Software Alternatives & Startups

NotchNook VS Thanks (for Python)

Compare NotchNook VS Thanks (for Python) and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

NotchNook logo NotchNook

A whole new way of using your Mac

Thanks (for Python) logo Thanks (for Python)

A Python tool for giving back to the packages we use.
Not present
  • Thanks (for Python) Landing page
    Landing page //
    2023-09-16

Analysis of Thanks (for Python)

Overall verdict

  • Thanks is a lightweight, useful utility for Python developers who want to automatically credit open-source dependencies, making it a good niche tool though not a mainstream necessity.

Why this product is good

  • Automatically generates attribution and license acknowledgments for dependencies used in a project
  • Simple and easy to integrate into existing Python workflows
  • Encourages good open-source citizenship by crediting maintainers and libraries
  • Lightweight tool with minimal setup and configuration required
  • Open-source itself, allowing community contributions and transparency

Recommended for

  • Python developers who want to give proper credit to open-source library maintainers
  • Teams maintaining compliance or attribution requirements for open-source usage
  • Open-source project maintainers looking to foster a culture of appreciation
  • Developers building README or documentation sections crediting dependencies

NotchNook videos

Notchnook Review: UPGRADE your macOS notch (NEW)

More videos:

  • Review - NotchNook: The Ultimate Tool for MacBook Pro Personalization!

Thanks (for Python) videos

No Thanks (for Python) videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to NotchNook and Thanks (for Python))
Productivity
100 100%
0% 0
Crowdfunding
0 0%
100% 100
Mac
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

Share your experience with using NotchNook and Thanks (for Python). For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, NotchNook seems to be more popular. It has been mentiond 2 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.

NotchNook mentions (2)

  • A macOS app that blurs your screen when you slouch
    I love this, but I’d rather have an indicator in the menu bar, an app notification, or maybe a nice flow around the "notch" like NotchNook. (https://lo.cafe/notchnook) Can't really afford to play with an app that would have such an obvious hit on productivity and mental clarity. - Source: Hacker News / 8 months ago
  • Stripe blocks small dev sales and wants to refund $100k in legit purchases
    I wondered how the webpage https://lo.cafe/notchnook managed to sell $100k in download. I mean one cannot even zoom in on the screenshot, there's no list of features. Then I saw the tool was reviewed on, for example https://www.theverge.com/2024/7/21/24202914/notchnook-mac-app-dynamic-island-iphone recently. That might explain the sudden success. For a payment provider it must have looked unusual (their decision... - Source: Hacker News / about 2 years ago

Thanks (for Python) mentions (0)

We have not tracked any mentions of Thanks (for Python) yet. Tracking of Thanks (for Python) recommendations started around Mar 2021.

What are some alternatives?

When comparing NotchNook and Thanks (for Python), you can also consider the following products

TheBoringNotch - Open source Dynamic Island for your Mac's Notch

OpenSauced - Optimize Your Open Source Project with Deep Insights

Alcove - Dynamic Island now for your  Mac

Python Package Index - A repository of software for the Python programming language

Sleeve - Your currently playing track displayed right on your desktop

npmpackage.info - Discover detailed information about npm packages. Your go-to source for npm package insights.