Skip to main content

A Jupyter and Dask-powered open source data science platform.

Project description

Nebari logo mark - text will be black in light color mode and white in dark color mode.

Your open source data science platform. Built for scale, designed for collaboration.


Information Links
Project License Nebari documentation PyPI conda version
Community GH discussions Open an issue Community guidelines
CI Kubernetes Tests Tests Test Nebari Provider

Table of contents

⚠️ Warning ⚠️ The project has recently been renamed from QHub to Nebari. If your deployment is still managed by qhub, performing an in place upgrade will IRREVOCABLY BREAK your deployment. This will cause you to lose any data stored on the platform, including but not limited to, NFS (file system) data, conda-store environments, Keycloak users and groups, etc. Make sure to back up your data before attempting an upgrade.

Automated data science platform. From JupyterHub to Cloud environments with Dask Gateway.

Nebari is an open source data platform that enables users to build and maintain cost-effective and scalable compute platforms on HPC or Kubernetes with minimal DevOps overhead.

This repository details the Nebari (Kubernetes) version.

Not sure what to choose? Check out our documentation on choosing a deployment platform

Nebari

The Kubernetes version of Nebari uses Terraform, Helm, and GitHub Actions.

  • Terraform handles the build, change, and versioning of the infrastructure.
  • Helm helps to define, install, and manage Kubernetes resources.
  • GitHub Actions is used to automatically create commits when the configuration file (nebari-config.yaml) is rendered, as well as to kick off the deployment action.

Nebari aims to abstract all these complexities for its users. Hence, it is not necessary to know any of the technologies mentioned above to have your project successfully deployed.

TLDR: If you know GitHub and feel comfortable generating and using API keys, you should have all it takes to deploy and maintain your system without the need for a dedicated DevOps team. No need to learn Kubernetes, Terraform, or Helm.

Cloud Providers ☁️

Nebari offers out-of-the-box support for the major public cloud providers: Digital Ocean, Amazon AWS, GCP, and Microsoft Azure. High-level illustration of Nebari architecture

Installation 💻

Pre-requisites

  • Operating System: Currently, Nebari supports development on macOS and Linux operating systems. Windows is NOT supported. However, we would welcome contributions that add and improve support for Windows.
  • You need Python >= 3.7 on your local machine or virtual environment to work on Nebari.
  • Adopting virtual environments (conda, pipenv or venv) is also encouraged.

Install Nebari

To install Nebari type the following commands in your command line:

  • Install using conda:

    conda install -c conda-forge nebari
    
    # if you prefer using mamba
    mamba install -c conda-forge nebari
    
  • Install using pip:

    pip install nebari
    

Once finished, you can check Nebari's version (and additional CLI arguments) by typing:

nebari --help

If successful, the CLI output will be similar to the following:

usage: nebari [-h] [-v] {deploy,destroy,render,init,validate} ...

Nebari command line

positional arguments:
  {deploy,destroy,render,init,validate}
                        Nebari

optional arguments:
  -h, --help            show this help message and exit
  -v, --version         Nebari version

Usage 🚀

Nebari requires setting multiple environment variables to automate the deployments fully. For details on obtaining those variables, check the Nebari Get started documentation.

Once all the necessary credentials are gathered and set as UNIX environment variables, Nebari can be deployed in minutes.

For detailed step-by-step instructions on how to deploy Nebari, check the Nebari documentation.

Nebari HPC

An HPC version of Nebari is currently not available. There is one under development for Nebaris precursor QHub. Curious? Check out the QHub HPC repository.

Contributing to Nebari 👩🏻‍💻

Thinking about contributing? Check out our Contribution Guidelines to get started.

Installing the Development version of Nebari ⚙️

To install the latest developer version (unstable) use:

pip install git+https://github.com/nebari-dev/nebari.git

Questions? 🤔

Have a look at our Frequently Asked Questions (FAQ) to see if your query has been answered.

Getting help:

  • GitHub Discussions is our user forum. It can be used to raise discussions about a subject, such as: "What is the recommended way to do X with Nebari?"
  • Issues for queries, bug reporting, feature requests, documentation, etc.

We work around the clock to make Nebari better, but sometimes your query might take a while to get a reply. We apologize in advance and ask you to please, be patient :pray:.

Code of Conduct 📖

To guarantee a welcoming and friendly community, we require all community members to follow our Code of Conduct.

Ongoing Support

The v0.4.0 release introduced many changes that will irrevocably break your deployment if you attempt an in-place upgrade; for details, see our RELEASE notes. To focus on the future direction of the project, we have decided as a team that we will provide limited support for older versions. Any new user is encouraged to use v0.4.0 or greater.

If you're using an older version of Nebari and would like professional support, please get in touch with the Nebari development team.

License

Nebari is BSD3 licensed.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nebari-2023.7.2rc1.tar.gz (380.5 kB view details)

Uploaded Source

Built Distribution

nebari-2023.7.2rc1-py3-none-any.whl (412.9 kB view details)

Uploaded Python 3

File details

Details for the file nebari-2023.7.2rc1.tar.gz.

File metadata

  • Download URL: nebari-2023.7.2rc1.tar.gz
  • Upload date:
  • Size: 380.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for nebari-2023.7.2rc1.tar.gz
Algorithm Hash digest
SHA256 223acf1b3f2c91e1a14c1fae5029f13338cf11e6a8790481edcf74633f82d172
MD5 612bd79b79f1fd22d671e4696399ee6f
BLAKE2b-256 e75283a9ecb589e9e673ebc696350dc4f5f6ac48ad8da779dafe6fed59b49ce8

See more details on using hashes here.

File details

Details for the file nebari-2023.7.2rc1-py3-none-any.whl.

File metadata

  • Download URL: nebari-2023.7.2rc1-py3-none-any.whl
  • Upload date:
  • Size: 412.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for nebari-2023.7.2rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 a1f95bddd0381c06028a84370c3f3bc0d88cfc98f87b0e5eef122f30abab7446
MD5 ba00756fd5e950967c1af025187d5a45
BLAKE2b-256 856e163810de4ecd8c54d7a68ef890857bf87726a6a7b3e137239fb9dbb2c0f0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page