flyte
kubernetes-operator-roiergasias
Our great sponsors
flyte | kubernetes-operator-roiergasias | |
---|---|---|
31 | 1 | |
4,727 | 7 | |
3.3% | - | |
9.8 | 4.8 | |
7 days ago | almost 3 years ago | |
Go | Go | |
Apache License 2.0 | GNU General Public License v3.0 only |
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
-
First 15 Open Source Advent projects
9. Flyte by Union AI | Github | tutorial
-
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
-
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
-
Orchestration: Thoughts on Dagster, Airflow and Prefect?
Anyone tried Flyte?
-
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/
-
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
-
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.
-
Github alternative for ML?
Have you looked at flyte.org. It aims to bring "versioning", "compute" and "reproducibility" together in one package.
kubernetes-operator-roiergasias
What are some alternatives?
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
helm-s3 - β Helm plugin that adds support for AWS S3 as a chart repository.
argo - Workflow Engine for Kubernetes
nifikop - The NiFiKop NiFi Kubernetes operator makes it easy to run Apache NiFi on Kubernetes. Apache NiFI is a free, open-source solution that support powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
temporal - Temporal service
volcano - A Cloud Native Batch System (Project under CNCF)
kubeflow - Machine Learning Toolkit for Kubernetes
csi-s3 - A Container Storage Interface for S3
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
keel - Kubernetes Operator to automate Helm, DaemonSet, StatefulSet & Deployment updates
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.
Orkestra - Orkestra is a cloud-native release orchestration and lifecycle management (LCM) platform for the fine-grained orchestration of inter-dependent helm charts and their dependencies