fknni

Fast implementations of KNN imputation using faiss. Might support more backends such as annoy and GPUs in the future. Help is more than welcome!

Getting started

Please refer to the documentation. In particular, the

You need to have Python 3.12 or newer installed on your system. If you don't have Python installed, we recommend installing Mambaforge.

Install the latest release of fknni from PyPI:

pip install fknni

Install the latest development version:

pip install git+https://github.com/zethson/fknni.git@main

If you found a bug, please use the issue tracker.

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

Source distribution for fknni 1.3.0
File	Size	Uploaded
fknni-1.3.0.tar.gz	56.7 kB	Dec 19, 2025	Details

Table of built distributions (wheels) for fknni 1.3.0
File	Interpreter	ABI	Platform	Reset
fknni-1.3.0-py3-none-any.whl 11.8 kB Dec 19, 2025	Python 3	none	any	Details

Total release size: 68.5 kB

Download URL	fknni-1.3.0.tar.gz
Size	56.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`4dea1f0fa917022d7a07a703e4c15c4de11ab1d9583296e9ff36db1b09a4ba8c`
BLAKE2b-256 checksum How to use checksums	`c5e23ccb1abd1bb6e6a1630a549a38b65c19e0dbaa7848f2b29956911e338d14`
Upload date	Dec 19, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`python-requests/2.32.5`

Download URL	fknni-1.3.0-py3-none-any.whl
Size	11.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`d71f097b86718dc17d2958378b954900cf86b37e83ac15e9c403b22f1225e64d`
BLAKE2b-256 checksum How to use checksums	`8b97fb1a6aae823323952803e716562b9bbb3f75af32f8ae9663da59e8e03114`
Upload date	Dec 19, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`python-requests/2.32.5`