Alternatives and similar repositories for flytesnacks

Users that are interested in flytesnacks are comparing it to the libraries listed below

• flyteorg / flytelab
  Machine Learning Projects with Flytekit
  ☆37Updated 2 years ago
• flyteorg / flytekit
  Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
  ☆286Updated last week
• davidmirror-ops / flyte-the-hard-way
  Prepare requirements and deploy Flyte using Helm
  ☆77Updated 5 months ago
• anyscale / airflow-provider-ray
  Ray provider for Apache Airflow
  ☆48Updated last year
• unionai-oss / unionml
  UnionML: the easiest way to build and deploy machine learning microservices
  ☆336Updated last year
• flyteorg / flytekit-python-template
  CookieCutter template for getting started with Flyte python projects
  ☆20Updated 5 months ago
• NikeNano / kubeflow-github-action
  Repository for makeinga a GitHub Actions for deploying to Kubeflow.
  ☆35Updated 3 years ago
• ploomber / soopervisor
  ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.
  ☆45Updated 6 months ago
• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated this week
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆55Updated 2 months ago
• ray-project / ray_beam_runner
  Ray-based Apache Beam runner
  ☆41Updated 2 years ago
• flyteorg / flyteconsole
  The user interface for Flyte
  ☆41Updated last month
• delta-incubator / deltaray
  Delta reader for the Ray open-source toolkit for building ML applications
  ☆46Updated last year
• outerbounds / metaflow-tools
  Tools and utilities for operating Metaflow in production
  ☆61Updated 2 weeks ago
• unionai-oss / deploy-flyte
  A set of IaC artifacts to automatically configure the infrastructure resources needed by a Flyte deployment
  ☆30Updated 6 months ago
• SeldonIO / tempo
  MLOps Python Library
  ☆119Updated 3 years ago
• astronomer / ray-airflow-demo
  ☆30Updated 4 years ago
• anna-geller / prefect-deployment-patterns
  Code examples showing flow deployment to various types of infrastructure
  ☆109Updated 2 years ago
• Ark-kun / google_cloud_mlflow
  Experimental MLflow plugin for Google Cloud Vertex AI
  ☆38Updated 3 months ago
• ray-project / deltacat
  A portable Pythonic Data Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to …
  ☆239Updated last week
• great-expectations / great_expectations_action
  A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.
  ☆81Updated last year
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆149Updated last year
• rocket9-code / mlflow-deployment-controller
  Listens MLFlow model registry changes and deploy models based on configurations
  ☆20Updated 2 years ago
• mlspec / MLSpec
  Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…
  ☆94Updated last year
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆49Updated 2 years ago
• linkedin / lambda-learner
  Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.
  ☆42Updated 2 years ago
• elyra-ai / examples
  A repository of examples for Elyra (https://github.com/elyra-ai/elyra)
  ☆86Updated 8 months ago
• jacopotagliabue / post-modern-stack
  Joining the modern data stack with the modern ML stack
  ☆199Updated 2 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆69Updated last month