Alternatives and similar repositories for monitoring

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

• chassisml / chassis
  Chassis turns machine learning models into portable container images that can run just about anywhere.
  ☆86Updated last year
• deepchecks / monitoring-oss
  💯 OSS version of Deepchecks' monitoring platform, synced from https://github.com/deepchecks/monitoring
  ☆15Updated 3 months ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• bytehub-ai / bytehub
  ByteHub: making feature stores simple
  ☆61Updated 4 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• ploomber / soorgeon
  Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊
  ☆79Updated last year
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆70Updated last month
• sicara / pycon-2022-dvc-streamlit
  PyCon Talks 2022 by Antoine Toubhans
  ☆23Updated 3 years ago
• sicara / dvc-streamlit-example
  Dvc + Streamlit = ❤️
  ☆40Updated last year
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• orchest / orchest-examples
  Awesome Orchest projects, both official and submitted by the community.
  ☆25Updated 2 years ago
• omegaml / omegaml
  MLOps simplified. One-stop AI delivery platform, all the features you need.
  ☆103Updated 3 weeks ago
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated this week
• alteryx / woodwork
  Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
  ☆155Updated last month
• 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 last year
• ballet / ballet
  ☀️🦶 A lightweight framework for collaborative, open-source feature engineering
  ☆33Updated 3 years ago
• data-science-lab-amsterdam / skippa
  SciKIt-learn Pipeline in PAndas
  ☆42Updated 2 years ago
• composable-logs / composable-logs
  Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documen…
  ☆18Updated 2 years ago
• smazzanti / tds_you_dont_need_statistics_to_run_experiments
  ☆13Updated last year
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆55Updated 2 months ago
• Ark-kun / google_cloud_mlflow
  Experimental MLflow plugin for Google Cloud Vertex AI
  ☆38Updated 4 months ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆213Updated 11 months ago
• facebookarchive / fronni
  machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast
  ☆17Updated 3 years ago
• alexcoca / DistributedKernelShap
  ☆12Updated 5 years ago
• anovos / anovos
  Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark
  ☆74Updated 2 years ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 7 months ago
• sdv-dev / RDT
  A library of Reversible Data Transforms
  ☆128Updated this week
• aporia-ai / inferencedb
  🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
  ☆81Updated 3 years ago
• oskar-j / awesome-auto-ml
  Awesome list of AutoML frameworks - curated by @oskar-j
  ☆30Updated 2 years ago