Alternatives and similar repositories for metaflowbot

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

• modal-labs / synchronicity
  Synchronicity lets you interoperate with asynchronous Python APIs.
  ☆134Updated 3 weeks ago
• ploomber / soopervisor
  ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.
  ☆45Updated 10 months ago
• outerbounds / metaflow-tools
  Tools and utilities for operating Metaflow in production
  ☆67Updated 2 months ago
• outerbounds / metaflow-card-notebook
  Render Jupyter Notebooks With Metaflow Cards
  ☆31Updated last year
• outerbounds / metaflow-ray
  ☆28Updated 2 months ago
• ploomber / soorgeon
  Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊
  ☆79Updated last year
• MagnivOrg / magniv-core
  Magniv Core - A Python-decorator based job orchestration platform. Avoid responsibility handoffs by abstracting infra and DevOps.
  ☆81Updated last year
• adrinjalali / joblib-modal
  A library to use `modal` as a backend for `joblib`.
  ☆32Updated last year
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• JHibbard / mlflow-vizmod
  ☆30Updated 4 years ago
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆56Updated 6 months ago
• iterative / gto
  🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.
  ☆158Updated last month
• modin-project / unidist
  Unified Distributed Execution
  ☆57Updated last year
• capitalone / rubicon-ml
  Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
  ☆139Updated 3 weeks ago
• determined-ai / yogadl
  yogadl, the flexible data layer
  ☆74Updated 2 years ago
• SeldonIO / tempo
  MLOps Python Library
  ☆121Updated 3 years ago
• alteryx / woodwork
  Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
  ☆156Updated 3 months ago
• fidelity / spock
  spock is a framework that helps manage complex parameter configurations during research and development of Python applications
  ☆142Updated 2 years ago
• lancedb / lance-deeplearning-recipes
  Deep Learning how-to's using Lance file format
  ☆22Updated 7 months ago
• mlrun / storey
  real-time data + ML pipeline
  ☆53Updated this week
• bytehub-ai / bytehub
  ByteHub: making feature stores simple
  ☆61Updated 4 years ago
• outerbounds / nbdoc
  Generate beautiful, testable documentation with Jupyter Notebooks
  ☆21Updated 3 years ago
• 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 4 years ago
• interpretml / slicer
  Unified slicing for all Python data structures.
  ☆37Updated 5 months ago
• ploomber / nbsnapshot
  Automated Jupyter notebook testing. 📙
  ☆41Updated last year
• anyscale / airflow-provider-ray
  Ray provider for Apache Airflow
  ☆47Updated last year
• FINRAOS / model-validation-toolkit
  Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…
  ☆29Updated 2 years ago
• oracle / macest
  Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
  ☆100Updated 3 months ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago