Rapids-singlecell

Latest version: v0.12.1

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0.8.0

Features

* added support for UMAP 47
* added support for neighbors 50

Fixes

* Fixed `filter_highly_variable` 51

0.7.5

Fixes

* Fixed a bug with where larger datasets would crash for Harmony GPU 35
* Adds a dedicated Class for Sparse Matrix based PCA 36

Improvements
* adds in ruff for pre-commit 36
* adds CI and automated testing 33
* adopted a newer theme for docs 31

Misc

Rapids-singlecell is now under the scverse umbrella as comunity package.

0.7.2

Added support for Rapids-23.06:
* added `a_min` to `cp.clip` for `.pp.scale`
* changed default `n_iterations` for `leiden` to 100

0.7.1

Bugfixes
* fixes a bug with `_inplace_subset_obs`
Changes
* removed `tests` from distributions

0.7.0

cunnData
* added `_inplace_subset_var` & `_inplace_subset_obs`
* added `var_vector` & `obs_vector`
* made cunnData more robust
* made slicing more robust
* enforced `cp.float32` dtype

Fixes
* Replaced deprecated `cp.sparse` with `cpx.scipy.sparse`

Tests
* added tests for `cunnData`
* added test for `decoupler_gpu`
* added test for `gr.ligrec`

0.6.3

Bugfixes and Improvements:
* updates and bugfixes for cunnData
* switched to one PCA - function for cudata and adata
* added `random_state` to PCA
* added layer support for batched hvg-flavors `seurat` and `cell_ranger`
* warning for `cell_ranger` `n_top_genes > dispersion_norm.size`
* added settings dict for and minor bugfix for `normalize_pearson_residuals`
* bugfix for `calculate_qc_metrics`
* bugfix hvg-flavors `pearson_residuals`
* made `max_value` clipping optional for `pp.scale`
* added checks to `gr.ligrec`
* forces float32 for `gr.spatial_autocorr` and fix for `n_perms = 0`
* bugfix for `_check_nonnegative_integers`

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