Apache Airflow is recommended for data engineers, data scientists, and IT professionals who need to automate and manage workflows. It is particularly suited for organizations handling large-scale data processing tasks, requiring integration with various systems, and those looking to deploy machine learning pipelines or ETL processes.
Based on our record, Insomnia REST should be more popular than Apache Airflow. It has been mentiond 129 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.
Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / 3 months ago
Apache Airflow offers simplicity when it comes to scheduling, authoring, and monitoring ML workflows using Python. The tool's greatest advantage is its compatibility with any system or process you are running. This also eliminates manual intervention and increases team productivity, which aligns with the principles of Platform Engineering tools. - Source: dev.to / 4 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
Data pipelines: Apache Kafka and Airflow are often used for building data pipelines that can continuously feed data to models in production. - Source: dev.to / 5 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
Test with Tools: Use tools like Postman or Insomnia to test API requests. - Source: dev.to / 4 months ago
Although Apidog is a popular REST client, you can also use others, such as Insomnia, RapidAPI for Mac, and Hoppscotch. - Source: dev.to / 5 months ago
The container directly run on the host I send the request so there's almost no network latency and I use Insomnia to measure the response time. - Source: dev.to / 6 months ago
To test the authentication endpoints, you can use a tool like Postman or Insomnia. - Source: dev.to / 8 months ago
Once this server is up and running locally, you can make a GET request using API testing tools like Insomnia to test whether things are working as expected. In this case, you're planning on logging a username from a form to test what the server logs look like. You add the data to match what your server is expecting and send the request. Doing so gives you a 200 OK and some text that says, "Data logged... - Source: dev.to / 8 months ago
Make.com - Tool for workflow automation (Former Integromat)
Postman - The Collaboration Platform for API Development
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Hoppscotch - Open source API development ecosystem
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
RapidAPI for Mac - Paw is a REST client for Mac.