Based on our record, Apache Airflow seems to be a lot more popular than J. While we know about 66 links to Apache Airflow, we've tracked only 5 mentions of J. 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.
This is based on K. Another array language is J http://jsoftware.com In J this would be:- Source: Hacker News / 4 months agodot =: +/ . *.
Does J count a "esoteric"? If so, I do directly write J code, interactively. It's often a sort of exploration, a dialogue with the interpreter. J's conciseness makes that quite pleasant. Source: 5 months ago
Sure. Advent_of_Code (AoC) is a computer programming competition that’s been running since 2015. Problems are released daily from 1 December for 24 days. That’s the Advent thing. Each registrant gets their own data and has to write a program that produces a matching solution unique to their data usually a single number. You get a star if you get the correct answer. There is a ranking based on how long from release... Source: about 1 year ago
I started learning APL in 1974 and J about twenty years later. I think you’ll find J (https://jsoftware.com) will be easy to pickup. You have the APL idioms down pat. I have to relearn them as I don’t use either much these days. Source: about 2 years ago
I like J, from jsoftware.com. They came up with a genius way of representing all primitives with ascii characters combined with periods or colons (a couple of exceptions). If you download and install, go to the demos and labs to see 3D graphic implementations and all sorts of other examples of capabilities. Source: over 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 / 4 days ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 3 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 6 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 6 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 8 months ago
Go.CD - Open source continuous delivery tool allows for advanced workflow modeling and dependencies management.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
NIM - GB64.COM is the home of The Gamebase Collection of C64 games.
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.
Clojure - Clojure is a dynamic, general-purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming.
Make.com - Tool for workflow automation (Former Integromat)