Puppeteer is a Node library which provides a high-level API to control Chrome or Chromium over the DevTools Protocol. Puppeteer runs headless by default, but can be configured to run full (non-headless) Chrome or Chromium. Most things that you can do manually in the browser can be done using Puppeteer! For example you can generate screenshots and PDFs of pages, Crawl a SPA (Single-Page Application) and generate pre-rendered content, Automate form submission, UI testing, keyboard input, etc.


Puppeteer - Headless Chrome Node API

Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters. Skaffold handles the workflow for building, pushing and deploying your application. It also provides building blocks and describe customizations for a CI/CD pipeline.
<BR><BR>
Skaffold is client-side only. With no on-cluster component, there is no overhead or maintenance burden to your cluster. Skaffold has many essential features for Kubernetes-native development, including policy-based image tagging, resource port-forwarding and logging, file syncing, and much more.



Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters. Skaffold handles the workflow for building, pushing and deploying your application. It also provides building blocks and describe customizations for a CI/CD pipeline.

Skaffold - Local Kubernetes Development

Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science. Build an app in a few lines of code with magically simple API. Adding a widget is the same as declaring a variable. No need to write a backend, define routes etc. Effortlessly share, manage, and collaborate on your apps directly from Streamlit. Apps are deployed directly from Github repo.

Streamlit - The fastest way to build data apps in Python

Pyroscope is an open source continuous profiling platform. It will help you Find performance issues in your code, Resolve issues with high CPU utilization, Understand the call tree of your application, Track changes over time. It can store years of profiling data from multiple applications. You can look at years of data at a time or zoom in on specific events. 

Pyroscope - Open Source Continuous Profiling Platform


A React components library for building Airbnb / Yelp like search experiences. It is a React components library for building realtime search experiences. It is built on top of the appbase.io realtime DB service and ships with 25+ components for Lists, Dropdowns, Range Sliders, Data Search, Multi Level Menu, Calendars, Feeds Maps, Ratings Filter, Result Cards and Result Lists.
<BR><BR>
It has support for own declarative API to query Elasticsearch, which is called ReactiveSearch API. Query generation happens on the server-side, addressing the primary security concern around query injection.


A React components library for building Airbnb / Yelp like search experiences. It is a React components library for building realtime search experiences. It is built on top of the appbase.io realtime DB service and ships with 25+ components for Lists, Dropdowns, Range Sliders, Data Search, Multi Level Menu, Calendars, Feeds Maps, Ratings Filter, Result Cards and Result Lists.

Reactivesearch - A React components library for building awesome search UIs

Rubrix is a production-ready Python framework for exploring, annotating, and managing data in NLP projects.
Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. Once a model goes into production, you want to monitor and analyze its predictions, and collect more data to improve your model over time. Rubrix is designed to close this gap, enabling you to iterate as much as you need.

RUBRIX -  Python framework to explore, label, and monitor data for NLP

Kubernetes has made it very easy to deploy applications to the cloud at a higher scale than ever, but the development practices have not evolved at the same speed as application deployment patterns. Today, most developers try to either run parts of the infrastructure locally, or just test these integrations directly in the cluster via CI jobs or the "docker build, docker push, kubectl apply" cycle. It works, but this workflow is painful and incredibly slow.

Okteto - A Tool for Cloud Native Developers

Discover open source projects across all platforms

Projects

Puppeteer - Headless Chrome Node API

Skaffold - Local Kubernetes Development

Streamlit - The fastest way to build data apps in Python

Pyroscope - Open Source Continuous Profiling Platform

Reactivesearch - A React components library for building awesome search UIs

RUBRIX - Python framework to explore, label, and monitor data for NLP

Okteto - A Tool for Cloud Native Developers

TechStack

Tagcloud

Suggested keywords:

Projects

Puppeteer - Headless Chrome Node API

Skaffold - Local Kubernetes Development

Streamlit - The fastest way to build data apps in Python

Pyroscope - Open Source Continuous Profiling Platform

Reactivesearch - A React components library for building awesome search UIs

RUBRIX - Python framework to explore, label, and monitor data for NLP

Okteto - A Tool for Cloud Native Developers

TechStack

Tagcloud