Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Nexty.dev
ShipFa.st
supastarter
MkSaaS
Makerkit.dev
SaaSykit
StarterKitPro
GetNextKit
Nexty is a full-stack Next.js SaaS template built on Next.js 15 and React 19, designed to help devs ship commercial web apps fast. From content platforms to AI-driven subscription tools, Nextyโs real-world-ready template gets you to market quicker.
Forget months of grinding on auth, payments, CMS, or AI setup. Nexty bundles these into a polished, deployable package that beats other boilerplates. Itโs built for startups, solo devs, and enterprise PMs who need to launch feature-packed SaaS apps without starting from zero.
Nextyโs your shortcut to launching a pro-grade SaaSโ Itโs not just code; itโs a smarter way to build.
Matplotlib Nexty.devNo Nexty.dev videos yet. You could help us improve this page by suggesting one.
Nexty.dev's answer:
Nexty's greatest strength is its business completeness and modular design. It not only includes comprehensive authentication, payment, content management, and AI functionalities, but importantly, all features are integrated into cohesive business workflows. You get immediately usable paywalls, user permission controls, quota management, and other core commercial features that let you focus on product innovation rather than infrastructure.
Nexty.dev's answer:
Our Primary Audience Falls Into Three Key Groups:
What They All Share:
The Sweet Spot:
Basically, if you're thinking "I wish I could skip the boring setup stuff and get straight to building my unique features" - you're our target audience.
Nexty.dev's answer:
It's Simple - We Actually Ship Products, Not Just Code
Speed That Actually Matters:
Modern Stack Done Right:
Real Documentation:
The Bottom Line:
Other templates are academic exercises. Nexty is a business accelerator built by someone who's shipped real products and knows what actually matters when you're trying to make money online.
If you want to build a business, not just learn to code, Nexty gets you there faster.
Nexty.dev's answer:
I'm a developer with over 5 years of experience in the software industry. In my day job, I mainly focus on Web frontend and Node.js development.
Since 2023, I've dedicated all my spare time to researching indie development and SaaS products. I've absorbed vast amounts of information and experimented with many tech stacks, with a simple goal - to find the most suitable full-stack technical solution for indie developers.
The tech stacks I've researched and practiced include but are not limited to: - Full-stack frameworks: Next.js, Nuxt.js - Styling & UI: Tailwind CSS, Shadcn UI, NextUI - Authentication: NextAuth, Supabase, Firebase, Clerk - Payment solutions: Lemon Squeezy, Stripe, Paddle - AI features: Direct AI model calls, Vercel AI SDK - Databases and ORM: Supabase, Firebase, Vercel Postgres, Upstash(Redis), MongoDB, Prisma - File storage: Cloudflare R2, Vercel Storage - Deployment: Vercel, Cloudflare, Dokploy, Zeabur, Railway, VPS - Email services: Resend, Unsend, MailChimp
During this process, I've shared insights through my blog and open-sourced several different types of project templates. I'm honored to have received recognition and support from many developer friends.
Through continuous practice and refinement, I've finally condensed this experience into a complete full-stack development solution, which is now the Nexty.dev template.
Based on our record, Matplotlib seems to be a lot more popular than Nexty.dev. While we know about 114 links to Matplotlib, we've tracked only 1 mention of Nexty.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.
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
This article is based on the deployment steps for my Next.js SaaS boilerplate Nexty.dev, and is the most comprehensive tutorial on the internet for deploying Next.js projects with Dokploy. I hope it helps everyone. - Source: dev.to / 9 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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.
NumPy - NumPy is the fundamental package for scientific computing with Python
supastarter - The boilerplate for your next web app built on top of Supabase and Next.js.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
MkSaaS - The complete Next.js boilerplate for building profitable SaaS, with auth, payments, i18n, newsletter, dashboard, blog, docs, blocks, themes, SEO and more.
