Software Alternatives, Accelerators & Startups

NetBird VS Matplotlib

Compare NetBird VS Matplotlib and see what are their differences

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NetBird logo NetBird

Connect your devices into a single secure private WireGuardยฎ-based mesh network with SSO/MFA and manage access with just a few clicks.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • NetBird Landing page
    Landing page //
    2025-10-28
  • NetBird Browser client support
    Browser client support //
    2025-10-28
  • NetBird Control Center
    Control Center //
    2025-10-28
  • NetBird Setup in minutes!
    Setup in minutes! //
    2025-10-28
  • NetBird Secure sharepoints
    Secure sharepoints //
    2025-10-28
  • NetBird SSH/RDP
    SSH/RDP //
    2025-10-28

NetBird is an open-source Zero Trust Networking platform designed by engineers, for engineers. It radically simplifies how modern organizations deploy and manage secure private networks offering the speed, security, and scalability todayโ€™s distributed teams demand.

Built on the trusted, high-performance WireGuardยฎ protocol, NetBird overcomes the traditional limitations of legacy VPNs by creating high-throughput, low-latency decentralized private networks. Its robust architecture provides a single, intuitive management console that enables granular, identity-based access control, integrating seamlessly with your existing Identity Provider (IdP) to support SSO and MFA out of the box.

With native IdP integration, your devices, servers, and cloud environments form direct, encrypted tunnels to each other - no central gateway or bottleneck. The centralized control plane offers full visibility, policy enforcement, and point-and-click management for secure remote access across hybrid and multi-cloud setups.

NetBirdโ€™s decentralized architecture delivers multiple key advantages:

Zero bottlenecks: Traffic flows directly between peers, avoiding latency and bandwidth constraints from central gateways.

Enhanced resilience: With no single point of failure, users stay connected even if on-prem infrastructure fails. Cloud-to-cloud and user-to-cloud links remain fully operational.

Scalability and privacy: Lightweight clients on each peer manage encrypted communication, while the management plane handles authentication and policy distribution without ever seeing your data.

Seamless integrations: Works effortlessly with CrowdStrike, Microsoft Intune, SentinelOne, pfSense, OPNsense, and more. MSPs can manage multiple customer environments securely from a unified dashboard.

Use NetBird for secure remote access, zero-config VPN replacement, Zero Trust enforcement, dynamic posture checks, centralized management, detailed logging and many more features.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

NetBird

Website
netbird.io
$ Details
freemium $5.0 / Monthly (Per user)
Platforms
Linux MacOS Windows Android iOS Servers Docker
Release Date
2022 April
Startup details
Country
Germany
State
Berlin
City
Berlin
Founder(s)
Mikhail Bragin, Maycon Santos
Employees
10 - 19

NetBird features and specs

  • Easy Setup
    NetBird offers a straightforward setup process, which allows users to quickly configure and deploy a secure network without needing extensive technical knowledge.
  • Enhanced Security
    The platform provides robust security features, such as end-to-end encryption and zero-trust architecture, to ensure safe and secure communications across devices and networks.
  • Cross-Platform Compatibility
    NetBird is designed to work across various operating systems, including Windows, macOS, Linux, and more, providing flexibility and interoperability for users with different devices.
  • Scalability
    NetBird allows for easy scaling to accommodate growing networks or expanding user bases, making it suitable for both small teams and larger enterprises.
  • Open-Source
    As an open-source solution, NetBird invites contributions from the community, which can lead to continuous improvements and transparency of its code base.
  • Zero bottlenecks
    Traffic flows directly between peers, eliminating the latency and bandwidth limits caused by routing through a central gateway.
  • Multi-Tenant Management for MSPs
    Manage all customer networks securely from one unified dashboard

Possible disadvantages of NetBird

  • Dependency on Internet Connection
    The performance of NetBird can be hindered by poor or unstable internet connections, potentially impacting network speed and reliability.
  • Potential Learning Curve
    While the setup is generally user-friendly, users without prior experience in networking may encounter a learning curve when navigating certain advanced features or integrations.
  • Limited Support Resources
    As a relatively new or niche solution, NetBird might not have an extensive library of support resources, tutorials, or community forums compared to more established networking tools.
  • Compatibility Issues
    Although NetBird is cross-platform, there could be occasional compatibility issues with specific hardware or software configurations that require troubleshooting.
  • Resource Intensity
    Running NetBird's security protocols can consume considerable system resources, which might be a concern for users with older or less powerful devices.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

