Based on our record, Python seems to be a lot more popular than Drools. While we know about 280 links to Python, we've tracked only 6 mentions of Drools. 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.
See https://cacm.acm.org/magazines/2023/6/273222-the-silent-revolution-of-sat/fulltext and also modern production rules engines like https://drools.org/ Oddly, back when “expert system shells” were cool people thought 10,000 rules were difficult to handle, now 1,000,000 might not be a problem at all. Back then the RETE algorithm was still under development and people were using linear search and not hash tables... - Source: Hacker News / 4 months ago
Drools – an open-source business rule management system that allows developers to create and manage complex decision logic. Source: almost 1 year ago
- Drools - Available in JVM environments (Java, Scala and similar) - uses FEEL for expression language. Source: about 1 year ago
GoRules is a modern, open-source rules engine designed for high performance and scalability. Our mission is to democratise rules engines and drive early adoption. Rules engines are very useful as they allow business users to easily understand and modify core business logic with little help from developers. You can think of us as a modern, less memory-hungry version of Drools that will be available in many... Source: about 1 year ago
Is this something like Drools? It's quite uncommon but it is used in situations where certain sets of business rules change a lot and you want business analysts to be able to quickly change them in a simple graphical UI. Source: over 2 years ago
F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 3 months ago
Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 4 months ago
Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 4 months ago
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 4 months ago
When you have finished your thirty days, I recommend to go to the official site and read the offical python tutorial at python.org : https://docs.python.org/3/tutorial/index.html . Source: 5 months ago
Camunda - The Universal Process Orchestrator
Rust - A safe, concurrent, practical language
DecisionRules.io - Business rule engine that lets you create and deploy business rules, while all your rules run in a secure and scalable cloud. Unlike other rule engines, you can create your first rule in 5 minutes and make 100k decisions in a minute via API.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
jBPM - jBPM is a flexible Business Process Management (BPM) Suite.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible