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13-24 of 54

Aviator

Aviator is a web service facilitating easy surveillance of scientific online tools. It currently checks more than 13,000 websites twice a day for availability and saves numerous features (response time, RAM usage security certificates, analytic tools / trackers, etc.) in a FAIR data repository.

Data Visualization
FAIR Data
FAIR Software
+ 8

Python
HTML
JavaScript
+ 5

Heat

Heat is a flexible and seamless open-source software for high performance data analytics and machine learning. It provides highly optimized algorithms and data structures for tensor computations using CPUs, GPUs and distributed cluster systems on top of MPI.

CPU
Data analysis
GPU
+ 4

Python
Jupyter Notebook
Shell
+ 1

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

SpatialData framework

SpatialData is an open and interoperable data framework for ingesting, representing, processing and visualizing spatial omics datasets.

Data Visualization
FAIR Data
Multi omics
+ 3

Python
Dockerfile

Stable-Baselines3

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

Machine learning
robotics

Python
Shell
Makefile
+ 1

Mallob

Automated Reasoning in HPC and Cloud Environments: Scheduling, Solving, Proving

automated reasoning
High performance computing
job scheduling
+ 2

C++
Shell
Python
+ 5

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

Kaapana

Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.

data managment
Federated Learning
Image processing
+ 2

Python
Shell
Vue
+ 12

deus

Damage and Exposure Update Service

Earth & Environment
Geohazards

Python
Shell
Dockerfile

CellDetection

An open-source Python package, offering advanced AI methods for the identification and segmentation of biomedical objects, such as cells, in image data. Includes trained models that work out-of-the-box for a wide range of use cases.

cell counting
cell detection
cell segmentation
+ 9

Python
Dockerfile

JuPedSim

JuPedSim is a framework designed to support students and researchers in investigating pedestrian dynamics and conducting research related to the development and validation of new models or model features. It enables the analysis of experiments and facilitates the proper visualization of results.

Information
Modeling
open source
+ 3

Python
C++
Jupyter Notebook
+ 4

MLAir

MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of meteorological and air quality time series.

Python
Shell
Jupyter Notebook
+ 2