shapeletsdev/shapelets-platform repository overview

⁠Shapelets Platform

Docs⁠ | Releases⁠ | Examples⁠ | Resources⁠

⁠Making the most of your data processing platform

Shapelets is a data science and time series ecosystem for data scientists, and business analysts to bring your ideas to life, and a great opportunity for data engineers and architects to deliver rapid solutions across their organization.

⁠Why is Shapelets special?

1. Much faster performance with much less resources.

2. Accelerated development of time series analytics.

3. Unlimited users and pay per use.

⁠Getting Started

Develop accelerated solutions that integrate seamlessly with your data ecosystem.

If you want to install Shapelets on a Docker container, we recommend you use our Docker Image, you can download it with:

docker pull shapeletsdev/shapelets-platform:latest

If you wish to install Shapelets on a Docker container, we recommend using our Docker image. You can download it with:

docker run --name shapelets -p 4567:4567 -d -v /[...]:/io shapeletsdev/shapelets-platform:latest

[...] = insert your own directory

This Docker image needs to expose the 4567 port, and we recommend that you create a volume to share your local scripts with the Docker container.

Now open your web browser and try http://localhost:4567

⁠Recommendations

Once you install Shapelets, you are ready to use it. If you want a recommendation about development environments, we recommend you:

• To write and execute code interactively for exploratory data analysis and processing, use notebooks in JupyterLab⁠.
• To write large scripts for processing data or build DataApps use an IDE, like Visual Studio Code⁠.

⁠Helpful links

• Documentation⁠
• Releases⁠
• Examples⁠