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Nodewood is a SaaS Starter Kit designed to get you writing business logic as soon as possible. It is 100% JavaScript and focused on features that ensure that you write common code once and can share it easily between the front-end and back-end. Manage your Stripe subscriptions via configuration files, and use Nodewood's CLI to synchronize your plans with Stripe - no need to manually edit and keep track of plans in Stripe's UI.
Build your next app with Nodewood!
Scikit-learn
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Based on our record, Scikit-learn should be more popular than Nodewood. It has been mentiond 40 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.
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 4 months ago
Hey, thanks for the mention! I'm the creator of Nodewood, and I'm happy to answer any questions anyone has on it, or really anything else in the space I can help with. Source: over 3 years ago
This is largely why I built Nodewood [1]. Every time I wanted to start a new project, almost always a SaaS idea, I'd skip over the "boring stuff" like building user management, subscription management, teams, admin, all that, to get to the meat of the business logic, to make sure I had a valid idea. But I still needed all that stuff eventually, so I'd have to lose time later building it all in! So I decided to... - Source: Hacker News / almost 4 years ago
This is actually part of why I created Nodewood [1], because every new Node project required pulling all that together, and every new SaaS idea I had had the same basic requirements (user management, subscription management, teams support, etc). Then I figured, if I found this useful, surely others would too, so I packaged it up and have had a few happy customers since then, who have helped me refine it, which... - Source: Hacker News / about 4 years ago
Well, I've spoken about this before, and on here no less, but only really in response to posts like this. I don't do any advertising or speak about mine except in interviews, since it's usually indicative of the kind of requirements they're looking for. I created a SaaS bootstrap for Javascript called Nodewood [1]. It actually started as just a template for me, because there's a lot of setup for each new JS web... - Source: Hacker News / about 4 years ago
Disclaimer: I'm the author of the following boilerplate. Nodewood (https://nodewood.com/) is a Javascript SaaS boilerplate built to take advantage of using Javascript on the server and in the UI. Models, Validators, and other business logic can be re-used in both builds, so you don't have to write, rewrite, and maintain that logic in both places, or in different languages. It has built-in subscription management... - Source: Hacker News / over 4 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
UseGravity.App - Build a Node.js & React app at warp speed with a SaaS boilerplate
NumPy - NumPy is the fundamental package for scientific computing with Python
Laravel Spark - Spark provides the perfect starting point for your next big idea.
OpenCV - OpenCV is the world's biggest computer vision library
Modern MERN - React SaaS Starter Kit built with TypeScript and Next.js styled with Tailwind CSS hosted on AWS. MERN stack using Prisma and Serverless.