Based on our record, Jupyter seems to be a lot more popular than Azkaban. While we know about 205 links to Jupyter, we've tracked only 3 mentions of Azkaban. 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.
Not sure if https://azkaban.github.io/ would fit your use case. Source: almost 2 years ago
I used this once, was pretty nice: https://azkaban.github.io/. Source: about 2 years ago
Apache Azkaban is a batch workflow job scheduler to help developers run Hadoop jobs. The open-sourced platform “resolves ordering through job dependencies” and offers an intuitive web interface to help users maintain and track workflows. Source: about 2 years ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 8 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 19 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 14 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 2 months ago
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
RunDeck - RunDeck is an open source automation service with a web console, command line tools and a WebAPI.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.