flyte
DurableTask
flyte | DurableTask | |
---|---|---|
31 | 9 | |
4,853 | 1,451 | |
3.8% | 2.1% | |
9.8 | 7.8 | |
7 days ago | 7 days ago | |
Go | C# | |
Apache License 2.0 | Apache License 2.0 |
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.
flyte
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First 15 Open Source Advent projects
9. Flyte by Union AI | Github | tutorial
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Flyte 1.10: Self-hosted solution to build production-grade data and ML pipelines; now ships with monorepo, new agents and sensors, eager workflows and more π (4.1k stars on GitHub)
GitHub: https://github.com/flyteorg/flyte
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Flyte: Open-source orchestrator for building production-grade ML pipelines
This is actually but a link to Flyte, this is a link to the documentation for the Flyte integration in LangChain, a separate product.
Flyte's homepage is https://flyte.org/
- Flyte: Advanced workflow orchestration alternative to Apache Airflow
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Orchestration: Thoughts on Dagster, Airflow and Prefect?
Anyone tried Flyte?
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Flyte 1.6.0: Self-hosted solution to build production-grade data and ML pipelines; now ships with PyTorch elastic training, image specification without dockerfile, enhanced task execution insights and more π (3.4k stars on GitHub)
Website: https://flyte.org/
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Flyte(v1.5.0) - Self-hosted solution to build production-grade data and ML pipelines; now ships with streaming support, pod templates, partial tasks and more π (3.2k stars on GitHub)
Flyte is an open source orchestration tool for managing the workflow of machine learning and AI projects. It runs on top of Kubernetes.
- Flyte: Open-Source Kubernetes-Native ML Orchestrator Implemented in Go
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What is MLOps and how to get started? | MLOps series | Deploying ML in production
I have a question though, what is your opinion on https://flyte.org. My pipeline uses this and itβll be interesting to get your perspectives on itβs capabilities.
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Github alternative for ML?
Have you looked at flyte.org. It aims to bring "versioning", "compute" and "reproducibility" together in one package.
DurableTask
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Show HN: Windmill β fastest open-source workflow engine β the how
Might want to checkout DurableTasks[1] for that
[1] https://github.com/Azure/durabletask
- Temporal .NET β Deterministic Workflow Authoring in .NET
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.NET Modern Task Scheduler
Azure Durable Tasks are great for this. Itβs open source too: https://github.com/Azure/durabletask
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Dabbling with Dagster vs. Airflow
AWS Simple Workflows or Azure Logic Apps are both services that let you define S2S workflows however you like without any particular bias to CI/CD or business operations.
If you want to go even lower level, a framework like DTFx lets you define long-running, distributed and resilient orchestrations in code:
https://github.com/Azure/durabletask
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Resetting your Durable Functions Task Hub state
The fast and less official way to clean up state is to use the underlying Durable Task Framework storage APIs directly. Durable Functions has an internal dependency on the Durable Task Framework, so no new packages need to be added to your app to access them. Here's an example function that demonstrates how to clean up Azure Storage state quickly (disclaimer: use any of my code samples at your own risk).
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How to use Netherite Storage Provider in Durable Functions
Netherite is a distributed workflow execution engine for Durable Functions (DF) and the Durable Task Framework (DTFx).
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What was your stupidest mistake? (As a C# dev)
To give context - this table would track long running operations that were initiated and being executed by our worker machines (we use this c sharp framework).
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Azure Durable Functions - Developing Serverless Stateful Workflow
Behind the scenes, the Durable Functions extension is built on top of the Durable Task Framework, an open-source library on GitHub that's used to build workflows in code. Like Azure Functions is the serverless evolution of Azure WebJobs, Durable Functions is the serverless evolution of the Durable Task Framework. Microsoft and other organizations use the Durable Task Framework extensively to automate mission-critical processes. It's a natural fit for the serverless Azure Functions environment.
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A 10+ year Journey
I could clearly see that the developers building applications on Microsoft Azure were facing eerily similar challenges to what I had seen back at AWS. The same challenges we had tried to address with SWF. So I used one of the internal team hackathons as an opportunity to pair up with Affan Dar and take another stab at solving the problem. Affan had a very deep understanding of Azure ServiceBus so he was the perfect person to build the backend for the stateful C# experience I had in mind. Microsoft had recently added async/await capabilities into C# and it turned out to be an amazing fit for writing stateful applications which need to orchestrate calls among microservices. Since Java lacked an async/await like primitive, we had to rely on Promise-based async approach when building SWF. But with C#, we were able to deliver a much cleaner and synchronous programming model using async/await. This hackathon project resulted in Azure Durable Task Framework as an OSS client SDK which uses Azure ServiceBus as the backend to provide a stateful workflow-as-code experience for applications. I'm so glad to see Microsoft has continued investing in the experience with Azure Durable Functions as the latest reincarnation of the original effort. An effort which started with that hackathon project.
What are some alternatives?
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
Workflow Core - Lightweight workflow engine for .NET Standard
argo - Workflow Engine for Kubernetes
QuartzNet - Quartz Enterprise Scheduler .NET
temporal - Temporal service
FluentScheduler - Automated job scheduler with fluent interface for the .NET platform.
kubeflow - Machine Learning Toolkit for Kubernetes
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
Chroniton - A library for running tasks(jobs) on schedules.
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
NCrontab - Crontab for .NET