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scientific

Scientific Toolkit v2.0 is a free, Python-based desktop application that provides an integrated, adaptable environment for researchers, students, and labs with limited budgets. Originally developed as the Basalt Provenance Triage Toolkit for geochemical and typological classification of Early Bronze Age I basalt vessels and artefacts (Egypt/Levant) using pXRF/ICP-MS, isotopes, wall-thickness measurements, and museum metadata, it has been significantly expanded and rebranded.

Now supports 18+ disciplines including geochemistry, archaeology, petrology, sedimentology, soil science, environmental analysis, zooarchaeology, isotope geochemistry, geochronology, spectroscopy, GIS, and more. Key features:

70 rule-based classification engines (e.g., TAS, QAPF, Pearce diagrams, Hakanson risk, Behrensmeyer weathering) 10 multi-stage scientific protocols 37 software plugins + 25 add-ons (plotting, consoles, offline Toolkit AI v2.2, macro recorder) 16 hardware suites for direct integration (SciAps/Olympus/Bruker pXRF, Mitutoyo calipers, balances, pH meters, GNSS, etc.) 16 domain-specific Field Panels with live embedded diagrams and auto-detection Statistical Console (plain-language stats, no coding) Publication-ready templates (Nature, Science, AGU, Elsevier) Project save/load, thread-safe auto-save, and more

Designed for cross-disciplinary workflows, field-to-lab portability, and non-coders. Built by an independent researcher using curiosity-driven development. Validate all results—garbage in, garbage out. Full details: https://gitlab.com/sefy76/scientific-toolkit/ Zenodo Archive: https://doi.org/10.5281/zenodo.18727755

Collection of Scientific Operations

Optimization of irradiation conditions with SRIM

ROS wrapper for the scigl_render library. Contains nodes for augmented reality, projector and depth rendering.

Library to simplify massively parallelized rendering of color and depth images via OpenGL (e.g. for probabalistic filtering).

updated to kernel 4.3 of the datacite metadata generator. Original build by Marcin Paluch (https://github.com/mpaluch)

A Java wrapper for Python's matplotlib.

A Crystal library for scientific computing with a focus on data science and machine learning.

Scientific bibliography for concrete5's website, using Express module, displaying links to inlines PDF and web url's

A python library for scientific use of discrete wavelet transforms