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NetworkX VS vscode.dev

Compare NetworkX VS vscode.dev and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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Contents:
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  2. » Videos
  3. » Reviews
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NetworkX logo NetworkX

NetworkX is a Python language software package for the creation, manipulation, and study of the...

vscode.dev logo vscode.dev

Now when you go to https://vscode.dev, you'll be presented with a lightweight version of VS Code running fully in the browser.
  • NetworkX Landing page
    Landing page //
    2023-09-14
  • vscode.dev Landing page
    Landing page //
    2023-05-03

NetworkX features and specs

  • Ease of Use
    NetworkX provides a simple and intuitive API that makes it easy for both novices and experienced users to create, manipulate, and study the structure and dynamics of complex networks.
  • Comprehensive Documentation
    The library is well-documented with a vast number of examples and tutorials, aiding users in understanding and applying the features effectively.
  • Rich Functionality
    NetworkX offers numerous built-in functions to analyze network properties, perform algorithms like shortest path and clustering, and handle various graph types such as directed, undirected, and multigraphs.
  • Integration with Python Ecosystem
    Being a Python library, NetworkX integrates seamlessly with other scientific computing libraries like NumPy, SciPy, and Matplotlib, allowing for extensive data analysis and visualization.
  • Active Community
    NetworkX's active community of users and developers means continuous improvements and updates, as well as a wealth of shared knowledge and code to draw upon.

Possible disadvantages of NetworkX

  • Performance Limitations
    NetworkX may suffer from performance issues with extremely large graphs due to its in-memory data storage and Python's inherent single-threaded execution, making it less suitable for handling very large-scale networks.
  • Lack of Parallel Processing
    NetworkX does not natively support parallel processing within its operations, which can be a drawback when working with complex computations or very large graphs.
  • Memory Consumption
    Graphs and network data structures in NetworkX may consume a substantial amount of memory, especially with large datasets, potentially leading to inefficiencies.
  • Visualization Limitations
    While NetworkX provides basic plotting capabilities, for more advanced and interactive visualizations, additional libraries like Matplotlib or Plotly might be needed.
  • Scalability Constraints
    The library is not designed to work efficiently with very large networks compared to other frameworks specialized for scalability, such as Graph-tool or igraph.

vscode.dev features and specs

  • Accessibility
    You can access VSCode.dev from any device with a web browser, making it highly convenient for on-the-go editing.
  • No Installation Required
    Users can start coding immediately without any need to install software, simplifying the setup process.
  • Cross-Platform Compatibility
    VSCode.dev works across different operating systems (Windows, macOS, Linux), offering flexibility.
  • Regular Updates
    The web version receives updates in sync with the desktop version, ensuring you have access to the latest features and improvements.
  • Extension Support
    Many extensions available in the desktop version are also accessible in VSCode.dev, enhancing functionality.

Possible disadvantages of vscode.dev

  • Limited Offline Support
    Unlike the desktop app, VSCode.dev requires an internet connection, which could be a drawback in areas with poor connectivity.
  • Performance Constraints
    Running in a browser may result in decreased performance compared to the desktop version, especially for resource-intensive tasks.
  • Lower Customizability
    The web version may have some limitations in customization options compared to the full-featured desktop app.
  • Security Concerns
    Storing code and editing in a browser might raise security and privacy concerns for some users, particularly when dealing with sensitive information.
  • Dependency on Browser
    The experience can vary depending on the browser used, and it might not be fully optimized for all browsers.

NetworkX videos

+ Add

Directed Network Analysis - Simulating a Social Network Using Networkx in Python - Tutorial 28

vscode.dev videos

+ Add

VSCode.Dev (VS Code in the Browser) - A Few Reasons You Might Care

More videos:

  • Review - VSCode In The BROWSER!? | vscode.dev | VS Code Online
  • Review - vscode.dev - VS Code In The Browser!!

Category Popularity

0-100% (relative to NetworkX and vscode.dev)

NetworkX

vscode.dev

Graph Databases
100 100%
Graph Databases
0% 0
Text Editors
0 0%
Text Editors
100% 100
Databases
100 100%
Databases
0% 0
Open Source
0 0%
Open Source
100% 100

User comments

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Social recommendations and mentions

Based on our record, vscode.dev should be more popular than NetworkX. It has been mentiond 271 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

NetworkX mentions (35)

  • Representing Graphs in PostgreSQL
    If you are interested in the subject, also take a look at NetworkDisk[1] which enable users of NetworkX[2] which maps graphs to databases. [1] https://networkdisk.inria.fr/ [2] https://networkx.org/. - Source: Hacker News / 3 months ago
  • Build the dependency graph of your BigQuery pipelines at no cost: a Python implementation
    In the project we used Python lib networkx and a DiGraph object (Direct Graph). To detect a table reference in a Query, we use sqlglot, a SQL parser (among other things) that works well with Bigquery. - Source: dev.to / over 1 year ago
  • Custom libraries and utility tools for challenges
    If you program in Python, can use NetworkX for that. But it's probably a good idea to implement the basic algorithms yourself at least one time. Source: over 1 year ago
  • Google open-sources their graph mining library
    For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2]. Integrations include: * NetworkX -- https://networkx.org/ * DeepGraphLibrary -- https://www.dgl.ai/ * cuGraph (Rapids.ai Graph) --... - Source: Hacker News / over 1 year ago
  • org-roam-pygraph: Build a graph of your org-roam collection for use in Python
    Org-roam-ui is a great interactive visualization tool, but its main use is visualization. The hope of this library is that it could be part of a larger graph analysis pipeline. The demo provides an example graph visualization, but what you choose to do with the resulting graph certainly isn't limited to that. See for example networkx. Source: almost 2 years ago
View more

vscode.dev mentions (271)

  • Who Needs Software for Development Anyway?
    The GitHub code editor (immediately accessible by changing the ".com" to ".dev" in your browser URL, in case you didn't know) is miles, leagues ahead of what AWS has to offer. It has a full, working version of vscode.dev, which is pretty much the same as github.dev those days, I hear. It will allow you to install supported extensions, do some code completion, run your tests - and even has a shell! You can't... - Source: dev.to / 4 months ago
  • Show HN: I'm tired of sharing code using PasteBin and Slack, so I made this
    Vscode itself can run in the browser (https://vscode.dev/), and presumably so could the extension - so a full live-demo ought to be possible. - Source: Hacker News / 4 months ago
  • Dear AWS, how do I build & develop purely on AWS right now?
    As an alternative for Cloud9, you can use vscode.dev, which runs VS Code in the browser or other alternatives that are more integrated and personalized like gitpod.io or Github Codespaces. - Source: dev.to / 8 months ago
  • Coding on iPad using VSCode, Caddy, and code-server
    Is it ergonomic to code on a tablet without bci? https://vscode.dev can connect to a remote vscode instance in a container e.g. Over Remote Tunnels ; but browsers trap so many keyboard shortcuts. Which container with code-server to run to connect to from vscode client? You can specify a development container that contains code-server with devcontainer.json. vscode, Codespaces and these tools support... - Source: Hacker News / 8 months ago
  • Show HN: Defrag the Game
    Microsoft has an elaborate VS Code demo app that uses this API. Click "Open Folder" to see the API in action): https://vscode.dev. - Source: Hacker News / 8 months ago
View more

What are some alternatives?

When comparing NetworkX and vscode.dev, you can also consider the following products

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.

JanusGraph - JanusGraph is a scalable graph database optimized for storing and querying graphs.

StackBlitz - Online VS Code Editor for Angular and React

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