This is a Fork of the FLANN repo, under a different name for use in the IBEIS project. The main difference is that it has a few more helper function calls and it should be easier build wheels and to pip install.
FLANN - Fast Library for Approximate Nearest Neighbors
FLANN is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms we found to work best for nearest neighbor search and a system for automatically choosing the best algorithm and optimum parameters depending on the dataset. FLANN is written in C++ and contains bindings for the following languages: C, MATLAB, Python, and Ruby.
Documentation
Check FLANN web page [here](http://www.cs.ubc.ca/research/flann).
Documentation on how to use the library can be found in the doc/manual.pdf file included in the release archives.
More information and experimental results can be found in the following paper:
Marius Muja and David G. Lowe, “Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration”, in International Conference on Computer Vision Theory and Applications (VISAPP’09), 2009 [(PDF)](http://people.cs.ubc.ca/~mariusm/uploads/FLANN/flann_visapp09.pdf) [(BibTex)](http://people.cs.ubc.ca/~mariusm/index.php/FLANN/BibTex)
Getting FLANN
If you want to try out the latest changes or contribute to FLANN, then it’s recommended that you checkout the git source repository: git clone git://github.com/mariusmuja/flann.git
If you just want to browse the repository, you can do so by going [here](https://github.com/mariusmuja/flann).
Conditions of use
FLANN is distributed under the terms of the [BSD License](https://github.com/mariusmuja/flann/blob/master/COPYING).
Bug reporting
Please report bugs or feature requests using [github’s issue tracker](http://github.com/mariusmuja/flann/issues).
1 maintainer
Release files for pyflann-ibeis 2.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyflann_ibeis-2.5.0.tar.gz | 192.9 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyflann_ibeis-2.5.0-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| pyflann_ibeis-2.5.0-py3-none-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl | Python 3 | none | Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 | Details |
Total release size: 3.1 MB
Release files / pyflann_ibeis-2.5.0.tar.gz
| Download URL | pyflann_ibeis-2.5.0.tar.gz |
|---|---|
| Size | 192.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6974211350f313fff5c3d585db02830c7cff05d00c1d034f14f843244537164f
|
|
BLAKE2b-256 checksum How to use checksums |
b50a5475e5ab046e6e12d003241f14547d0001bcf2e15eef6307008c2592a48a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 16, 2026.
Transparency logRelease files / pyflann_ibeis-2.5.0-py3-none-win_amd64.whl
| Download URL | pyflann_ibeis-2.5.0-py3-none-win_amd64.whl |
|---|---|
| Size | 1.2 MB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
b01f21b4c4a072306f350971c68586a6191bf1c23e059e4a54e7f3a329605b54
|
|
BLAKE2b-256 checksum How to use checksums |
d6a96d15bb559b5ee92447238720fd06e232b30ecf57b294af5c0d93b9ed6fec
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 16, 2026.
Transparency logRelease files / pyflann_ibeis-2.5.0-py3-none-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
| Download URL | pyflann_ibeis-2.5.0-py3-none-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 1.7 MB |
| Tags | Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
6d54a7a5a4b30e134b59d467bdfdfbae632eb20788ce59bb41b12aacbd6f4c07
|
|
BLAKE2b-256 checksum How to use checksums |
e9664e27539b9627fd033494aadb47dc6797affbde11bb9a0751e9fa24a9881f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 16, 2026.
Transparency log
