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Aptana Studio VS NumPy

Compare Aptana Studio VS NumPy and see what are their differences

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Aptana Studio logo Aptana Studio

The world’s most powerful open-source web development IDE just got better. Rebuilt from the ground-up. It's now much faster, customizable and includes new features to help you be more productive.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Aptana Studio Landing page
    Landing page //
    2023-04-19
  • NumPy Landing page
    Landing page //
    2023-05-13

Aptana Studio features and specs

  • Integrated Development Environment (IDE)
    Aptana Studio offers a comprehensive IDE specifically designed for web development with built-in support for HTML, CSS, JavaScript, and other web technologies.
  • Open Source
    Aptana Studio is open source, which means it's free to use and the community can contribute to its development and improvement.
  • Language Support
    It supports various programming languages including HTML, CSS, JavaScript, PHP, Ruby, and Python, making it versatile for different types of projects.
  • Git Integration
    Seamless integration with Git allows developers to manage their code repositories easily from within the IDE.
  • Debugger Tools
    Built-in debugging tools help developers find and fix issues in their code more efficiently.
  • Customization
    It offers a high degree of customization with various plugins available, allowing developers to tailor the IDE to their specific needs.

Possible disadvantages of Aptana Studio

  • Performance Issues
    Some users report that Aptana Studio can be slow and resource-intensive, particularly when working on larger projects.
  • Outdated UI
    The user interface of Aptana Studio is considered by some to be outdated compared to more modern IDEs.
  • Documentation
    The documentation is sometimes criticized for being incomplete or not as comprehensive as it could be, making it harder for new users to get started.
  • Limited Community Support
    While it is open source, the community around Aptana Studio is smaller compared to other popular IDEs, which can limit available support and resources.
  • Frequent Updates
    Some users might find the frequent updates to be disruptive, especially if they introduce new bugs or deprecate existing 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 Aptana Studio

Overall verdict

  • Aptana Studio is a solid choice for web developers seeking a free and open-source IDE. Its comprehensive feature set and support for multiple programming languages make it a viable option for both beginners and experienced developers. However, as it is based on Eclipse, it may feel heavy or slow on some systems compared to lighter alternatives. Additionally, the community support and updates may not be as frequent compared to more popular IDEs. Overall, Aptana Studio is worth considering for users who prefer extensibility and open-source options.

Why this product is good

  • Aptana Studio is a robust IDE primarily designed for web development. It supports a wide range of programming languages including HTML, CSS, JavaScript, and PHP, among others. Aptana Studio is built on Eclipse, which provides a strong foundation for its features, such as code assist, integrated debugger, terminal, and Git integration. The IDE is open-source, which allows developers to customize and extend its functionality according to their needs. Its built-in support for various web technologies and flexibility make it a valuable tool for web developers.

Recommended for

    Aptana Studio is ideal for web developers looking for an open-source, integrated development environment with broad language support and customization options. It is particularly recommended for developers who work on multiple web technologies and prefer having a one-stop solution for their coding, version control, and debugging needs. It is also suitable for those who appreciate the extensibility provided by Eclipse-based IDEs.

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.

Aptana Studio videos

+ Add

Using Aptana Studio 3 for the First Time

More videos:

  • Review - Quick Tour of Aptana Studio 3
  • Review - Aptana Studio Web Development IDE Overview

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 Aptana Studio and NumPy)

Aptana Studio

NumPy

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

User comments

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Reviews

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

Aptana Studio Reviews

13 Best XAMPP Alternatives
Despite its name, you don’t need Aptana Studio installed on your computer—Aptana Cloud is just an extension. With limited support, prices start at $49 per month; more expensive plans come with phone and chat support and more system resources. Aptana Cloud could be an excellent place to start if you want to build cloud-based applications but are unsure where to begin.
Source: thetechtian.com
7 open source alternatives to Dreamweaver
Aptana Studio is an "open source development tool for the open web" which, in practice, means it's more of an advanced IDE specializing in web development. Based on the open source Eclipse project, Aptana Studio features tools for assisting in HTML and CSS authoring, including code coloring and completion, debugging, and outlining of documents. Its main selling point is its...
Source: opensource.com
What’s the Best Ruby IDE for Web Development in 2018
“Aptana saves my time and organizes my development environment in a single windows,” one Ruby on Rails developer said in an Aptana Studio review. “Aptana really helps me during the development with it's amazing features like git integration, deployment wizard, Capristano support, integrated debugger and built-in terminal.”
Source: learn.g2crowd.com
Ruby IDE: The 9 Best IDEs for Ruby on Rails Development
VIM is your perfect option as a Linux Ruby IDE cum editor. Initial configuration and setup can sound like a task but once up and running, it is nothing short of RubyMine, Sublime Text 3 or Aptana Studio.
Source: noeticforce.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, NumPy seems to be more popular. It has been mentiond 119 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.

Aptana Studio mentions (0)

We have not tracked any mentions of Aptana Studio yet. Tracking of Aptana Studio recommendations started around Mar 2021.

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 Aptana Studio and NumPy, you can also consider the following products

Netbeans - NetBeans IDE 7.0. Develop desktop, mobile and web applications with Java, PHP, C/C++ and more. Runs on Windows, Linux, Mac OS X and Solaris. NetBeans IDE is open-source and free.

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

Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

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

Notepad++ - A free source code editor which supports several programming languages running under the MS Windows environment.

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

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