
VS Code
Sublime Text
Vim
Node.js
Notepad++
Microsoft Visual Studio
GitHub
IntelliJ IDEA
Dagster
Apache Airflow
Prefect.io
Luigi
AWS Step Functions
Apache NiFi
Stacksync
Make.com
VS Code
DagsterBased on our record, VS Code seems to be a lot more popular than Dagster. While we know about 1214 links to VS Code, we've tracked only 6 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.
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / 11 days ago
For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / about 1 month ago
Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / about 1 month ago
You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / about 1 month ago
For viewing and navigating, Obsidian handles large markdown libraries well: graph view, tag search, template plugins. VSCode works too if you'd rather stay in your dev environment. Both read the same folder with no conversion needed. - Source: dev.to / about 2 months ago
At my organization, which collects large volumes of public web data, weโve developed a robust system for automated data quality checks using two powerful open-source tools: Dagster and Great Expectations. These tools are the cornerstone of our approach to data quality management, allowing us to efficiently validate and monitor our data pipelines at scale. - Source: dev.to / 9 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 / over 1 year 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 / over 1 year ago
Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / about 2 years 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 2 years ago
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Vim - Highly configurable text editor built to enable efficient text editing
Prefect.io - Prefect offers modern workflow orchestration tools for building, observing & reacting to data pipelines efficiently.
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.