| Name | Version | Summary | date |
| phd-ms |
0.0.10 |
Identifying multiscale tissue domains for spatial transcriptomic data using persistent homology. |
2025-07-25 17:08:49 |
| nico-sc-sp |
1.5.0 |
This package finds covariation patterns between interacted niche cell types from single-cell resolution spatial transcriptomics data. |
2025-07-12 05:54:37 |
| spatools |
0.0.65 |
This comprehensive toolkit enables the analysis of multiple spatial transcriptomics datasets, offering a wide range of analytical capabilities. It supports various types of analyses, including detailed plotting and advanced image analysis, to help you gain deeper insights into your spatial transcriptomics data. |
2025-03-11 05:09:49 |
| STMiner |
0.0.8 |
Python package for spatial transcriptomics data analysis |
2025-02-22 16:26:16 |
| spared |
2.0.7 |
SpaRED and Spackle library |
2025-01-27 02:45:22 |
| STHD |
1.0.0 |
STHD: probabilistic cell typing of single Spots in whole Transcriptome spatial data with High Definition |
2025-01-15 06:40:45 |
| SOAPy-st |
0.1.9 |
Spatial Omics Analysis in Python |
2025-01-08 09:27:47 |
| squidpy |
1.6.2 |
Spatial Single Cell Analysis in Python |
2024-11-12 13:01:45 |
| process-hdst |
0.0.13 |
Downstream analysis tool for spatial transcriptomics data, especially for data from HDSTDb |
2024-09-29 11:50:19 |
| DeepTalk-ST |
0.0.4 |
Cell-cell communication prediction for ST data |
2024-09-06 02:33:24 |
| ctopt |
0.1.0 |
Tool used for determining optimal number of cell type clusters in spatial transcriptomics samples |
2024-09-04 09:36:01 |
| metachat |
0.0.3 |
Spatial metabolic communication flow of single cells. |
2024-07-08 03:56:56 |
| SpaRED |
1.0.8 |
SpaRED and Spackle library |
2024-07-04 23:57:03 |
| CeLEryPy |
1.2.1 |
Leverage spatial transcriptomics data to recover cell locations in single-cell RNA RNA-seq |
2024-04-10 20:29:13 |