Alternatives to networkx
50 AI Skills apps to use instead, best rated first.
Top picks
- B
batch-grill-me
Getbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- W
webapp-testing
GetNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
- C
content-research-writer
GetAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O
openhue
Getopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- I
implement
Getimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F
frontend-design
GetDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
More AI Skills apps
About networkx
networkx
Creates, analyzes, and visualizes complex networks and graphs in Python
networkx is an agent skill for creating, manipulating and analysing complex networks and graphs in Python with the NetworkX package. It applies to network and graph data, such as social networks, biological networks, transport systems, citation networks, knowledge graphs, or any system where entities are related to one another. The skill targets NetworkX 3.7, which it tested on Python 3.12 and later, excluding 3.14.1. It notes that several older APIs, including nx.info, nx.write_gpickle and nx.read_shp, and the 3.4-era nx.random_tree, no longer exist, and it uses the current replacements throughout. Its reference file records the sources it used, the examples it ran, the limits of optional dependencies and reproducibility notes. The snippets in the skill are API patterns rather than one continuous script, so you supply the graph type and input files for your own case. Use it when a task involves building a graph, computing graph measures, finding paths or communities, or drawing a network. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,900 installs.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/networkx