All software
Introduction to Geospatial Raster and Vector Data with Python
This lesson material shows how practical geospatial data analysis tasks can be carried out using Python
- Data Analysis
- geospatial
- Image processing
- + 4
FAIRSECO
FAIRSECO provides a way to quickly analyse a variety of data and metrics of your software, and it allows you to explore the impact of your software on the academic world. Metadata is gathered from many different sources, which is then analysed and compiled into a clear overview.
- Data Analysis
- FAIR
- Inter-operability & linked data
- + 2
- (EJS)
- (JavaScript)
- (TypeScript)
CBRAIN
CBRAIN is a flexible Ruby on Rails framework for accessing and processing of large data on high-performance computing infrastructures.
- CBRAIN
- cluster
- Data Analysis
- + 6
- (CSS)
- (HTML)
- (JavaScript)
- + 3
clumped-processing
Clumped isotope measurement processing script for Thermo Fisher MAT 253 plus isotope ratio mass spectrometer with the Kiel IV
- clumped isotope
- Data Analysis
- mass spectrometry
- + 3
- (HTML)
- (R)
clumpedr
Clumpedr aims to facilitate analysis of clumped isotope data. It builds on isoreader which is used to import raw data files from the mass spectrometer, and most of the important data processing parts are based on Huntington et al. 2009 and Daëron et al. 2016.
- Data Analysis
- mass spectrometry
- (Makefile)
- (R)
- (Rez)
rcrisp
rcrisp provides tools to automate the morphological delineation of riverside urban areas.
- Data Analysis
- geospatial
- R
- + 1
- (R)
- (TeX)
diffWOFOST
The python package diffWOFOST is a differentiable implementation of WOFOST models using torch, allowing gradients to flow through the simulations for optimization and data assimilation.
- Data Analysis
- deep learning
- High performance computing
- + 2
- (Python)
EXCITED Machine Learning Workflow
An open workflow for creating machine learning models for estimating the global biospheric CO2 exchange.
- CO2
- Data Analysis
- geospatial
- + 4
- ("Jupyter Notebook")
- (Python)
fairtool
Fairtool is a simple Python package to make your computational materials data FAIR. It comes with a command-line interface to transform the raw output into both machine-readable and human-readable outputs. It optionally allows the user to visualize the entire dataset locally on a web server.
- Computational Physics
- Data Analysis
- FAIR
- + 4
- (Python)
fieldcompare
A Python package for regression testing simulation results. Compare field data supporting various structured formats such as CSV and VTK file formats, through Python API or the command-line interface.
- Data Analysis
- Numerical analysis
- python
- + 1
- (Python)
ggmice
The {ggmice} package provides visualization tools for incomplete and imputed data in R, compatible with {mice} and {ggplot2}.
- Data Analysis
- R
- Statistics
- + 1
- (R)
YODA
YODA is a lightweight C++ and Python library for histogramming and statistical analysis, designed for use in particle physics workflows. It supports reproducible, high-performance data analysis and is the foundation for data handling in tools like Rivet.
- Data Analysis
- High performance computing
- Statistics
- + 1
- (C++)
- (M4)
- (Prolog)
- + 2