Based on our record, React seems to be a lot more popular than Dagster. While we know about 814 links to React, we've tracked only 5 mentions of Dagster. 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.
One inspiring example is a developer building a "Todoist Clone" using a combination of React, Node.js, and MongoDB. The developer tapped into open source libraries and community support to create a highly responsive task management application. This project underscores how indie hackers can achieve rapid development and adaptation with minimal budget – a theme echoed in several indie hacking success stories. - Source: dev.to / 27 days ago
Next.js is a very popular framework built on top of the React.js library and it provides the best Development Experience for building applications. It offers a bunch of features like:. - Source: dev.to / about 1 month ago
Explore the official React documentation. - Source: dev.to / about 2 months ago
We’ll be creating the components package inside the packages directory. In this monorepo package, we’ll be building React components which will be consumed by our Next.js application (front-end package). - Source: dev.to / about 2 months ago
After evaluating our options including upgrading from AngularJS to Angular (the name for every version of Angular 2 and beyond) or migrating and rewriting our application in a completely new JavaScript framework: React. We ultimately chose to go with ReactJS. - Source: dev.to / about 2 months ago
Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 4 months ago
This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 6 months ago
Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 12 months ago
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / about 1 year ago
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: about 2 years ago
Vue.js - Reactive Components for Modern Web Interfaces
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Next.js - A small framework for server-rendered universal JavaScript apps
Kestra.io - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
Svelte - Cybernetically enhanced web apps
Prefect.io - Prefect offers modern workflow orchestration tools for building, observing & reacting to data pipelines efficiently.