| Name | Version | Summary | date |
| opennano |
0.1.2 |
A Python package for processing NanoString GeoMx data. |
2024-12-15 14:37:14 |
| Pseudovisium |
1.0.15 |
Python package for hexagonal binning of high-resolution spatial transcriptomic data |
2024-12-13 14:13:44 |
| seu3d-tool |
0.1.4 |
A web server for visualization of spatial-temporal single cell transcriptomics data |
2024-12-11 14:14:40 |
| enact-SO |
0.1.4 |
ENACT is the first tissue-agnostic pipeline that integrates advanced cell segmentation with Visium HD transcriptomics data to infer cell types across whole tissue sections. This pipeline incorporates novel bin-to-cell assignment methods, enhancing the accuracy of single-cell transcript estimates. |
2024-11-20 01:07:58 |
| stereosite |
2.2.2 |
Analysis spatial transcriptomics data |
2024-11-12 03:15:46 |
| spatialaudiometrics |
0.1.2 |
For calculating spatial audio metrics |
2024-10-27 10:34:13 |
| anndash |
0.0.9 |
None |
2024-10-24 17:36:36 |
| rubik-spatial |
0.0.2 |
Python package for rapid spatial alignment of spatial transcriptomic datasets |
2024-10-18 14:53:01 |
| leesl |
0.0.1 |
Python package implementing the bivariate Lee's L statistic for spatial analysis |
2024-10-18 13:27:32 |
| spatialAUC |
0.0.8 |
Python package for gene set enrichment in spatial transcriptomic data |
2024-10-12 16:23:53 |
| arcgis |
2.4.0 |
ArcGIS API for Python |
2024-10-01 15:35:29 |
| splot |
1.1.7 |
Visual analytics for spatial analysis with PySAL. |
2024-09-09 21:57:39 |
| forestatrisk |
1.2.5 |
Modelling and forecasting deforestation in the tropics |
2024-07-17 02:45:15 |
| mNSF |
0.1.5 |
multi-sample non-negative spatial factorization |
2024-06-27 18:54:02 |
| spopt |
0.6.1 |
Spatial Optimization in PySAL |
2024-06-20 13:41:41 |
| verde |
1.8.1 |
Processing and gridding spatial data, machine-learning style |
2024-06-11 21:58:20 |
| mdal |
1.1.0 |
Mesh data processing |
2024-05-28 21:21:21 |
| georasters |
0.5.29 |
Tools for working with Geographical Information System Rasters |
2024-03-19 20:44:49 |
| mitea-hires |
0.0.18 |
Infer single-cell and spatial microRNA activity from transcriptomics data |
2024-02-27 16:30:16 |
| cynet |
2.0.4 |
Learning Point Processes Using Deep Granger Nets |
2024-02-26 02:06:19 |