Prettier VS NumPy
Compare Prettier VS NumPy and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
featured
Prettier
ESLint
Tailwind CSS
Next.js
SonarQube
VS Code
Angular.io
Standard JS
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
Figure Eight
PrettierBased on our record, Prettier should be more popular than NumPy. It has been mentiond 289 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.
In short semi-columns in JavaScript helps reduce the surface for bugs in poorly maintained code bases, and provides clearer intent to formatters such as prettier. - Source: dev.to / 3 months ago
For years, I've been prettier's biggest fan... Introducing it to every codebase at a new role, instantly adding it to any new repository, installing additional plugins such as tailwind or xml and of course, ensuring the "Format on save" option is switched on. - Source: dev.to / 17 days ago
If you’ve ever set up a JavaScript or TypeScript project, chances are you've spent way too much time configuring ESLint, Prettier, and their dozens of plugins. We’ve all been there — fiddling with .eslintrc, fighting with formatting conflicts, and installing what feels like half the npm registry just to get decent code quality tooling. - Source: dev.to / 2 months ago
Use tools like Prettier to reformat code when things get messy. - Source: dev.to / 2 months ago
Unfortunately, this did mean that configuration began to sprawl. At this point, I had configurations not just for Vite (shared with Vitest) and tsc, but also for Prettier, ESLint and even ShellCheck. Many of these files had shared settings that needed to match each other. This was somewhat manageable, until Vite was also in the mix. - Source: dev.to / 6 months ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
ESLint - The fully pluggable JavaScript code quality tool
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
OpenCV - OpenCV is the world's biggest computer vision library
Next.js - A small framework for server-rendered universal JavaScript apps
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.