tmap is a very fast visualization library for large, high-dimensional data sets. Currently, tmap is available for Python. tmaps graph layouts are based on the OGDF library.
| Name | Description | |
|---|---|---|
| NIPS Conference Papers | A tmap visualization showing the linguistic relationship between NIPS conference papers. | view |
| Project Gutenberg | A tmap visualization of the linguistic relationships between books and authors extracted from Project Gutenberg. | view |
| MNIST | A visualization of the well known MNIST data set. No further explanation needed. | view |
| Fashion MNIST | A visualization of a more fashionable variant of MNIST. | view |
| Drugbank | A tmap visualization of all drugs registered in Drugbank. | view |
| RNAseq | RNA sequencing data of tumor samples. Visualized using tmap. | view |
| Flowcytometry | Flowcytometry data visualized using tmap. | view |
| MiniBooNE | tmap data visualization of a particle detection physics experiment. | view |
| Language | Operating System | Status |
|---|---|---|
| Python | Linux | Available |
| Windows | Available1 | |
| macOS | Available | |
| R | Unvailable2 |
1Works with WSL 2FOSS R developers wanted!
tmap is installed using the conda package manager. Don't have conda? Download miniconda.
conda install -c tmap tmapWe suggest using faerun to plot the data layed out by tmap. But you can of course also use matplotlib (which might be to slow for large data sets and doesn't provide interactive features).
pip install faerun
# pip install matplotlib