Alternatives and similar repositories for serveml

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

• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆52Updated 2 years ago
• anodot / MLWatcher
  ☆95Updated 5 years ago
• tomaszdudek7 / airflow_project
  scaffold of Apache Airflow executing Docker containers
  ☆85Updated 2 years ago
• online-ml / chantilly
  🍦 Deployment tool for online machine learning models
  ☆97Updated 3 years ago
• tdda / tdda
  Test-Driven Data Analysis Functions
  ☆299Updated this week
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆54Updated last week
• Galileo-Galilei / kedro-mlflow
  A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)
  ☆217Updated last week
• operatorai / modelstore
  🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…
  ☆393Updated 5 months ago
• bodywork-ml / bodywork-core
  ML pipeline orchestration and model deployments on Kubernetes.
  ☆435Updated last year
• 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 last year
• amesar / mlflow-export-import
  Export and import MLflow experiments, runs or registered models
  ☆82Updated 2 years ago
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆102Updated 2 years ago
• 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…
  ☆19Updated 3 weeks ago
• PythonPredictions / cobra
  A Python package to build predictive linear and logistic regression models focused on performance and interpretation
  ☆30Updated last year
• godatadriven / whirl
  Fast iterative local development and testing of Apache Airflow workflows
  ☆202Updated 2 months ago
• ZaxR / bulwark
  Bulwark is a package for convenient property-based testing of pandas dataframes.
  ☆225Updated 5 years ago
• flavienbwk / prefect-docker-compose
  A simple guide to understand Prefect and make it work with your own docker-compose configuration.
  ☆163Updated last year
• schlerp / flowpy
  manipulate pandas dataframes from the comfort of your browser
  ☆172Updated 3 years ago
• ReviewNB / treon
  Easy to use test framework for Jupyter Notebooks
  ☆310Updated 2 years ago
• anna-geller / prefect-deployment-patterns
  Code examples showing flow deployment to various types of infrastructure
  ☆107Updated 2 years ago
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆70Updated last month
• dylan-profiler / visions
  Type System for Data Analysis in Python
  ☆213Updated 5 months ago
• ing-bank / popmon
  Monitor the stability of a Pandas or Spark dataframe ⚙︎
  ☆503Updated 5 months ago
• SauceCat / pydqc
  python automatic data quality check toolkit
  ☆283Updated 4 years ago
• amesar / mlflow-tools
  Tools for MLflow
  ☆37Updated last year
• bnh-ai / resources
  ☆27Updated 4 years ago
• kedro-org / kedro-community
  Examples of data science projects created with Kedro.
  ☆172Updated 2 years ago
• deepyaman / kedro-accelerator
  Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.
  ☆35Updated 3 years ago
• Cornerstone-OnDemand / modelkit
  Toolkit for developing and maintaining ML models
  ☆154Updated last year
• eyaltrabelsi / pandas-log
  The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common fun…
  ☆215Updated 4 years ago