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Snipo.io VS NumPy

Compare Snipo.io VS NumPy and see what are their differences

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Contents:
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  3. » Reviews
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Snipo.io logo Snipo.io

AI Flashcards & Take video notes into Notion in click

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Snipo.io Main
    Main //
    2024-01-16

The best way to take YouTube notes directly to Notion Take YouTube notes, capture screenshots, and sync YouTube playlist with Notion Snipo is the best way to take video notes directly to the Notion pages in click

This extension enables you to: ★ take clickable timestamped YouTube notes ★ capture screenshots on videos and elevate your learning ★ seamless sync YouTube videos with Notion (sync title, chapters, and YouTube playlist) ★ organize your videos into notebooks with index for the playlist in Notion ★ keyboard shortcuts (Speed up and down, seek backward and forward, pause, timestamp note, capture screenshot, etc.) ★ mark as finished on notion page ★ More Tech-friendly than ReClipped and Slid.cc ★ More User-friendly than Askify and Transnote

Snipo is a notebook for online courses, enabling you to learn and study effectively across the web on any platform(Youtube, etc.) to Notion

Compatible with other great extensions, Notion Web Clipper, Save to Notion, Tailored-Notion, and Zorbi.

Snipo is available for free! We're working on Obsidian and Udemy integration and going to launch it in Q1 2023

  • NumPy Landing page
    Landing page //
    2023-05-13

Snipo.io

Website
snipo.io
$ Details
freemium $4.0 / Monthly
Platforms
Google Chrome Edge
Release Date
2022 October
Edit details

NumPy

Website
numpy.org
$ Details
Platforms
-
Release Date
-
Edit details

Snipo.io features and specs

  • Take clickable timestamped YouTube notes
  • Capture screenshots on videos and elevate your learning
  • Seamless sync YouTube videos with Notion (sync title, chapters, and YouTube playlist)
  • Organize your videos into notebooks with index for the playlist in Notion
  • Keyboard shortcuts (Speed up and down, seek backward and forward, pause, timestamp note, capture screenshot, etc.)
  • Mark as finished on notion page

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.

Snipo.io videos

+ Add

Take YouTube video notes into Notion in click | Snipo extension 🔥

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 Snipo.io and NumPy)

Snipo.io

NumPy

Note Taking
100 100%
Note Taking
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Productivity
100 100%
Productivity
0% 0
Data Science Tools
0 0%
Data Science Tools
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 Snipo.io and NumPy

Snipo.io Reviews

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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 a lot more popular than Snipo.io. While we know about 119 links to NumPy, we've tracked only 3 mentions of Snipo.io. 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.

Snipo.io mentions (3)

  • I've made a major update to my extension to take video notes directly to Notion 🚀
    I'm excited to announce that I just released a new update for my extension Snipo for video note-taking directly to Notion! I've put a lot of hard work into improving the functionality and user experience, and I'm eager to share the latest features with you. Source: about 2 years ago
  • I've built a Notion extension to take video notes from YouTube to Notion in one click 🚀
    Yes, it is currently restricted by YouTube and Notion on the extension side. You can block access on the browser side, too: https://workspacetips.io/tips/chrome/control-which-sites-your-chrome-extensions-can-access But please don't block https://snipo.io/ domain because it can have an impact on the authorization. I collect data for analytics(mixpanel) to improve the extension's content, features, and overall... Source: over 2 years ago
  • I've built a Notion extension to take video notes from YouTube to Notion in one click 🚀
    I've built a Notion extension to take video notes from YouTube to Notion in one click. It's called Snipo. I've created a short video tutorial to show in action: https://www.youtube.com/watch?v=eb9AK-zzKXc It already has more 15 000 views. Source: over 2 years ago

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 / 3 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 Snipo.io and NumPy, you can also consider the following products

Beastnotes - A notebook for online courses

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

StudyCards Ai - Effortlessly create flashcards from your PDFs with Study Cards AI and import directly to Anki (.apkg file)

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

Transnote Beta - Make and share video notes by timestamps

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

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