Software Alternatives & Startups

ShipFa.st VS Thanks (for Python)

Compare ShipFa.st VS Thanks (for Python) and see what are their differences

ShipFa.st logo ShipFa.st

The NextJS boilerplate with all the stuff you need to get your product in front of customers. From idea to production in 5 minutes.

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

ShipFa.st features and specs

  • User-Friendly Interface
    ShipFa.st provides an intuitive and easy-to-navigate interface, making it simple for users to manage their shipping needs without a steep learning curve.
  • Multiple Carrier Options
    The platform offers integration with various shipping carriers, giving users the flexibility to choose the best option according to their needs.
  • Competitive Pricing
    ShipFa.st offers competitive rates, which can be appealing for small businesses looking to optimize their shipping costs.
  • Automated Fulfillment
    The service automates many aspects of the order fulfillment process, saving time and reducing the likelihood of human error.

Possible disadvantages of ShipFa.st

  • Limited International Shipping Support
    Users may find ShipFa.st's international shipping options to be somewhat limited compared to other services that offer more extensive global support.
  • Customization Restrictions
    Some users might experience restrictions when attempting to customize shipping solutions specific to their business needs.
  • Integration Challenges
    The platform might face integration difficulties with certain e-commerce tools, potentially complicating operations for businesses using niche software.
  • Customer Support
    While satisfactory for some, the customer support service may be perceived as lacking in responsiveness and depth by others.

Thanks (for Python) features and specs

No features have been listed yet.

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

Category Popularity

0-100% (relative to ShipFa.st and Thanks (for Python))
Boilerplate
100 100%
0% 0
Crowdfunding
0 0%
100% 100
Developer Tools
98 98%
2% 2
SaaS Starter Kit
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, ShipFa.st seems to be more popular. It has been mentiond 4 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.

ShipFa.st mentions (4)

  • He Built an App in 24 Hours and Made $20,378 the Next Day. Here's the Part Nobody Screenshots.
    Lou got fired by Tai Lopez in November 2021, was broke and depressed, and moved to Bali. He started shipping tiny products in public, copying the playbook of, yes, Pieter Levels. His breakout was ShipFast, a Next.js starter kit that did $40,000 in its first month in September 2023. - Source: dev.to / about 2 months ago
  • What's the Best Way to Vibe Code a SaaS in 2026?
    Options like ShipFast ($250) and Supastarter (starting at $299) are popular choices. They're packed with lots of features and have a strong history of adoption and support. - Source: dev.to / 6 months ago
  • Ask HN: Would you pay for F# + Angular and self-hosted starter kit?
    The idea is to offer this as a one-time lifetime purchase with free updates, similar to the model of https://shipfa.st/, giving user a significant headstart to a project similar to https://cryptoquant.dev. Some of you might have seen my F# architecture/parsing posts on https://cryptoquant.dev – this aims to bring that kind of thinking into a practical, reusable asset. Before I spend time building out a landing... - Source: Hacker News / over 1 year ago
  • Show HN: Supabase Next.js SaaS Template – With Auth, RLS, and File Management
    I have tried it (testfromhn@ was my email) and it looks nice and clean. If you push the idea further you could make it a business like https://shipfa.st/ did. It seems you tried with SupaSaaS ? Even the name was good, perhaps you can call this template SupaSaaS lite to bring prospects to you ? Seems cool overall. - Source: Hacker News / over 1 year 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 ShipFa.st and Thanks (for Python), you can also consider the following products

supastarter - The boilerplate for your next web app built on top of Supabase and Next.js.

OpenSauced - Optimize Your Open Source Project with Deep Insights

Suggested - Suggested is a feature request tracking tool, designed to make it easy for your customers to submit new ideas. It simplifies the process of managing all feedback in one place.

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

Makerkit.dev - MakerKit is a SaaS Starter Kit for Next.js, Remix, Firebase and Supabase. Build unlimited SaaS products in record time with the best SaaS Boilerplate.

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