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Data science, machine learning tools on the cloud

Home Page: https://open-datastudio.io

License: MIT License

machine-learning data-science spark zeppelin notebook jupyter

datastudio's Introduction



Open data studio

Open data studio is an open initiative to bring machine learning and large scale data processing open-source software to click away for everyone.

Documentation

Please visit open-datastudio.io

Projects

Component Project Description Integration Status
Notebook jupyter Jupyter Lab Integrated
zeppelin Integrates with Apache Zeppelin and Apache Spark on Kubernetes mode Integrated
Data Lake hive-metastore Provides hive metastore server with Postgresql database Integrated
spark-thriftserver Spark cluster on Kubernetes for ODBC/JDBC connection Integrated
Computing ray-cluster Ray cluster Integrated
spark-serverless On-demand Spark cluster from everywhere Integrated
Machine learning mlflow-server MLflow model remote tracking server and ui Integrated
mlflow-model-serving Deploy models from mlflow-server and get endpoint Integrated
Business Intelligence metabase Metabase Business Intelligence Integrated
superset Apache Superset Business Intelligence Integrated
Misc spark It does not integrates to Staroid but publishes docker image for other projects -

How to contribute?

You can create issues or pull requests to contribute individual repositories under open-datasicence.

If you'd like to create a new integration project here, please create an issue in this repository.

We need your help!

Community

  • Open data studio slack channel - Join

License

Open data studio is an open source projects. LICENSE file is included in each repository.

datastudio's People

Contributors

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Stargazers

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Watchers

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Forkers

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datastudio's Issues

MLflow integration

MLflow is an open source platform for the machine learning lifecycle. It consists of

  • Tracking
  • Projects
  • Models
  • Model registry

Integration idea is

Project Description
open-datastudio/mlflow-server Provide mlflow server with Postgres backend store, configurable artifact store with default PersistentVolume, for Tracking and Model registry, as well as UI
open-datastudio/mlflow-model-serving Container for an instance of a model deployed. Deploying a model creates an instance of this project in staroid
open-datastudio/mlflow-model-deploy-plugin deployment plugin for staroid. Publish to PyPI registry

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