Meltpool Tomography. The aim of this tool is to create a core library of PBF tools that can be applied in the many areas of our research on the topic.

Current Features

  • Streaming of larger-than-RAM datasets from HDD for:
    • analysis
    • plotting
    • Data mining
  • No need for binning or other data reduction methods
  • Distributed computing, allowing for analysis to take place on compute clusters and larger distributed systems
  • Extensive type hinting and structurally subtyped composition. This design ensures that:
    • New modules can easily be added
    • Documentation can be automatically generated
    • Users will get LSP tooltips to help them develop quickly
    • Static analysis can be used to catch errors quickly
    • Modules can easily and seamlessly be implemented in more performant, statically typed languages (e.g: the read_aconity_layers submodule here, written in rust)
  • Detailed, togglable user feedback and debug logs, allowing for quick diagnosis of problems when they occur
  • Test coverage for core, IO interfaces (as they are most likely parts to error) with plans to expand coverage in the future

Planned Features

  • A CLI to avoid the need for scripting when doing common analyses
  • A new GUI to allow non-programming researchers to use the tool (previous GUI Melter was a good demonstrator but isn't really fit for our current purposes)
  • Reimplementation of the previouslt removed interactive 3d plot feature
  • GPU support to further accelerate analysis of extremely large datasets
  • Better sample detection via mathematically driven raster detection

ToDo

  • implement a CLI for basic functions
  • rewrite experimental GUI using flet
  • implement Dask GPU support
  • Add raster detection component as processor
  • fix interactive 3d tomography visualizations (in-progress project)
  • Carve out save/load functionality into a separate module

Project links

Data verified by PyPI on Aug 11, 2026
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Key dates

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  • Released:
Newer release available (0.5.10)

1 maintainer

PyPI data
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Avatar for Cyan_ph from gravatar.com Cyan_ph

Credits

Author: Cian Hughes

GitHub Statistics

Data verified by PyPI on Aug 11, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT

Requires

Python >=3.13

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0.5.10

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0.5.9 This release

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0.5.2

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