Molcomplib is a key component of the MolCompass project. It is a python library, that provides the pretrained parametric t-SNE model for molecular visualization. This model was trained on ChEMBL data (about 1 Million of molecules). This library generates X and Y coordinates for compounds so that similar compounds group together forming well-recognisible clusters. The library is lightweight, and requires only rdkit and numpy (optionally, pandas)
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Release files for molcomplib 1.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| molcomplib-1.1.3.tar.gz | 15.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| molcomplib-1.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.3 MB
Release files / molcomplib-1.1.3.tar.gz
| Download URL | molcomplib-1.1.3.tar.gz |
|---|---|
| Size | 15.6 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / molcomplib-1.1.3-py3-none-any.whl
| Download URL | molcomplib-1.1.3-py3-none-any.whl |
|---|---|
| Size | 15.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
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