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25-36 of 58

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

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

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

Eventdisplay

Eventdisplay is a reconstruction and analysis pipeline for data of Imaging Atmospheric Cherenkov Telescopes (IACT).

Astronomy
Data analysis
gamma-ray telescopes

C++
C
Makefile
+ 3

spiralize

It visualizes data along an Archimedean spiral, makes so-called spiral graph or spiral chart. It has two major advantages for visualization: 1. It is able to visualize data with very long axis with high resolution. 2. It is efficient for time series data to reveal periodic patterns.

Data analysis
Data Science
Data Visualization
+ 3

R
JavaScript
CSS

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

Global Benchmark Database (GBD)

GBD is a comprehensive suite of tools for provisioning and sustainably maintaining benchmark instances and their metadata for empirical research on hard algorithmic problem classes.

Data analysis
FAIR Software
Information
+ 4

Python
JavaScript
HTML
+ 2

hCoCena - horizontal integration and analysis of transcriptomics datasets

hCoCena is an R-package that allows you to comprehensively and easily analyse your transcriptomics data. It also provides the option to integrate several datasets using a network-based integration approach and analyse them jointly. Tutorials and a Docker image exist to help you get to know the tool.

Data analysis
Gene Expression
Health
+ 1

KaMinPar

Shared-Memory and Distributed-Memory Graph Partitioning

Data analysis
Graphs
High performance computing
+ 3

C++
CMake
Python
+ 5

PtyLab.m/py/jl

A cross-platform, open-source inverse modeling toolbox for conventional and Fourier ptychography

computational physics
Data analysis
Data Visualization
+ 10

Jupyter Notebook
Python

pkgndep

A new metric named 'dependency heaviness' is proposed that measures the number of additional dependency packages that a parent package brings to its child package and are unique to the dependency packages imported by all other parents.

Data analysis
Data Visualization
FAIR Data
+ 3

R
HTML
JavaScript
+ 1

Data Analytics Software Project - Python bindings

Python RPC wrapper for the data analytics software framework DASF

Data analysis
Data Analytics Software Framework (DASF)
Digital Earth
+ 4

Python
Jinja
BibTeX
+ 1