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NumPy VS Plaid

Compare NumPy VS Plaid 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

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Plaid logo Plaid

Infrastructure that powers financial technology by enabling applications to connect with users' bank accounts.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Plaid Landing page
    Landing page //
    2023-01-12

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.

Plaid features and specs

  • Extensive Coverage
    Plaid provides connectivity to a vast range of financial institutions, making it easier for users to link their bank accounts and financial data seamlessly.
  • API Integration
    Plaid offers robust and well-documented APIs, which simplifies the process for developers to integrate Plaid services into their applications.
  • Security
    Plaid employs advanced security measures, including encryption and secure connections, to protect user financial data.
  • User Experience
    The user interface and experience provided by Plaid are streamlined and user-friendly, improving overall satisfaction.
  • Speed and Reliability
    Plaid delivers fast and reliable services, minimizing downtime and ensuring swift data retrieval and transactions.

Possible disadvantages of Plaid

  • Cost
    Plaid can be expensive for small businesses and startups, given its pricing model which may include costs per connection or per API call.
  • Geographical Limitations
    Although Plaid has a broad range of financial institution connections, its coverage can be limited in some regions outside major markets like the US and Europe.
  • Data Privacy Concerns
    There are ongoing debates regarding the privacy of user data, as users need to share sensitive financial information to use Plaid's services.
  • Complexity of Setup
    While the APIs are well-documented, initial setup and integration can be complex and time-consuming, particularly for those who are not familiar with financial APIs.
  • Customer Support
    Some users have reported issues with Plaid's customer support, indicating that response times and resolutions can be slow.

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.

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

Plaid videos

+ Add

Plaid - Polymer (Album Review)

More videos:

  • Review - BBC x Adidas PHARRELL Human Race NMD Trail Plaid Review & On Feet
  • Review - Iron Clays Poker Chips and Plaid Deck Review - Poker Gift Guide

Category Popularity

0-100% (relative to NumPy and Plaid)

NumPy

Plaid

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Personal Finance
0 0%
Personal Finance
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Other Fin Tech
0 0%
Other Fin Tech
100% 100

User comments

Share your experience with using NumPy and Plaid. 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 NumPy and Plaid

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

Plaid Reviews

Top 6 Open Banking API Providers to Consider in 2025 [Updated]
Yapily and Truelayer offer robust, easy-to-integrate solutions for businesses looking for scalability. Plaid excels in North America, providing extensive financial data aggregation, while Stripe Connect offers a global reach, though itโ€™s more focused on multi-party transactions. Saltedge remains a solid option for businesses requiring strong compliance and secure data...
Source: blog.finexer.com
Detailed guide to Top 3 Plaid alternatives
Plaid has earned its reputation as a leader in the Open Banking world, but letโ€™s be honestโ€”itโ€™s not always the best fit for everyone. Depending on your business, you might run into hurdles like limited bank coverage, complex integration processes, or pricing that doesnโ€™t quite add up. If youโ€™re looking for something that offers more flexibility, wider reach, or a more...
Source: blog.finexer.com
Best Income Verification Software in the UK: Top 10
Plaid is a widely recognised income verification software that connects businesses with real-time financial data from bank accounts, payroll providers, and tax systems. While widely used in the US and Europe, Plaid has expanded its open banking integrations in the UK, making it a strong choice for lenders requiring global income verification capabilities.
Source: blog.finexer.com
Top 12 UK Open banking API Providers you must know in 2025
Plaid is a financial technology company that provides a data transfer network, enabling applications to connect with usersโ€™ bank accounts. Operating in the UK and across Europe, Plaid offers solutions that facilitate seamless access to financial data and payment initiation services.
Source: blog.finexer.com
Top 3 Open banking platforms for fintech startups in the UK
Plaid entered the UK market with a decade of experience from its operations in the United States, where it has processed billions of transactions since its founding in 2013 in San Francisco. Their system emphasises enterprise-grade reliability and data aggregation capabilities, particularly in North America, where they maintain market leadership. The platformโ€™s integration...
Source: blog.finexer.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than Plaid. 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.

NumPy mentions (122)

View more

Plaid mentions (78)

  • Can someone's Venmo/PayPal balance be approved to show up in a 3rd party app?
    Oh this is a https://plaid.com/ use case I think. - Source: Hacker News / almost 3 years ago
  • Need help finding simulation business bank accounts + credit cards
    My company made a financial dashboard for small businesses that aggregates information from financial institutions into a simplified view. The problem I need to solve: our only way of showing what it looks like when in use, is by connecting our own bank accounts + credit cards, but of course that exposes our personal info. I'd like to setup a demo account using fake financial data that simulates a real world... Source: almost 3 years ago
  • Need A Solution to Amex Business Credit Card Data
    I have been looking into this and found Plaid, Yodlee, and Flinks. I am not 100% if any of these will work. Source: about 3 years ago
  • (Canada) Does anyone know of an API service that will users to connect with their personal bank and return things like their bank feed?
    Yeah I fully expect to pay, but I am sure there are companies that do this. It's simply reading data, I am not touching anything within the user's bank account. Places like Australia are quite big on open banking I believe, that allows, with proper verification, to access bank account information. I've just found one company plaid.com, it doesn't have all the institutions I was hoping for but the majority of big... Source: about 3 years ago
  • Intuits Mint is garbage this year, need other recs for tracking expenses.
    Switching platforms won't help. Every money visualization app on the market uses plaid to fetch their data, so every app will have the same data quality issues. Source: about 3 years ago
View more

What are some alternatives?

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

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

Verafin - Verafin provides compliance, anti-money laundering, and fraud detection software.

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

QuoteMedia - Financial web tools that allow users to access real-timeโ€‹ stock quotes, with live charts and NASDAQ level 2 data.

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

Digital Insight - Digital Insight provides digital banking solutions to mid-market banks and credit unions.

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