| Name | Version | Summary | date |
| absbox |
0.28.4 |
an analytical library for cashflow modeling on ABS/MBS products |
2024-05-27 10:45:12 |
| nudebomb |
0.3.7 |
Strip unused languages from mkv files en mass |
2024-05-26 21:23:09 |
| pysubs2 |
1.7.2 |
A library for editing subtitle files |
2024-05-25 21:25:55 |
| Subsearch |
2.46.0 |
Subsearch |
2024-05-15 13:31:38 |
| srt-to-vtt |
1.3.1 |
Python package to enable easy conversion of .srt files to .vtt files. |
2024-04-28 18:50:12 |
| step-kit |
0.2.2 |
STEP, an acronym for Spatial Transcriptomics Embedding Procedure, is a deep learning-based tool for the analysis of single-cell RNA (scRNA-seq) and spatially resolved transcriptomics (SRT) data. STEP introduces a unified approach to process and analyze multiple samples of scRNA-seq data as well as align several sections of SRT data, disregarding location relationships. Furthermore, STEP conducts integrative analysis across different modalities like scRNA-seq and SRT. |
2024-04-25 17:18:19 |