Netflix / metaflow-serviceLinks
Metadata tracking and UI service for Metaflow!
☆211Updated 4 months ago
Alternatives and similar repositories for metaflow-service
Users that are interested in metaflow-service are comparing it to the libraries listed below
Sorting:
- UI for monitoring your Metaflow executions!☆346Updated last month
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆396Updated 8 months ago
- Tools and utilities for operating Metaflow in production☆61Updated 3 weeks ago
- UnionML: the easiest way to build and deploy machine learning microservices☆336Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆394Updated 2 years ago
- Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful …☆144Updated last year
- Deployment tools/scripts for Metaflow!☆56Updated 2 years ago
- Ray provider for Apache Airflow☆48Updated last year
- 🚎 Notebook sharing hub☆501Updated 2 years ago
- MLOps Python Library☆119Updated 3 years ago
- Magniv Core - A Python-decorator based job orchestration platform. Avoid responsibility handoffs by abstracting infra and DevOps.☆80Updated last year
- BentoML Example Projects 🎨☆139Updated 8 months ago
- Auto-generated Diagrams from Airflow DAGs. 🔮 🪄☆348Updated last week
- 🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.☆152Updated last week
- Deploy production-grade Metaflow cloud infrastructure on AWS☆67Updated 4 months ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆656Updated 5 months ago
- Kubeflow’s superfood for Data Scientists☆640Updated this week
- Flyte Documentation 📖☆81Updated 5 months ago
- Distributed XGBoost on Ray☆149Updated last year
- ML pipeline orchestration and model deployments on Kubernetes.☆434Updated 2 years ago
- aim-mlflow integration☆221Updated 2 years ago
- Pylint plugin for static code analysis on Airflow code☆95Updated 4 years ago
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆668Updated 6 months ago
- DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.☆267Updated 5 months ago
- The Prefect API and backend☆246Updated last year
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆294Updated 9 months ago
- Viewflow is an Airflow-based framework that allows data scientists to create data models without writing Airflow code.☆126Updated 4 years ago
- Pythonic file-system interface for Google Cloud Storage☆373Updated this week
- Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.☆286Updated last week
- ☆73Updated last year