Makerkit.dev
ShipFa.st
supastarter
Nexty.dev
MkSaaS
SaaSykit
StarterKitPro
Next SaaS Starter
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Makerkit is a production-ready SaaS starter kit built with Next.js App Router and Supabase that helps developers launch faster.
It provides a robust foundation with built-in authentication, team management, billing integration, and Super Admin - all powered by a modular architecture that makes customization and maintenance a breeze.
Whether you're building a B2B or B2C application, Makerkit handles the complex infrastructure so you can focus on building your product's unique features using modern tools like TypeScript, React, and Tailwind CSS.
Makerkit.dev MatplotlibNo Makerkit.dev videos yet. You could help us improve this page by suggesting one.
Makerkit.dev's answer
Indie Hackers and Companies who want to launch quickly, without compromising on quality.
Makerkit.dev's answer
Makerkit uses Next.js 15 (App Router), Supabase, React.js, Typescript and Stripe.
Makerkit.dev's answer
Makerkit stands out by offering a truly modular architecture built with Turborepo, where core features like auth, billing, and notifications live in their own packages for better maintainability.
While most starters lock you into specific patterns or providers, Makerkit gives you flexibility with a multi-account system supporting both B2B and B2C scenarios, provider-agnostic billing, and edge-ready deployment options.
Beyond the basics, it includes production-ready features like multi-factor auth, real-time notifications, and team permissions - all built with Supabase, TypeScript, React Query, and modern tooling to make development a genuine pleasure.
Makerkit.dev's answer
While other starters give you basic auth and a dashboard, Makerkit provides a genuinely modular foundation with the real features SaaS products need - like multi-factor auth, team permissions, real-time notifications, and provider-agnostic billing, all organized in clean, maintainable packages using Turborepo.
You get a first-class developer experience with TypeScript, React Query, and modern tooling, plus the flexibility to support both B2B and B2C scenarios, different payment providers, and edge deployment options.
Best of all, Makerkit is actively maintained with regular updates and responsive support, so you're building on a foundation that grows with your needs rather than painting yourself into a corner.
Based on our record, Matplotlib seems to be a lot more popular than Makerkit.dev. While we know about 114 links to Matplotlib, we've tracked only 2 mentions of Makerkit.dev. 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.
Price: $299 (Pro, individual) / $599 (Teams, 5 collaborators) - one-time, lifetime access URL: makerkit.dev. - Source: dev.to / 3 months ago
I saw these ones mentioned in an HN comment: - https://achromatic.dev - https://makerkit.dev - https://www.spirokit.com/ - https://saasykit.com/. - 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
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.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
supastarter - The boilerplate for your next web app built on top of Supabase and Next.js.
NumPy - NumPy is the fundamental package for scientific computing with Python
Nexty.dev - Launch your SaaS in days, not weeks. Nexty.dev is a production-ready Next.js and Supabase starter template for building modern SaaS applications. Launch your content, AI, or subscription service faster.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
