ShipFa.st
supastarter
Makerkit
Makerkit.dev
MkSaaS
SaaS Boilerplate
SaaSykit
BoilerCode
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
ShipFa.st MatplotlibNo ShipFa.st videos yet. You could help us improve this page by suggesting one.
Based on our record, Matplotlib seems to be a lot more popular than ShipFa.st. While we know about 114 links to Matplotlib, we've tracked only 4 mentions of ShipFa.st. 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.
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 / 1 day ago
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 / 4 months ago
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 โ this aims to bring that kind of thinking into a practical, reusable asset. Before I spend time building out a landing... - Source: Hacker News / about 1 year ago
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
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
supastarter - The boilerplate for your next web app built on top of Supabase and Next.js.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Makerkit - Customer feedback, public roadmap & product changelog
NumPy - NumPy is the fundamental package for scientific computing with Python
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.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
