conductor
alibi
| conductor | alibi | |
|---|---|---|
| 39 | 4 | |
| 12,999 | 2,289 | |
| - | 0.6% | |
| 8.4 | 7.7 | |
| 5 months ago | 8 days ago | |
| Java | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
conductor
- Netflix Conductor OSS discontinued support
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Orkes Monthly Highlights - October 2023
We celebrated a remarkable milestone in September when the Netflix Conductor GitHub repository reached 10k stars. It was a momentous achievement for our DevRel team. Just a month later, we're thrilled to announce that we've surpassed 12k stars! ⭐🎉
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4 Microservice Patterns Crucial in Microservices Architecture
Also, don’t forget to give us a ⭐ on our Netflix Conductor repo.
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The Workflow Pattern
One of my favorite workflow engines that has a really simple way to do things was not listed here, so I'll call it out - Netflix Conductor (https://github.com/Netflix/conductor).
Its capabilities comes to light when you model really complex workflows and one real value is how its all very visual not just during modeling but when running it. The history remains visible and you can even see how the whole flow evolved.
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Orkes Monthly Highlights - September 2023
Yet another significant milestone on our journey: we've proudly reached the 10,000-star mark on our Netflix Conductor GitHub repository! 🌟
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question about microservice to microservice internal only communication
Give something like https://github.com/Netflix/conductor a try to solve this -- makes it very easy to do what you are trying to achieve.
- Framework used by Netflix to orchestrate microservices
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Background Task Management on Celery and EC2
Checkout Conductor https://github.com/Netflix/conductor which is far more scalable and easy on the resources with its own Celery like queues. Fully supports writing task workers in python:
- Implementing Saga Pattern in Go Microservices
- GitHub - Netflix/conductor: Microservices orchestration engine.
alibi
- Alibi: Open-source Python lib for ML model inspection and interpretation
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Ask HN: Who is hiring? (January 2022)
Seldon | Multiple positions | London/Cambridge UK | Onsite/Remote | Full time | seldon.io
At Seldon we are building industry leading solutions for deploying, monitoring, and explaining machine learning models. We are an open-core company with several successful open source projects like:
* https://github.com/SeldonIO/seldon-core
* https://github.com/SeldonIO/mlserver
* https://github.com/SeldonIO/alibi
* https://github.com/SeldonIO/alibi-detect
* https://github.com/SeldonIO/tempo
We are hiring for a range of positions, including software engineers(go, k8s), ml engineers (python, go), frontend engineers (js), UX designer, and product managers. All open positions can be found at https://www.seldon.io/careers/
- Ask HN: Who is hiring? (December 2021)
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Best alternatives to 'shap' package?
Alibi explain might be an option depending on what you are looking for https://github.com/SeldonIO/alibi
What are some alternatives?
camunda-demo - 🗞️ Repo for this series: https://dev.to/tgotwig/getting-started-with-camunda-spring-boot-2gbi
interpret - Fit interpretable models. Explain blackbox machine learning.
Activiti - Activiti is a light-weight workflow and Business Process Management (BPM) Platform targeted at business people, developers and system admins. Its core is a super-fast and rock-solid BPMN 2 process engine for Java. It's open-source and distributed under the Apache license. Activiti runs in any Java application, on a server, on a cluster or in the cloud. It integrates perfectly with Spring, it is extremely lightweight and based on simple concepts.
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
kestra - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
proposals - Temporal proposals
MLServer - An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
akhq - Kafka GUI for Apache Kafka to manage topics, topics data, consumers group, schema registry, connect and more...
causallift - CausalLift: Python package for causality-based Uplift Modeling in real-world business
Springy-Store-Microservices - Springy Store is a conceptual simple μServices-based project using the latest cutting-edge technologies, to demonstrate how the Store services are created to be a cloud-native and 12-factor app agnostic. Those μServices are developed based on Spring Boot & Cloud framework that implements cloud-native intuitive, design patterns, and best practices.
MindsDB - The platform for customizing AI from enterprise data