flyte
flytesnacks
Our great sponsors
flyte | flytesnacks | |
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31 | 2 | |
4,727 | 73 | |
3.0% | - | |
9.8 | 9.0 | |
about 17 hours ago | 1 day ago | |
Go | Python | |
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.
flytesnacks
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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)
Docs: https://docs.flyte.org/
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Contribute to Flyte for Hacktoberfest
One of the cool things about Flyte is they have a tonne of tutorials. These tutorials are here to teach you how to use Flyte and start processing data, training models, or performing batch predictions. The tutorials are affectionately named Flytesnacks. All the code for the tutorials is available on GitHub for easy access.
What are some alternatives?
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
pythoncode-tutorials - The Python Code Tutorials
argo - Workflow Engine for Kubernetes
mlflow-easyauth - Deploy MLflow with HTTP basic authentication using Docker
temporal - Temporal service
datasets - A collection of free datasets hosted with ReductStore
kubeflow - Machine Learning Toolkit for Kubernetes
flyteCHANGELOG
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
flytesnackscookbook
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.
attendance-management - Simple project to make attendence with OpenCV