---
title: networkx Reviews
meta_title: 'networkx Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 10 reviews by the users' company size, role or industry to
  find out how networkx works for a business like yours.
aggregate_rating:
  rating_value: 4.5
  review_count: 10
  scale: '5'
date_modified: '2026-05-05'
parent_category:
  name: Development
  url: https://www.g2.com/categories/development
---

# networkx Reviews
**Vendor:** networkx  
**Category:** [Component Libraries Software](https://www.g2.com/categories/component-libraries)  
**Average Rating:** 4.5/5.0  
**Total Reviews:** 10
## About networkx
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.




## networkx Reviews
  ### 1. Excellent toolset for data scientists working with graphs.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Nguyen T. | Academic Coach, Mid-Market (51-1000 emp.)

**Reviewed Date:** September 23, 2021

**What do you like best about networkx?**

A python package with pythonic apis. Integration with Pandas and GeoPandas. A plethora of built-in graph algorithms that are relatively fast implementations (not the best, but good enough for most non-production use cases)

**What do you dislike about networkx?**

Nothing. I use NetworkX as a tool among many tools needed in a solution, so I do not expect it to be able to do everything. I'd like to see the library to focus on its strength: easy to start with and plenty of powerful graph-based algorithm available.

**Recommendations to others considering networkx:**

Develop familiarity with the basic concepts before jumping into the algorithms.

**What problems is networkx solving and how is that benefiting you?**

Graph-based problems including path finding and network analysis.

  ### 2. Best Python package for network analysis

**Rating:** 4.0/5.0 stars

**Reviewed by:** 德云 . | Research Fellow , Enterprise (> 1000 emp.)

**Reviewed Date:** September 30, 2021

**What do you like best about networkx?**

Best tutorial, very well-organized structure, and simplified coding language.

**What do you dislike about networkx?**

The visualization results is not as pretty as Gephi or R packages such as igraph. It is also difficult to create beautiful dynamic networks.

**Recommendations to others considering networkx:**

Have a better design for the visualizations would help a lot.

**What problems is networkx solving and how is that benefiting you?**

Compute network indicators and visualization. It's very fast to compute.

  ### 3. Helped a lot working on  Data structures for graphs, digraphs, and multigraphs

**Rating:** 4.5/5.0 stars

**Reviewed by:** Aayush A. | AI,Deep Learning ,Data Science Instructor, Small-Business (50 or fewer emp.)

**Reviewed Date:** October 02, 2021

**What do you like best about networkx?**

Many standard graph algorithms
Network structure and analysis measuresmeasures
Well tested with over 90% code coverage

**What do you dislike about networkx?**

This is python package. I use java as well in different projects so I think it would be great is we can use it in java as well.

**What problems is networkx solving and how is that benefiting you?**

Shortest path problem.

  ### 4. It was a fun and creative experience using networkx

**Rating:** 4.0/5.0 stars

**Reviewed by:** Pouria F. | Cloud Platform Developer, Mid-Market (51-1000 emp.)

**Reviewed Date:** September 24, 2021

**What do you like best about networkx?**

It is easy to use, with straightforward functions and attributes.

**What do you dislike about networkx?**

It is not functional with lots of nodes and edges.

**What problems is networkx solving and how is that benefiting you?**

I used networkx for simulating a virus diffusion. I realized how dynamic it can be used for random movements of nodes.

  ### 5. Data and Analytics; I used NetworkX to create network graphs to social connections

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Civic & Social Organization | Small-Business (50 or fewer emp.)

**Reviewed Date:** September 24, 2021

**What do you like best about networkx?**

I like the fact that I can customize my graph in any way I need and NetworkX can calculate all the degrees of closeness and nearness for me

**What do you dislike about networkx?**

I usually use GEPHI to open NetworkX files and its so slow. Wish there was a NetworkX program to open it on

**What problems is networkx solving and how is that benefiting you?**

Basically, doing social network analysis more easily! That it makes much easier to calculate the analysis and make it

  ### 6. Great tool for prototyping graph solutions with python.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.)

**Reviewed Date:** September 22, 2021

**What do you like best about networkx?**

supports a large set of graph algorithms and the APIs are easy to work with, and compatible with other python libraries.

**What do you dislike about networkx?**

probably better to use other distributed libraries when you work with larger datasets or graphs.

**What problems is networkx solving and how is that benefiting you?**

modeling problems with graphs and developing graph algorithms and graph databases.

  ### 7. Create any Graph easily

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.)

**Reviewed Date:** September 27, 2021

**What do you like best about networkx?**

It is very easy to use. Possible can find anything on the internet related to it.

**What do you dislike about networkx?**

Networkx is a Python library, so when working with big data, it consumes a lot of memory.

**What problems is networkx solving and how is that benefiting you?**

I learned it while undertaking data science specialization.

  ### 8. It's been very helpful with all the support system

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.)

**Reviewed Date:** September 24, 2021

**What do you like best about networkx?**

The visual aspects of it are so intuitive.

**What do you dislike about networkx?**

The speed and correlation of maps would help a lot

**What problems is networkx solving and how is that benefiting you?**

Modeling a chain system for decentralised network topology for data encryption. It has made things more presentable.

  ### 9. My Review

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.)

**Reviewed Date:** September 22, 2021

**What do you like best about networkx?**

It has a lot of useful functions. More functions than snap.py library.

**What do you dislike about networkx?**

There should be more functions to visualize the graps. graph

**What problems is networkx solving and how is that benefiting you?**

I am trying to find which political party has the most abusive members.

  ### 10. Well structured classes

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Airlines/Aviation | Small-Business (50 or fewer emp.)

**Reviewed Date:** September 21, 2021

**What do you like best about networkx?**

Methods' names are self-explanatory, intuitive

**What do you dislike about networkx?**

Visualization capabilities. Integrate machine/deep learning capabilities

**Recommendations to others considering networkx:**

Improve visualization capabilities, deal with large datasets

**What problems is networkx solving and how is that benefiting you?**

Mostly graph analytics. Low intital learning curve


## networkx Discussions
  - [Is NetworkX safe?](https://www.g2.com/discussions/is-networkx-safe)
  - [Is Igraph faster than NetworkX?](https://www.g2.com/discussions/is-igraph-faster-than-networkx)
  - [Is NetworkX a standard Python library?](https://www.g2.com/discussions/is-networkx-a-standard-python-library)
  - [What is NetworkX used for?](https://www.g2.com/discussions/what-is-networkx-used-for)

- [View networkx pricing details and edition comparison](https://www.g2.com/products/networkx/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-29+09%3A51%3A19+-0500&secure%5Bsession_id%5D=5aa39edd-5533-4e01-8219-ff22cf4b6e22&secure%5Btoken%5D=e43dffbc9cb039ac3d77bec630e4b42e47a7eb07f4f47fad4770549db5e6c2ec&format=llm_user)

## networkx Features
**Functionality**
- Language Contingency
- Component Library
- Unlocked Components

**Management**
- Framework Integration
- Repository Management
- Support

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