Software Alternatives, Accelerators & Startups
Register | Login

SciPy VS quantra

Compare SciPy VS quantra and see what are their differences

e.pn
Virtual cards for any advertising accounts and personal purchases featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

SciPy logo SciPy

SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. 

quantra logo quantra

A public API for quantitative finance made with Quantlib
  • SciPy Landing page
    Landing page //
    2023-07-26
  • quantra Landing page
    Landing page //
    2021-10-06

SciPy videos

+ Add

Numerical Computing With NumPy Tutorial | SciPy 2020 | Eric Olsen

More videos:

  • Tutorial - Land on Vector Spaces: Practical Linear Algebra with Python | SciPy 2019 Tutorial | L Barba, T Wang

quantra videos

+ Add

Become a successful Quant Trader at Quantra

More videos:

  • Review - Create a Trading Strategy in 30 minutes | Python for Finance | Quantra by QuantInsti
  • Review - Sneak Peek inside a trading firm | Why Python? | iRage HFT Firm | Quantra by QuantInsti

Category Popularity

0-100% (relative to SciPy and quantra)

SciPy

quantra

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

User comments

Share your experience with using SciPy and quantra. 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 SciPy and quantra

SciPy 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
SciPy is primarily used for mathematical and scientific computations, but sometimes it can also be used for basic image manipulation and processing tasks using the submodule scipy.ndimage.At the end of the day, images are just multidimensional arrays, SciPy provides a set of functions that are used to operate n-dimensional Numpy operations. SciPy provides some basic image...
Source: www.analyticsvidhya.com

quantra Reviews

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

Social recommendations and mentions

Based on our record, SciPy seems to be more popular. It has been mentiond 16 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.

SciPy mentions (16)

  • Video Generation with Python
    Python has become a popular programming language for different applications, including data science, artificial intelligence, and web development. But, did you know creating and rendering fully customized videos with Python is also possible? At Stack Builders, we have successfully used Python libraries such as MoviePy, SciPy, and ImageMagick to generate videos with animations, text, and images. In this article, we... - Source: dev.to / 3 months ago
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 8 months ago
  • Understanding Cosine Similarity in Python with Scikit-Learn
    SciPy: a library used for scientific and technical computing. It has a function that can calculate the cosine distance, which equals 1 minus the cosine similarity. - Source: dev.to / about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
  • 5 Open-Source Deep Learning Python Tools for Imaging Super-Resolution (Article)
    I mean scientific-grade Python libraries like https://pytorch.org https://numpy.org https://scipy.org etc, which exist for about 10 years (your comment may be ok in 2001, but now it's a bit outdated;). Source: over 1 year ago
View more

quantra mentions (0)

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

What are some alternatives?

When comparing SciPy and quantra, you can also consider the following products

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

QuantConnect - QuantConnect provides a free algorithm backtesting tool and financial data so engineers can design algorithmic trading strategies. We are democratizing algorithm trading technology to empower investors.

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

Quantopian - Your algorithmic investing platform

Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

CloudQuant - Crowd based algorithmic trading development and backtesing for stock market trading.

Loading...