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Atas VS NumPy

Compare Atas 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
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Atas logo Atas

ATAS professional trading and analytic platform. ะTAS analysis program: time&sales (time and sales), smart tape, atas allows to analyze point volumes

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Atas Landing page
    Landing page //
    2023-09-16
  • NumPy Landing page
    Landing page //
    2023-05-13

Atas features and specs

  • Advanced Charting Tools
    Atas provides a wide range of advanced charting tools, which allows traders to analyze market trends and make informed decisions based on technical analysis.
  • Order Flow Analysis
    The platform offers comprehensive order flow analysis features, helping traders understand market depth and the behavior of large market participants.
  • Customization
    Traders can customize their interface and tools according to their preferences, enhancing the trading experience and efficiency.
  • Real-Time Data
    Atas provides real-time market data, ensuring that traders have the latest information available to make timely trading decisions.
  • User Community
    A supportive user community where traders can exchange ideas, share strategies, and receive support from other users.

Possible disadvantages of Atas

  • Cost
    The pricing for Atas may be high for beginner traders or those with a limited budget, as it is typically aimed at professional traders.
  • Learning Curve
    New users may find the platform complex and overwhelming at first, given the wide range of features and tools available.
  • System Requirements
    Due to its advanced features, Atas may require a powerful computer setup, which not all users may have readily available.
  • Limited Broker Integration
    Atas may not support as many brokers as other trading platforms, which could limit its accessibility for some users.
  • Subscription Model
    The platform operates on a subscription model, which means ongoing costs for users as opposed to a one-time purchase.

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 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.

Atas videos

+ Add

ATAS Order Flow Trading Software Review 2020 // Platform Test

More videos:

  • Tutorial - How to start Order Flow Trading with ATAS Software // Tutorial for beginners
  • Review - Classic Market Profile (TPO). Review of the updated profile in ATAS Beta.

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 Atas and NumPy)

Atas

NumPy

Trading
100 100%
Trading
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Finance
100 100%
Finance
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Atas and NumPy. For example, how are they different and which one is better?
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Reviews

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

Atas Reviews

We have no reviews of Atas yet.
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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 122 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.

Atas mentions (0)

We have not tracked any mentions of Atas yet. Tracking of Atas recommendations started around Jun 2021.

NumPy mentions (122)

View more

What are some alternatives?

When comparing Atas and NumPy, you can also consider the following products

TradingView - The best charting tool for crypto and stocks

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

GoCharting - GoCharting is a modern financial analytics platform offering world-class trading and charting experience.

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

NVSTly - A free, interactive social investing platform where retail traders can track, share, or copy trades with extensive insights on every position & in-depth performance stats. Discover & follow top ranked investors or compete against the best.

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

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