graphtools

Tools for building and manipulating graphs in Python.

Installation

graphtools is available on pip. Install by running the following in a terminal:

pip install --user graphtools

Alternatively, graphtools can be installed using Conda (most easily obtained via the Miniconda Python distribution):

conda install -c conda-forge graphtools

Or, to install the latest version from github:

pip install --user git+git://github.com/KrishnaswamyLab/graphtools.git

For improved performance with large datasets, install with numba acceleration:

pip install --user graphtools[fast]

Usage example

The graphtools.Graph class provides an all-in-one interface for k-nearest neighbors, mutual nearest neighbors, exact (pairwise distances) and landmark graphs.

Use it as follows:

from sklearn import datasets
import graphtools
digits = datasets.load_digits()
G = graphtools.Graph(digits['data'])
K = G.kernel
P = G.diff_op
G = graphtools.Graph(digits['data'], n_landmark=300)
L = G.landmark_op

Help

If you have any questions or require assistance using graphtools, please contact us at https://krishnaswamylab.org/get-help

Metadata

Release files for graphtools 2.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for graphtools 2.1.0
File	Size	Uploaded
graphtools-2.1.0.tar.gz	72.0 kB	Oct 27, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for graphtools 2.1.0
File	Interpreter	ABI	Platform	Reset
graphtools-2.1.0-py3-none-any.whl 50.1 kB Oct 27, 2025	Python 3	none	any	Details

Total release size: 122.2 kB

Release files / graphtools-2.1.0.tar.gz

Download URL	graphtools-2.1.0.tar.gz
Size	72.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`ffeeb042b927422c990233e51fb7fe0afb42c4345ec1ca1d8926d9a0e6bd0fe8`
BLAKE2b-256 checksum How to use checksums	`9ae544da85efc1548f5e815f09a03b63f12d25537bdddb3b2a0dfd78b9c7842c`
Upload date	Oct 27, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Release files / graphtools-2.1.0-py3-none-any.whl

Download URL	graphtools-2.1.0-py3-none-any.whl
Size	50.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`90bf7f4804c9cc3df15af8b47fca12363f9aa4513ca5d83c318d65424c67be48`
BLAKE2b-256 checksum How to use checksums	`a12b55ce4d4d1e0baa9e9c87bec30302a4bafb289475181e500d3f20d045cdc7`
Upload date	Oct 27, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.7`