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Quicken VS NumPy

Compare Quicken VS NumPy and see what are their differences

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Quicken logo Quicken

Stay in control of your monthly cash flows, budgets, and expenditures. Quicken provides a navigable interface where you can organize your debit, credit, and savings, and build good habits accordingly.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Quicken Landing page
    Landing page //
    2023-07-12
  • NumPy Landing page
    Landing page //
    2023-05-13

Quicken features and specs

  • Comprehensive Financial Management
    Quicken provides extensive tools for managing various aspects of personal finance, including budgeting, investment tracking, expense categorization, and bill management.
  • Investment Tracking
    Users can track their investments with detailed insights into portfolio performance, asset allocation, and market value, making it easier to manage investments.
  • Bill Pay Service
    Quicken allows users to link their bills, so they can be paid directly from the platform, simplifying monthly financial obligations.
  • Mobile App
    A complementary mobile app allows users to monitor their finances on-the-go, ensuring real-time updates on their financial status.
  • Robust Reporting
    The software offers a wide range of detailed financial reports that help users analyze their spending patterns, net worth, and budgeting efficacy over time.

Possible disadvantages of Quicken

  • Subscription Cost
    Quicken operates on a subscription model, which can be considered expensive by some users, especially compared to free alternatives.
  • Learning Curve
    Due to its comprehensive features, it can be overwhelming for new users to learn how to navigate and effectively use all aspects of the software.
  • Customer Support
    Several users have reported that the quality of customer support can be inconsistent, leading to frustration when encountering issues.
  • Occasional Sync Issues
    There are sometimes problems with syncing bank accounts and transactions, which could lead to inaccuracies in financial data.
  • Platform Dependency
    Quicken is heavily reliant on an internet connection and its own infrastructure, which could cause issues if there's downtime or other service disruptions.

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.

Quicken videos

+ Add

Quicken 2018-2019 Review - Deluxe, Premier, Home, Business & Rental Property

More videos:

  • Review - Everything you need to know about your Quicken Subscription
  • Review - Quicken for Mac 2019 Review - A Big Improvement With The Mobile App

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 Quicken and NumPy)

Quicken

NumPy

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

User comments

Share your experience with using Quicken 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 Quicken and NumPy

Quicken Reviews

10 Best Mint Alternatives (Free & Paid)
I began using Quicken back in the 1990s. It's changed a lot over the years. Today, it is a subscription-based financial planning software package. It can run on both PCs and Macs, although there are some differences between the two versions. Quicken Online is no longer available.
Source: robberger.com
The 10 Best Alternatives to GnuCash for Managing Your Finances
Quicken is a comprehensive personal finance software and GnuCash alternative for Mac users designed to help users manage their finances, including budgeting, investment tracking, and bill payments. Available in both desktop and cloud versions, Quicken offers a range of features tailored for individuals and small businesses.
Source: www.findmycrm.com
Quicken Alternatives: Top 5 Financial Tools for Efficient Money Management
There are several reasons to consider Quicken alternatives. Some users may find Quicken outdated or lacking in features compared to newer platforms. Additionally, Quicken has shifted to a subscription-based pricing model, which might not appeal to everyone. Other personal finance software may offer unique features, improved user experience, or cost-free options.
Source: finally.com
Best personal finance software of 2024
HomeBank will appeal if you work on multiple platforms, or don't use Windows by default. Available for Windows, macOS and Linux (there's also an Android app in development) HomeBank can be installed normally or as a portable app, and it makes the topic of personal finance easily accessible. If you've been using another program – such as Quicken or Microsoft Money – to manage...
Source: www.techradar.com
11 Best Quicken Alternatives in 2021 (#1 is Free)
Quicken was once the go-to budgeting tool. I used it when it was first released in the 1980s. Today, it’s been eclipsed by apps that enable you to manage every aspect of your finances, often for free. Here are the best Quicken alternatives to consider in 2021.
Source: robberger.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 should be more popular than Quicken. 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.

Quicken mentions (12)

  • Does quicken still offer a DESKTOP version?
    Are you able to log into your account on quicken.com. Source: almost 2 years ago
  • Quicken Win still gives error CC-503 after 4 hours online with Tier 3 Support
    1) log off quicken.com .... edit, preferences, quickenid & cloud accounts. Sign on as different user. Then sign back on with the same account. Source: about 2 years ago
  • So now we need to sign in to quicken.com everyday?
    I'm on Quicken for Windows Release 48.9 and Build 27.1.48.9. Haven't been asked to sign in to quicken.com for quite awhile. I've had no issues or crashes with the release. You may want to do a file validate or super validate. Source: about 2 years ago
  • Quicken 2017 Woes - KMA White Screen to Contact Quicken for Assistance
    There are a couple threads on here and on quicken.com that discuss similar problems, but I have reviewed them and tried those solutions with no joy. Source: over 2 years ago
  • Multiple devices
    I just checked the quicken.com website. I'm not sure because I've never tried it, but you probably get a number of devices to install it on. It gives me links to both Windows and Mac versions, but I only have installed the Windows. Source: over 2 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 / 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 / 8 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 / 9 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 / 9 months ago
View more

What are some alternatives?

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

Mint - Free personal finance software to assist you to manage your money, financial planning, and budget planning tools. Achieve your financial goals with Mint.

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

YNAB - Working hard with nothing to show for it? Use your money more efficiently and control your spending and saving with the YNAB app.

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

GnuCash - A personal and small-business financial-accounting software, licensed under GNU/GPL and available for Linux, Windows, Mac OS X, BSD, and Solaris.

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

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