Alternatives and similar repositories for chantilly:

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

• data-science-lab-amsterdam / skippa
  SciKIt-learn Pipeline in PAndas
  ☆42Updated last year
• heidelbergcement / hcrystalball
  A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…
  ☆151Updated last year
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated 2 years ago
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆206Updated 4 months ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆104Updated last year
• facultyai / hiplot-mlflow
  HiPlot fetcher for experiments logged with MLflow
  ☆14Updated 2 years ago
• online-ml / beaver
  🦫 MLOps for (online) machine learning
  ☆85Updated 11 months ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 years ago
• oracle / macest
  Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
  ☆100Updated last year
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆106Updated 2 years ago
• koaning / memo
  Decorators that logs stats.
  ☆109Updated this week
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆29Updated 4 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated last month
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• anodot / MLWatcher
  ☆96Updated 4 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆97Updated 6 months ago
• firmai / datagene
  DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
  ☆205Updated 3 years ago
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆37Updated 2 months ago
• MLBazaar / MLBlocks
  A library for composing end-to-end tunable machine learning pipelines.
  ☆115Updated last month
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆162Updated last month
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• whiteboxml / teaching-ml-in-production
  ☆54Updated 2 years ago
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆210Updated last month
• tgoldenberg / kedro-mlflow-example
  ☆43Updated 2 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆131Updated 4 months ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated 2 years ago
• tgsmith61591 / skoot
  A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…
  ☆57Updated 3 years ago
• aporia-ai / inferencedb
  🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
  ☆79Updated 2 years ago
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆69Updated last week