Software Alternatives, Accelerators & Startups
Register | Login

goormIDE VS NumPy

Compare goormIDE 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

goormIDE logo goormIDE

goormIDE is a cloud IDE service to maximize the productivity for developers and teams. Develop and deploy your service with powerful collaborative features, anytime and anywhere.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • goormIDE Landing page
    Landing page //
    2022-07-08
  • NumPy Landing page
    Landing page //
    2023-05-13

goormIDE features and specs

  • Cloud-Based Convenience
    As a cloud-based IDE, goormIDE can be accessed from anywhere with an internet connection, eliminating the need for local installations and configurations.
  • Collaboration Features
    goormIDE offers robust collaboration tools, allowing multiple developers to work on the same project in real-time, which is highly beneficial for team projects.
  • Integrated Development Tools
    It comes with a variety of integrated development tools such as version control (Git), terminals, and debugging tools, which streamline the development process.
  • Language Support
    goormIDE supports multiple programming languages, making it versatile for developers working on different types of projects.
  • Ease of Setup
    Setting up a new development environment in goormIDE is quick and user-friendly, which is particularly useful for beginners or those looking to start coding immediately.

Possible disadvantages of goormIDE

  • Performance Issues
    Being a cloud-based solution, goormIDE's performance can be impacted by internet connectivity and may experience lag compared to local IDEs.
  • Pricing
    While there is a free tier, advanced features and higher resource limits require a paid subscription, which might not be ideal for all users.
  • Limited Offline Access
    goormIDE requires an internet connection to access your projects, limiting offline development capabilities.
  • Resource Limitations
    The free tier comes with limitations on resources (CPU, memory, storage), which may not be sufficient for larger or more resource-intensive projects.
  • Learning Curve
    Although it is user-friendly, new users might still face a learning curve in getting accustomed to the cloud-based environment and its features.

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 goormIDE

Overall verdict

  • Overall, goormIDE is a good choice for developers looking for a flexible and feature-rich cloud IDE. Its balance between usability and functionality makes it an attractive option for both beginners and more experienced developers.

Why this product is good

  • GoormIDE is a cloud-based integrated development environment that offers an intuitive interface and powerful features, making it suitable for a wide range of programming tasks. It provides support for multiple programming languages, real-time collaboration, and a fully-configured development environment that can save users time from setting up their local dev environment. Additionally, its ability to access your projects from anywhere due to its cloud nature adds a layer of convenience for developers who work remotely or on-the-go.

Recommended for

  • Developers who prefer cloud-based solutions
  • Teams that require real-time collaboration on coding projects
  • Students and learners who want an accessible and versatile development platform
  • Developers working on projects that need quick setup and deployment

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.

goormIDE videos

+ Add

MySQL and MongoDB Easy Setup GoormIDE

More videos:

  • Tutorial - Preview HTML File with GoormIDE and SimpleHTTPServer
  • Demo - goormIDE Demo
  • Review - goormIDE + MongoDB Atlas = c9.io alternative
  • Tutorial - How to Register a Preview URL in GoormIDE

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 goormIDE and NumPy)

goormIDE

NumPy

IDE
100 100%
IDE
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Text Editors
100 100%
Text Editors
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using goormIDE 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 goormIDE and NumPy

goormIDE Reviews

We have no reviews of goormIDE yet.
Be the first one to post

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, NumPy seems to be a lot more popular than goormIDE. While we know about 119 links to NumPy, we've tracked only 8 mentions of goormIDE. 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.

goormIDE mentions (8)

  • free-for.dev
    Ide.goorm.io goormIDE is full IDE on cloud. multi-language support, linux-based container via the fully-featured web-based terminal, port forwarding, custom url, real-time collaboration and chat, share link, Git/Subversion support. There are many more features (free tier includes 1GB RAM and 10GB Storage per container, 5 Container slot). - Source: dev.to / over 2 years ago
  • Online IDE for Rails?
    🤯 this is sick, I had no idea, I'd been playing around in goorm (https://ide.goorm.io/) but it's super slow tho. Source: over 2 years ago
  • Password Login system with Ruby on Rails
    First, we will use GoormIDE. You can change the language if you want. Please register and login. Source: about 3 years ago
  • goormIDE Notice of service access restrictions due to DDoS attacks.
    - 03:26 am : ide.goorm.io ide-run.goorm.io connection failure. Source: over 3 years ago
  • aoe 2 auto reply bot [fixed] 11
    I believe you can do the same thing with GoormIDE, without a limit on traffic, but it may require more knowledge about web services than Heroku, and also has worse documentation. Source: over 3 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 / 5 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 / 9 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 goormIDE and NumPy, you can also consider the following products

Codeanywhere - Codeanywhere is a complete toolset for web development. Enabling you to edit, collaborate and run your projects from any device.

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

AWS Cloud9 - AWS Cloud9 is a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser.

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

Koding - A new way for developers to work.

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

Loading...