anycable-go
flyte
| anycable-go | flyte | |
|---|---|---|
| 3 | 31 | |
| 349 | 4,779 | |
| 1.1% | 2.3% | |
| 9.0 | 9.8 | |
| 4 days ago | 1 day ago | |
| Go | Go | |
| MIT License | 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.
anycable-go
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Deploy Anycable with MRSK
# Dockerfile # ... RUN curl -fsSL https://github.com/anycable/anycable-go/releases/download/v1.4.1/anycable-go-linux-amd64 -o anycable-go \ && chmod +x anycable-go && cp anycable-go /usr/local/bin/anycable-go # ...
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Connect to Redis cluster using Anycable in rails app
https://github.com/anycable/anycable-go/blob/master/pubsub/redis.go#L16
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Mixing Stimulus and React?
Could just keep it simple and treat it as a Rails-standard web form with many edits before the final submit. Alternatively with many backend ajax calls I've had success with Stimulus Reflex. There is also replacements for ActionCable [1] if throughput and load is a concern in a production environment
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 🚀 (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 🚀 (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 🚀 (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 it’ll be interesting to get your perspectives on it’s 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.
What are some alternatives?
AnyCable - AnyCable for Ruby applications
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
redigo - Go client for Redis
argo - Workflow Engine for Kubernetes
streamhut - Stream your terminal to web without installing anything 🌐
temporal - Temporal service
go-websockets - I don't know .... learning golang and websockets ☠️
kubeflow - Machine Learning Toolkit for Kubernetes
xk6-cable - A k6 extension for testing Action Cable and AnyCable functionality
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
grpc-go - The Go language implementation of gRPC. HTTP/2 based RPC
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.