Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Remove nx-cugraph from this repo #4756

Merged
merged 4 commits into from
Nov 18, 2024
Merged
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension


Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Next Next commit
Remove nx-cugraph from this repo
This is part of the migration to https://github.com/rapidsai/nx-cugraph

This is meant to fully remove nx-cugraph *except* for docs,
which are still built from this repo.
  • Loading branch information
eriknw committed Nov 13, 2024
commit 47a4620fb99d8285cd8eefbfe35ce4c56ab0e90c
3 changes: 0 additions & 3 deletions .gitignore
Original file line number Diff line number Diff line change
@@ -78,9 +78,6 @@ datasets/*
!datasets/karate-disjoint.csv
!datasets/netscience.csv

# nx-cugraph side effects
python/nx-cugraph/objects.inv

.pydevproject

# Jupyter Notebooks
21 changes: 0 additions & 21 deletions .pre-commit-config.yaml
Original file line number Diff line number Diff line change
@@ -19,7 +19,6 @@ repos:
language_version: python3
args: [--target-version=py310]
files: ^(python/.*|benchmarks/.*)$
exclude: ^python/nx-cugraph/
- repo: https://github.com/PyCQA/flake8
rev: 7.1.1
hooks:
@@ -59,23 +58,3 @@ repos:
hooks:
- id: rapids-dependency-file-generator
args: ["--clean"]
- repo: local
hooks:
- id: nx-cugraph-meta-data-update
name: nx-cugraph meta-data updater
entry: bash -c "PYTHONPATH=./python/nx-cugraph python ./python/nx-cugraph/_nx_cugraph/__init__.py"
files: ^python/nx-cugraph/
types: [python]
language: python
pass_filenames: false
additional_dependencies: ["networkx>=3.4"]
- repo: local
hooks:
- id: nx-cugraph-readme-update
name: nx-cugraph README updater
entry: bash -c "PYTHONPATH=./python/nx-cugraph python ./python/nx-cugraph/scripts/update_readme.py ./python/nx-cugraph/README.md"
files: ^python/nx-cugraph/
types_or: [python, markdown]
language: python
pass_filenames: false
additional_dependencies: ["networkx>=3.4"]
6 changes: 3 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
@@ -37,7 +37,7 @@
-----
## News

___NEW!___ _[nx-cugraph](./python/nx-cugraph/README.md)_, a NetworkX backend that provides GPU acceleration to NetworkX with zero code change.
___NEW!___ _[nx-cugraph](https://rapids.ai/nx-cugraph/)_, a NetworkX backend that provides GPU acceleration to NetworkX with zero code change.
```
> pip install nx-cugraph-cu11 --extra-index-url https://pypi.nvidia.com
> export NETWORKX_AUTOMATIC_BACKENDS=cugraph
@@ -62,7 +62,7 @@ That's it. NetworkX now leverages cuGraph for accelerated graph algorithms.
- [External Data Types](./readme_pages/data_types.md)
- [pylibcugraph](./readme_pages/pylibcugraph.md)
- [libcugraph (C/C++/CUDA)](./readme_pages/libcugraph.md)
- [nx-cugraph](./python/nx-cugraph/README.md)
- [nx-cugraph](https://rapids.ai/nx-cugraph/)
- [cugraph-service](./readme_pages/cugraph_service.md)
- [cugraph-dgl](./readme_pages/cugraph_dgl.md)
- [cugraph-ops](./readme_pages/cugraph_ops.md)
@@ -127,7 +127,7 @@ df_page.sort_values('pagerank', ascending=False).head(10)
* ArangoDB - a free and open-source native multi-model database system - https://www.arangodb.com/
* CuPy - "NumPy/SciPy-compatible Array Library for GPU-accelerated Computing with Python" - https://cupy.dev/
* Memgraph - In-memory Graph database - https://memgraph.com/
* NetworkX (via [nx-cugraph](./python/nx-cugraph/README.md) backend) - an extremely popular, free and open-source package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks - https://networkx.org/
* NetworkX (via [nx-cugraph](https://rapids.ai/nx-cugraph/) backend) - an extremely popular, free and open-source package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks - https://networkx.org/
* PyGraphistry - free and open-source GPU graph ETL, AI, and visualization, including native RAPIDS & cuGraph support - http://github.com/graphistry/pygraphistry
* ScanPy - a scalable toolkit for analyzing single-cell gene expression data - https://scanpy.readthedocs.io/en/stable/

49 changes: 0 additions & 49 deletions benchmarks/nx-cugraph/pytest-based/README.md

This file was deleted.

Loading
Loading