Haskell
Rust
Python
JavaScript
Java
Elixir
Clojure
NIM
Apache Airflow
Microsoft Power Automate
ifttt
Make.com
Pipefy
Pushwoosh
Kissflow
Process Street
We recommend LibHunt Haskell for discovery and comparisons of trending Haskell projects.
Haskell Apache AirflowBased on our record, Apache Airflow should be more popular than Haskell. It has been mentiond 68 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.
Haskell - a general-purpose functional language with many unique properties (purely functional, lazy, expressive types, STM, etc). You mentioned you dabbled in Haskell, why not try it again? (I've written about 7 things I learned from Haskell, and my book is linked at them bottom if you're interested :) ). Source: about 1 year ago
Where you go is entirely up to you. According to haskell.org, Haskell jobs are a-plenty. sigh. Source: about 1 year ago
Should they be part of haskell.org or something else? Source: over 1 year ago
Haskell.org now has a big purple Get Started button that takes you to a nice short guide (haskell.org/get-started) that quickly provides all the basic info to get going with Haskell. It is aimed for beginners, to reduce choice fatigue and to give them a clear, official path to get going. Source: over 1 year ago
I just jumped into the wiki "Write Yourself a Scheme in 48 hours" which looks pretty good. (although some of the text explanation is hard to understand without context).. I used cabal to set up the starter project. Sublime editor seems to work OK and I just use the git Bash shell on windows to compile the program directly on the command line. So maybe this is all good enough for now (?). It seems installing... Source: 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 / 10 days ago
An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / 21 days 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 months 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 / 4 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: 8 months ago
Rust - A safe, concurrent, practical language
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.
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Make.com - Tool for workflow automation (Former Integromat)