Alternatives and similar repositories for metaflowbot:

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

• outerbounds / metaflow-tools
  Tools and utilities for operating Metaflow in production
  ☆50Updated this week
• modal-labs / synchronicity
  Synchronicity lets you interoperate with asynchronous Python APIs.
  ☆103Updated last week
• msubzero2000 / bayesian-optimisation-metaflow-optuna
  example how to perform distributed bayesian optimisation (autoML) using optuna on metaflow
  ☆10Updated 3 years ago
• ploomber / soopervisor
  ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.
  ☆45Updated 5 months ago
• iterative / ldb-resources
  ☆28Updated 2 years ago
• criteo / fromconfig
  A library to instantiate any Python object from configuration files.
  ☆24Updated 2 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆76Updated 2 years ago
• outerbounds / nbdoc
  Generate beautiful, testable documentation with Jupyter Notebooks
  ☆21Updated 2 years ago
• anyscale / airflow-provider-ray
  Ray provider for Apache Airflow
  ☆47Updated last year
• criteo / deepr
  The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators
  ☆52Updated last year
• saturncloud / dask-pytorch-ddp
  dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.
  ☆59Updated 3 years ago
• adrinjalali / joblib-modal
  A library to use `modal` as a backend for `joblib`.
  ☆27Updated last month
• outerbounds / metaflow-ray
  ☆23Updated last week
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆53Updated 5 months ago
• rocket9-code / mlflow-deployment-controller
  Listens MLFlow model registry changes and deploy models based on configurations
  ☆21Updated last year
• jordanvolz / lolpop
  A software engineering framework to jump start your machine learning projects
  ☆37Updated 8 months ago
• mfcabrera / hooqu
  hooqu is a library built on top of Pandas-like Dataframes for defining "unit tests for data". This is a spiritual port of Apache Deequ to…
  ☆26Updated 2 months ago
• outerbounds / terraform-aws-metaflow
  Deploy production-grade Metaflow cloud infrastructure on AWS
  ☆61Updated last month
• awslabs / ml-io
  A high performance data access library for machine learning tasks
  ☆74Updated last year
• WaylonWalker / kedro-action
  A GitHub Action to lint, test, build-docs, package, and run your kedro pipelines. Supports any Python version you'll give it (that is als…
  ☆20Updated this week
• iterative / gto
  🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.
  ☆144Updated 2 weeks ago
• MagnivOrg / magniv-core
  Magniv Core - A Python-decorator based job orchestration platform. Avoid responsibility handoffs by abstracting infra and DevOps.
  ☆78Updated 7 months ago
• intuit / mlctl
  mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…
  ☆25Updated 3 years ago
• msaroufim / torchprep
  ☆13Updated 2 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆54Updated 2 years ago
• 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.
  ☆80Updated 9 months ago
• dask / dask-cloudprovider
  Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...
  ☆138Updated 3 weeks ago
• astronomer / ray-airflow-demo
  ☆30Updated 3 years ago
• fastai / docments
  Document parameters using comments
  ☆10Updated 3 years ago