NetBird videos

Get Started with NetBird: Build your Secure P2P Overlay Network

More videos:

  • Tutorial - NEW Netbird Control Center - Remote Access, Beautifully Visualized
  • Demo - NetBird Explained: Architecture for Simple and Secure Remote Access

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to NetBird and Matplotlib)
VPN
100 100%
0% 0
Data Science And Machine Learning
Cloud VPN
100 100%
0% 0
Technical Computing
0 0%
100% 100

Questions & Answers

As answered by people managing NetBird and Matplotlib.

What makes your product unique?

NetBird's answer

NetBird is unique because it creates direct, peer-to-peer encrypted connections using WireGuardยฎ, removing the bottlenecks of traditional VPNs. Itโ€™s open-source and self-hostable, giving full control and transparency to users. With identity-based access control and seamless IdP integration, it fully embraces Zero Trust principles. Its decentralized, high-performance architecture ensures scalability, resilience, and simplicity for modern, distributed teams and for MSPs.

Why should a person choose your product over its competitors?

NetBird's answer

Choose NetBird for its peer-to-peer WireGuardยฎ architecture that delivers faster, more resilient connections without VPN bottlenecks. Itโ€™s open-source and self-hostable, giving you full transparency and control over your network. With built-in Zero Trust, IdP integration, and simple management, NetBird combines security, speed, and ease of use better than traditional VPNs.

How would you describe the primary audience of your product?

NetBird's answer

NetBird serves anyone who wants to securely connect devices, users, and applications anywhere in the world without the complexity of traditional VPNs.

Itโ€™s built for DevOps engineers, IT and security professionals, and MSPs managing distributed infrastructure across cloud, hybrid, or on-prem environments.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NetBird and Matplotlib

NetBird Reviews

Self Hosting Like Its 2025
If youโ€™re familiar with Tailscale, youโ€™ll find yourself at ease with NetBird. It acts as a VPN server that handles a WireGuard network on your behalf, significantly reducing complexity. You have the option to self-host or take advantage of their generous free tier on the cloud.
Source: kiranet.org

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than NetBird. It has been mentiond 114 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.

NetBird mentions (19)

  • How I Ditched Datadog and Built a Self-Hosted Monitoring Stack on a $5 VPS
    NetBird creates a WireGuard mesh between your machines. The key feature is Network Routing โ€” one peer acts as a gateway for a whole subnet. So your monitoring stack lives on 172.19.0.0/16, and any connected peer can reach Grafana at http://172.19.0.3:3000 without exposing anything to the internet. - Source: dev.to / 28 days ago
  • Ask HN: Who is hiring? (May 2026)
    NetBird | Berlin, Germany | ONSITE & Remote for some roles | Full-time | https://netbird.io We build open source secure remote access for teams and infrastructure. 25k+ stars, Series A. Our mission: make secure connectivity simple and accessible for everyone. Looking for people excited about the product, startup pace, and growth. - Source: Hacker News / 2 months ago
  • Budget Friendly ISO27001/SOC2 Compliant Environments for AWS
    Some Cloud Native tools have appeared to replace both SSH access and VPNs, among them it is worth mentioning Netbird and Teleport. - Source: dev.to / 4 months ago
  • Tailscale Peer Relays is now generally available
    Https://netbird.io/ is open source, with a freemium hosted option. Works for us and I find it easier to configure than tailscale for routing rules. - Source: Hacker News / 5 months ago
  • Tailscale Peer Relays is now generally available
    > Also, sometimes it seems like I get rate limited on Tailscale. As I understand it if everything is working properly you should end up with a peer to peer wireguard connection after initial connection using tailscales infrastructure. ie, there should be nothing to rate limit. There are exceptions depending on your network environment where you need one of the relays noted in this post. As for opensource... - Source: Hacker News / 5 months ago
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Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing NetBird and Matplotlib, you can also consider the following products

TailScale - Private networks made easy Connect all your devices using WireGuard, without the hassle. Tailscale makes it as easy as installing an app and signing in.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

ZeroTier - Extremely simple P2P Encrypted VPN

NumPy - NumPy is the fundamental package for scientific computing with Python

WireGuard - Fast, Modern, Secure VPN Tunnel

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.