Momen
Umso
Bubble.io
Carrd
Webflow
WordPress
FlutterFlow
Jasper.ai
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Momen is a no-code web app builder that allows users to build fully customizable web apps. With Momen, you'll efficiently move from prototype to app deployment with a strong built-in backend. Iterate rapidly without coding, ensuring predictable costs with project-based pricing. Achieve assured scalability through advanced collaboration workflows for custom million-user projects from the outset.
What's more, Momen's launched AI feature, enabling users to build AI-powered apps based on their business context. Beyond template-based AI bot, you can tailor your app's UI, create your exclusive workflow and more.
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Momen's answer
Momen's main users are startups, entrepreneurs, developers, product managers, designers, and no-code tool enthusiasts.
Momen's answer
Momen's main users are startups, entrepreneurs, developers, product managers, designers, and no-code tool enthusiasts.
Momen's answer
Momen's answer
Momen is designed for entrepreneurs, by entrepreneurs. We understand the need for a tool that is both powerful and easy to use. That's why we've spent the last three years crafting a platform that not only simplifies the app development process but also empowers you to build whatever you can imagine. We believe that everyone, regardless of their technical background, should have the power to bring their ideas to life. And that's exactly what Momen empowers you to do.
Momen's answer
Our editor is based on react and communicates with the backend via graphql. The editor's backend, which also serves as the orchestrator for application deployments, is built using java. Our deployment framework is built on top of kubernetes. The applications produced via momen has react as frontend and springboot as backend. The database is postgresql. The API between frontend and backend is graphql.
Momen's answer
This was surprisingly a breeze and the fact that it gives you access to basic feature for free is mind blowing. Absolutely amazing!
I love the latest update in Momen! Now, I can jazz up my website with cool animations to make it look super dynamic. It's like adding a little magic to my visuals. With this feature, I can easily create eye-catching animations that grab visitors' attention, giving my website a fun and energetic vibe. Plus, it's simple to use – no tech wizardry required. I've noticed that these animations make my content pop, and it keeps people engaged. If you want to make your website more lively and exciting, definitely give Momen's animation design a try!
Momen's SEO control lets me easily configure my website's on-page SEO. This may sound technical, but it's like giving my site a boost on search engines like Google. The best part is that I can set different TDK for each page through binding dynamic data in database. With Momen, I can make sure my site shows up when people search for things related to what I offer. I've noticed more people visiting my site since I started using Momen's SEO features. It's simple but effective – like having a well-placed billboard on a busy road. If you want more folks to check out your website, Momen's SEO control is a must-try.
Based on our record, NumPy seems to be a lot more popular than Momen. While we know about 107 links to NumPy, we've tracked only 2 mentions of Momen. 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.
Can you name some usecases aka successful web apps that were build with momen.app? Source: 10 months ago
I'd recommend momen.app. I built it with my team. Source: 10 months ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
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Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Carrd - Simple, responsive one-page site creator.
OpenCV - OpenCV is the world's biggest computer vision library