outerbounds / metaflow-toolsLinks
Tools and utilities for operating Metaflow in production
☆68Updated 2 months ago
Alternatives and similar repositories for metaflow-tools
Users that are interested in metaflow-tools are comparing it to the libraries listed below
Sorting:
- Deploy production-grade Metaflow cloud infrastructure on AWS☆70Updated last month
- Render Jupyter Notebooks With Metaflow Cards☆31Updated last year
- Deployment tools/scripts for Metaflow!☆56Updated 2 years ago
- ☆32Updated last month
- Metadata tracking and UI service for Metaflow!☆218Updated last month
- Joining the modern data stack with the modern ML stack☆201Updated 2 years ago
- Slack bot for monitoring your Metaflow flows!☆29Updated 4 years ago
- Code examples showing flow deployment to various types of infrastructure☆110Updated 3 years ago
- UnionML: the easiest way to build and deploy machine learning microservices☆336Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆74Updated 3 weeks ago
- Experimental MLflow plugin for Google Cloud Vertex AI☆38Updated 8 months ago
- Templates for your Kedro projects.☆83Updated last week
- IbisML is a library for building scalable ML pipelines using Ibis.☆120Updated 6 months ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆256Updated last year
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆57Updated 7 months ago
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.☆83Updated last year
- Flyte Documentation 📖☆86Updated 10 months ago
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆294Updated last year
- It's all in the name☆82Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆116Updated 2 years ago
- Dataset registry DVC project☆85Updated last year
- ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.☆45Updated 10 months ago
- 🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.☆158Updated last month
- ByteHub: making feature stores simple☆61Updated 4 years ago
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year
- Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊☆79Updated last year
- Magniv Core - A Python-decorator based job orchestration platform. Avoid responsibility handoffs by abstracting infra and DevOps.☆81Updated last year
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆114Updated 2 months ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆92Updated last year
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆400Updated last year