Software Alternatives, Accelerators & Startups
Register | Login

draw.io VS NumPy

Compare draw.io VS NumPy and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

draw.io logo draw.io

Online diagramming application

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • draw.io Landing page
    Landing page //
    2023-07-20
  • NumPy Landing page
    Landing page //
    2023-05-13

draw.io features and specs

  • Free
    draw.io offers a free version with extensive features, making it accessible to individuals and small teams without requiring financial investment.
  • User-Friendly Interface
    The platform provides an intuitive drag-and-drop interface that is easy to use for both beginners and advanced users.
  • Collaboration
    It supports real-time collaboration, allowing multiple users to work on the same diagram simultaneously.
  • Integrations
    It integrates seamlessly with popular cloud storage services like Google Drive, OneDrive, and Dropbox, facilitating easy sharing and saving.
  • Versatility
    Draw.io supports various diagram types including flowcharts, UML diagrams, network diagrams, and more, catering to a wide range of use cases.
  • No Installation Required
    As a web-based tool, draw.io does not require any installation, making it accessible from any device with an internet connection.
  • Customizability
    Users can customize shapes, styles, and templates to fit their specific needs, enhancing the utility of the tool.

Possible disadvantages of draw.io

  • Performance Issues
    Users may experience lag or performance issues, especially when working with very large diagrams or on less powerful hardware.
  • Limited Advanced Features
    While suitable for most general uses, draw.io might lack some advanced features available in premium diagramming tools like Visio.
  • Cloud Dependency
    As a cloud-based tool, draw.io requires a stable internet connection for optimal performance, potentially limiting its use in areas with poor connectivity.
  • Privacy Concerns
    Using a cloud service can raise privacy concerns, especially when dealing with sensitive or proprietary information.
  • Learning Curve
    Although user-friendly, becoming proficient with all features and integrations can take some time for new users.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of draw.io

Overall verdict

  • Yes, draw.io is widely regarded as a good tool for creating diagrams due to its versatility, ease of use, and comprehensive feature set. It is a reliable choice for both individual users and teams requiring collaborative diagramming capabilities.

Why this product is good

  • Draw.io is considered a good tool because it is user-friendly, offers a wide range of features for creating diagrams, and is available as both a web-based application and a desktop app. It supports multiple platforms and a variety of diagram types, including flowcharts, network diagrams, UML, and more. The tool is often praised for its intuitive interface, easy integration with platforms like Google Drive and Microsoft OneDrive, and the fact that it offers a free version without significant limitations.

Recommended for

  • Business professionals who need to create process flows and organizational charts.
  • Software developers and engineers designing network architecture, UML diagrams, or system designs.
  • Students and educators preparing educational materials or collaborative projects.
  • Project managers and teams who need to outline project workflows and timelines.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

draw.io videos

+ Add

draw.io - Draw diagrams in the cloud or as an AppImage

More videos:

  • Tutorial - Draw.io Tutorial - Getting Started || How to use Draw.io
  • Review - Creating Entity Relationship Diagrams using Draw.io
  • Review - Using Layers, an advanced draw.io feature
  • Review - Draw.io (aka diagrams.net) Basics
  • Review - Better, faster, stronger; draw.io introduces AI-powered Smart Templates

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to draw.io and NumPy)

draw.io

NumPy

Diagrams
100 100%
Diagrams
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Flowcharts
100 100%
Flowcharts
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using draw.io and NumPy. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare draw.io and NumPy

draw.io Reviews

5 great diagramming tools for enterprise and software architects
Where do you even begin with Diagrams.net, formerly known as Draw.io? Besides being free of charge, it also has a low learning curve, so anyone can quickly start creating diagrams or whiteboards. Many people use Diagrams.net for diagramming business processes, data flows, and networks. You can also modify elements without having to change the entire diagram with this tool.
Source: www.redhat.com
Software Diagrams - Plant UML vs Mermaid
There are many generic diagramming tools that can be used to design software such as diagrams.net (formerly draw.io), Miro, or Lucid Charts. These generic tools do allow a lot of flexibility but end up costing you more time than you intended to align all boxes and arrows and to get the colour schemes just right.
Source: www.dandoescode.com
10 Best Visio Alternatives for Cost Effective Diagramming [2022]
Price may vary from time to time as Draw.io does some promotions and might give discounts as well. You should check their website for the latest prices. Also, the pricing depends upon the features you are taking it for. So, it has very distinctive processing. You’ll get all your options in the right column and the drawing and editing options you’ll get in the space provided...
Source: todaystechworld.com
Top 10 Alternatives to Draw.io / Diagrams.net - Flowchart Maker Reviews
Drawio is a free online software for creating flowcharts and process maps. It is an easy way to create professional diagrams and share them with your team, your clients, or the whole world. Drawio's user-friendly interface lets you drag and drop shapes from our library onto the canvas and format them using our comprehensive set of tools. Drawing charts has never been easier!...
Source: www.zenflowchart.com
Best 8 Free Visual Paradigm Alternatives in 2022
Another cost-efficient option as an alternative to Visual Paradigm is Draw.io. This is an online flowchart maker that you can use for free. Draw.io is absolutely free to use so you won’t have to worry about spending any amount. The only drawback that we saw upon reviewing the tool though, is the lack of templates. It is purely made for flowchart creation so the interface...
Source: gitmind.com

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, draw.io should be more popular than NumPy. It has been mentiond 716 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.

draw.io mentions (716)

  • Creating Diagrams and Databases with Online Tools
    Draw.io (available at drawio.com) is an online and offline tool that lets you create various types of diagrams, including:. - Source: dev.to / 4 months ago
  • Random VS Code finds
    During my college days I used to use Drawio to draw wireframes and flowcharts. When I found that there is a VS Code extension that allows me to do it in the IDE it was a no brainer. I have found it is also useful whenever I am screen sharing to use it as a whiteboard during meetings. All you have to do is create a new file with the .drawio extension and you're off to the races. You can then export to .svg and .png... - Source: dev.to / 8 months ago
  • Reactor controller
    Glad you like it! :D Feel free to reuse/edit it for the Steam page if you want. Also happy to send you the draw.io file if you'd like :). Source: about 2 years ago
  • Note taking app
    Shraing, LDAP, sync, reminders are all possible. draw.io can be integrated by an app in nextcloud. Also, there is "Deck" which is a Kanban board for Nextcloud. Source: about 2 years ago
  • Diagramming on Note 2 Air+
    I've been using draw.io web to diagram, but I can't find it on android... Is there any good alternatives? Source: about 2 years ago
View more

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing draw.io and NumPy, you can also consider the following products

LucidChart - LucidChart is the missing link in online productivity suites. LucidChart allows users to create, collaborate on, and publish attractive flowcharts and other diagrams from a web browser.

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

yEd - yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.

OpenCV - OpenCV is the world's biggest computer vision library

PlantUML - PlantUML is an open-source tool that uses simple textual descriptions to draw UML diagrams.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Loading...