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Logo for LiberTEM

LiberTEM

LiberTEM is an open source platform for high-throughput distributed processing of large-scale binary data sets and live data streams using a stream-based programming model. The current focus is pixelated scanning transmission electron microscopy (4DSTEM) and scanning electron beam diffraction data.

  • 4D STEM
  • electron microscopy
  • high-throughput
  • + 3
  • Python
  • TypeScript
  • JavaScript
  • + 6
23
27
Logo for SaQC

SaQC

A consistent, extensible, easy-to-use tool/framework for reproducible quality control of time series data.

  • Data analysis
  • Earth & Environment
  • Quality control
  • + 1
  • Python
10
24
Logo for TetraX

TetraX

TetraX is a package for finite-element-method (FEM) micromagnetic modeling with the aim of providing user-friendly and versatile micromagnetic workflows. Among other features, it allows to efficiently calculate spin-wave spectra in different magnetic systems of general geometries.

  • finite-element-method
  • magnetization dynamics
  • micromagnetic modeling
  • + 4
  • Python
  • C
  • Cython
4
24
Logo for Album

Album

A Platform for Replicable Science. Album is an open-source tool that simplifies sharing and running scientific workflows. With isolated environments, metadata for easy discovery, and cross-platform support, it ensures replicability. Designed for collaboration, it’s adopted by leading researchers.

  • GUI
  • Interactivity
  • open source
  • + 2
  • Python
  • Dockerfile
4
23
Logo for Julearn

Julearn

Julearn aims to provide an easy-to-use but flexible interface to build predictive models with cross-validation (CV) consistent performance estimates. It poses as a solution accessible to domain experts without extensive ML training, enabling them to quickly fit and evaluate ML algorithms.

  • Machine learning
  • Neuroimaging
  • python
  • Python
6
23
Logo for CellRank

CellRank

CellRank is a computational framework to study cellular fate decisions based on various types of single-cell genomics data. CellRank scales to large cell numbers, is fully compatible with the scverse ecosystem, and is easy to use.

  • Data analysis
  • fate mapping
  • fate prediction
  • + 7
  • Python
14
21
Logo for Stable-Baselines3

Stable-Baselines3

Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch.

  • Machine learning
  • robotics
  • Python
  • Shell
  • Makefile
  • + 1
26
21
Logo for CorC

CorC

With CorC, we implemented an IDE to create programs following the Correctness-by-Construction approach. Starting with an abstract specification, CorC supports CbC developers in refining a program by a sequence of refinement steps and in verifying the correctness of these refinements.

  • Eclipse
  • WebCorC
  • Java
  • ANTLR
5
20

venco.py

A tool to derive battery electric vehicle energy demands from given trip data. venco.py provides normalized, aggregated electric vehicle fleet demand profiles for two cases: Uncontrolled charging and a technical (mobility-constrained) potential for controlled charging including vehicle-to-grid.

  • electricity
  • electric vehicles
  • Flexibility
  • + 2
  • Python
6
20

LaPy

LaPy is an open-source Python package for differential geometry on triangle and tetrahedra meshes. It includes an FEM solver to estimate the Laplace, Poisson or Heat equations, also the computations of gradients, divergence, mean-curvature flow, conformal mappings, geodesics, ShapeDNA and more.

  • computational geometry
  • FEM
  • Laplace
  • + 4
  • Python
2
19
Logo for XCASCADE (3D)

XCASCADE (3D)

XCASCADE (3D) software models electron cascades in solids induced by X-ray impact or by an impact of high-energy electron in non-relativistic energy regime. The code can provide temporal and spatial characteristics of the excited electrons, such as their transient density and energy.

  • Electron cascading
  • Modeling
  • Monte Carlo simulation
  • + 3
    3
    19

    calibr8

    calibr8 is a Python toolbox for likelihood-based calibration modeling and Bayesian inference. It supports uni- and multivariate problems, continuous & discrete distributions and includes ready to use models for many non-linear problems. It integrates with PyMC for advanced Bayesian inference.

    • Calibration
    • Data analysis
    • Earth & Environment
    • + 4
    • Jupyter Notebook
    • Python
    2
    18