Software Alternatives, Accelerators & Startups

NumPy VS Evernote

Compare NumPy VS Evernote and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Evernote logo Evernote

Bring your life's work together in one digital workspace. Evernote is the place to collect inspirational ideas, write meaningful words, and move your important projects forward.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Evernote Landing page
    Landing page //
    2023-10-18

Evernote

$ Details
-
Release Date
2000 January
Startup details
Country
United States
State
California
Founder(s)
Phil Libin
Employees
250 - 499

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.

Evernote features and specs

  • Cross-Platform Compatibility
    Evernote is available on multiple platforms including Windows, macOS, Android, and iOS, ensuring that users can access their notes from any device.
  • Organizational Tools
    Evernote provides a range of organizational tools such as notebooks, tags, and a powerful search feature to help users keep their notes well-organized.
  • Web Clipper
    The Evernote Web Clipper allows users to save web pages, articles, and screenshots directly to their Evernote account, making it easier to gather and organize online resources.
  • Collaboration Features
    Evernote supports collaboration, enabling users to share notes and notebooks with others, which is useful for team projects and group work.
  • Integration with Other Apps
    Evernote integrates with a variety of third-party applications such as Google Drive, Outlook, and Slack, enhancing its functionality and ease of use.

Possible disadvantages of Evernote

  • Cost
    Evernote offers a free version, but its premium features and higher storage limits come at a subscription cost, which may be a drawback for budget-conscious users.
  • Learning Curve
    New users may find Evernote's extensive features and options overwhelming at first, requiring some time to fully understand and utilize all its capabilities.
  • Syncing Issues
    Some users have reported occasional syncing problems, where changes made on one device are not immediately reflected on others.
  • Limited Offline Access
    The ability to access notes offline is restricted in the free version, which may be inconvenient for users who often work without internet access.
  • Privacy Concerns
    There have been concerns about the privacy and security of the data stored in Evernote, as it involves uploading personal information to their servers.

NumPy videos

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

Evernote videos

10 Reasons why You Should Be Using Evernote in 2019

More videos:

  • Review - スキャンアプリ Evernote Scannable Review
  • Review - Evernote Food app review for iPhone 4s
  • Review - Best Handwriting Note Taking App to use with Evernote 2018 | Penultimate vs ZoomNotes vs Noteshelf2
  • Review - Skitch Screen Capture & Annotation, from Evernote for Everyone
  • Review - how I get organized with Evernote
  • Tutorial - How to Use Skitch for Screenshots for Internet Marketing & More
  • Tutorial - iPadagogy - App Review - Skitch Video Tutorial

Category Popularity

0-100% (relative to NumPy and Evernote)
Data Science And Machine Learning
Note Taking
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Task Management
0 0%
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 NumPy and Evernote

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.
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

Evernote Reviews

  1. Olivia_Sass
    Simple and efficient app

    The app helps keep everything organized and is really easy to use. I’ve been using it for a while now, and I really like it.

  2. Boyd Richardson
    · Writer at SE ·

    If you're someone who likes to keep everything in order and easily accessible, you'll want to check out the Evernote app. This app is designed to help you keep track of all your notes, ideas, and to-do lists in one place, and it does so with style.

    From my experience using the app, I found that it's incredibly user-friendly and has a sleek design. You can easily create notes, organize them into notebooks, and even add tags to make it easier to find what you're looking for later on. Whether you're a student trying to keep track of your class notes or a busy professional juggling multiple projects, Evernote has you covered.

    🏁 Competitors: Notion
    👍 Pros:    High capabilities|Supports multiple languages|Syncs|Easy integration
    👎 Cons:    Free plan with limited options|Syncing issue
  3. Deepak Kumar
    · Technical Reviewer at Screenshot Chrome Extensions ·
    Intuitive Software

    The thing that I personally like about Evernote is that before I have used word as my note taking application, than on my smartphone I have had used Google Keep and so my notes were just unorganized mess. But with Evernote now I can have my notes at one place and unified. Also the fact that I can log to another device and my notes are "just there" is really nice. And also I like graphics user interface of Evernote.

    👍 Pros:    Easy to use|Saves a ton of time|Sync across all my devices|Chrome extension available
    👎 Cons:    Few webpages takes time to load|Paid plan to use on multiple devices

11 Best Google Keeps Alternatives for 2024
It depends on your needs. Evernote offers advanced note-taking features and organization, suitable for complex tasks. Google Keep is simpler and integrates well with other Google services, making it ideal for basic note-taking and quick reminders.
Source: upbase.io
20 Obsidian Alternatives: Top Note-Taking Tools to Consider
Evernote is a note-taking tool with fantastic web-clipping capabilities. This handy app lets you clip, save, and sync notes from anywhere on the web to all your devices.
Source: clickup.com
The 6 best note-taking apps in 2024
Not only is Joplin the best open source note-taking app on our list, but it's also the best free Evernote alternative too. For a number of reasons I'll explore below, I don't feel Evernote merits a spot on this list right now; however, because Evernote has been such a staple of the note-taking app space, most other apps compete by trying to be different. OneNote is awesome,...
Source: zapier.com
The best note-taking apps for collecting your thoughts and data
That being said, the paid version of Evernote still does what it does well, especially if you’re one of those users who has stuck with it for a while. The basic look and feel of the web app hasn’t changed much, although the homepage now shows recent notes, a scratch pad, and recently captured websites. (The homepage can be personalized with other widgets if you have a paid...
15 Best Free Daily Planner Apps for 2024 (Features, Price)
Capability to store handwritten notes. Integration with apps like Slack, Outlook, etc., for seamless collaboration. Ability to scribble notes and create list templates. Offline usability for added convenience. Pricing: Evernote offers a free plan, and its paid plan starts at $7.99/user per month.
Source: affine.pro

Social recommendations and mentions

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

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 / 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

Evernote mentions (66)

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What are some alternatives?

When comparing NumPy and Evernote, 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.

OneNote - Get the OneNote app for free on your tablet, phone, and computer, so you can capture your ideas and to-do lists in one place wherever you are. Or try OneNote with Office for free.

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

Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.

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

Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.