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The Binder Project |
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Reproducible, sharable, interactive computing environments |
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The Binder project offers an easy place to share computing environments to everyone. It allows users to specify custom environments and share them with a single link. Use-cases involve workshops, scientific workflows and streamline sharing among teams.
The Binder Project builds tools that reward best-practices in reproducible data science by utilizing community-developed standards for reproducibility. When repositories follow these best-practices and are hosted in an online repository, then Binder automatically builds a linkable environment anybody can access.
- Teaching and training - Binder lets you share links to interactive data analytics environments with your students. This is great for workshops, tutorials, and classes and allows you to get students up-and-running with the code much more quickly. For example, Software Carpentry uses Binder links for their novice Python lesson.
- Technical documentation - Binder tools can be used to provide interactivity to documentation and demonstrations of tools. It has been used extensively (Scipy and Pycon workshops. "do you also love spending the first half of your workshop sorting out how to install stuff?"). For example, the scikit-learn documentation uses Binder to let users try their examples.
- Open educational resources - Want to share educational materials that use data science and are publicly accessible? Binder can provide interactivity to readers, allowing them a more rich experience with your content. For example, UC Berkeley uses Binder to let others interact with open data science textbooks.
- Reproducible scientific analysis - Binder allows you to share an interactive environment along with your code and analysis. You can share a link that lets others reproduce and interact with your work. For example, the Neurolibre project uses Binder to reproduce neuroscience analyses.
The Binder Project uses the following principles in designing its technology and the practices around it. This is a non-exhaustive list.
- Repositories should be human and machine readable.
- Use existing specifications and standards if they exist. Adopt new specifications in consultation with the communities that Binder serves.
- Support many languages and interfaces. Be as workflow-agnostic as possible.
- Be lightweight and tightly-scoped, but extendable to new workflows, platforms, cloud vendors, etc.
In short, if you follow best-practices in computational science, your repository should work with Binder.
Binder is entirely powered by an open-source infrastructure stack. Its main two tools are BinderHub, which is an open-source tool that deploys the Binder service in the cloud, and repo2docker, which generates reproducible Docker images from a git repository. The Binder team also runs a public BinderHub deployment at mybinder.org as a free public service for the community.
Here's a link to the repo2docker repository
repo2docker is a lightweight tool that converts code repositories into reproducible Docker images. It defines the Reproducible Execution Environment Specification, which is used to define rules for converting repository configuration files into Docker images.
repo2docker is used extensively by BinderHub, but can also be run as an independent command line-based tool for generating your own reproducible Docker images that are run with a Jupyter server.
To learn more about repo2docker, see the repo2docker documentation.
Here's a link to the BinderHub repository
BinderHub is a web application that allows users to create sharable, interactive, reproducible environments from code repositories. It uses repo2docker to generate Docker images for each environment, and JupyterHub to provide interactive user sessions from those images.
BinderHub is a web application built on Kubernetes, another open-source tool for managing cloud infrastructure. It is cloud- and hardware-agnostic, making it scalable and flexible and able to accomodate many use-cases and communities. One example of a BinderHub deployment lives at mybinder.org.
To learn how to deploy your own BinderHub, see the BinderHub documentation.
Here's a link to mybinder.org.
The BinderHub deployment at mybinder.org is a free public service that the Binder Community manages for the community. It is actually a federation of many BinderHub deployments that is run as an experiment in open, community-led infrastructure. We run mybinder.org as a radically transparent public service, and as such there is a lot of information out there about the deployment. Here are a few useful resources in case you're interested:
- The mybinder.org grafana chart shows activity and status information about the BinderHub deployment at mybinder.org
- The mybinder.org billing repository has information about the cloud cost associated with running mybinder.org
- The mybinder.org site reliability guide is a resource for the operations team and the community to share best-practices and information about running the public BinderHub deployment at mybinder.org
- The mybinder.org incident reports page contains a list of incidents that have happened in the public deployment, as well as steps taken to resolve them.
Like all Project Jupyter efforts, the Binder Project is an open-source and community-driven project. We'd love for you to join our community and contribute code, time, comments, or appreciation.
- The JupyterHub Team Compass is a resource for the JupyterHub community to share information, team practices, and important information.
- The JupyterHub Teams Page lists the current members of the JupyterHub and Binder teams.
- The JupyterHub Contributing guide is a great place to start learning how you can contribute to the Binder Project.
- The Binder Gitter Channel is where a lot of real-time conversations happen in the Binder community.
- The Binder Community Forum has a lot of community interaction and useful information about using, running, and contributing to Binder.