dwave-networkx
A NetworkX extension providing graphs and algorithms relevant to working with the D-Wave System
Decision gist · record as of 2026-08-14
Yes, but with a caveat: the package is actively maintained and suitable for working with D-Wave quantum systems, but it is officially deprecated in favor of dwave-graphs. Install this only if you have an existing codebase using dwave-networkx or are specifically targeting its current API; for new projects, use dwave-graphs instead. No security vulnerabilities are known.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; depends on NetworkX, dimod, and NumPy.
- Low install friction with a pure-Python wheel distribution.
- Actively maintained with a recent release (59 days old) and current Python version support (3.10–3.14).
License · maintenance · safety
Apache 2.0 (permissive) — Released under Apache License 2.0, a permissive license that allows commercial and private use with minimal restrictions—suitable for most projects.
last release 2026-06-16 (59 days) · last repo commit 2026-06-16 · 95 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 95,579 downloads/mo, #13,262 on PyPI
Alternatives
Verify before relying
pip install dwave-networkx
import dwave_networkx as dnx
graph = dnx.pegasus_graph(16)- Whether dwave-graphs (the recommended replacement) provides feature parity or if migration is necessary for new projects.
- Specific quantum algorithms implemented beyond graph topology support.
- Performance characteristics when working with large Pegasus topologies.
What it is and what it does
dwave-networkx is a NetworkX extension designed for users working with D-Wave quantum computers. It provides specialized tools for working with quantum processor unit (QPU) topology graphs—such as the Pegasus topology used on Advantage quantum computers—and implements graph-theory algorithms that run on D-Wave quantum systems and other binary quadratic model samplers. The package builds on NetworkX's graph exploration and analysis capabilities, adding quantum-specific functionality.
The package is actively maintained but officially deprecated in favor of dwave-graphs, which provides the same core functionality under a new namespace (dwave.graphs). It has low installation friction as a pure-Python package and supports modern Python versions (3.10–3.14). Its three runtime dependencies—NetworkX, dimod, and NumPy—are widely used and stable.
Use it for
- Generate and analyze Pegasus topology graphs for D-Wave Advantage quantum computers.
- Implement graph algorithms optimized for quantum processing on D-Wave systems.
- Convert classical graph problems into binary quadratic models for quantum sampling.
- Explore quantum processor connectivity and topology constraints in research.
- Prototype quantum-classical hybrid algorithms using graph-based problem formulations.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, but with a caveat: the package is actively maintained and suitable for working with D-Wave quantum systems, but it is officially deprecated in favor of dwave-graphs.
Install this only if you have an existing codebase using dwave-networkx or are specifically targeting its current API; for new projects, use dwave-graphs instead. No security vulnerabilities are known.
Install
dwave-networkx on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Actively maintained with a recent release (59 days old) and current Python version support (3.10–3.14). Repository shows steady activity and modest community engagement (95 stars).
Requires Python 3.10 or later; depends on NetworkX, dimod, and NumPy.
License in practice
Released under Apache License 2.0, a permissive license that allows commercial and private use with minimal restrictions—suitable for most projects.
Quickstart
pip install dwave-networkx
import dwave_networkx as dnx
graph = dnx.pegasus_graph(16)Verify before relying
- Whether dwave-graphs (the recommended replacement) provides feature parity or if migration is necessary for new projects.
- Specific quantum algorithms implemented beyond graph topology support.
- Performance characteristics when working with large Pegasus topologies.
Package facts
| License | Apache 2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesnetworkxdimodnumpy |
| Maintenance | Actively maintained 59 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 95,579 / month, #13,262 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: dwave_networkx-0.8.19-py3-none-any.whl
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