# cloud-pipeline

**Repository Path**: mirrors_epam/cloud-pipeline

## Basic Information

- **Project Name**: cloud-pipeline
- **Description**: Cloud agnostic genomics analysis,  scientific computation and storage platform
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: develop
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-08
- **Last Updated**: 2025-12-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Cloud Pipeline

[![Codacy Badge](https://api.codacy.com/project/badge/Grade/2d8f9c0c32814e6ca6669226c565c6e0)](https://app.codacy.com/app/sidoruka/cloud-pipeline?utm_source=github.com&utm_medium=referral&utm_content=epam/cloud-pipeline&utm_campaign=Badge_Grade_Dashboard)
[![Build status](https://ci.appveyor.com/api/projects/status/m381mqegmsmd28d8/branch/develop?svg=true)](https://ci.appveyor.com/project/epam/cloud-pipeline/branch/develop)

`Cloud Pipeline` solution wraps `AWS`, `GCP` and `Azure` compute and storage resources into a single service. Providing an easy and scalable approach to accomplish a wide range of scientific tasks.

- **Data processing**: create data processing pipelines and run them in the Cloud in the automated way. Each pipeline represents a workflow script with versioned source code, documentation, and configuration. You can create such scripts in the `Cloud Pipeline` environment or upload them from the local machine.
- **Data storage management**: create your data storage, download or upload data or edit files right in the `Cloud Pipeline` user interface. File version control is supported.
- **Tools management**: create and deploy your own calculation environment using Docker's container concept. Almost every pipeline requires a specific package of software to run it, which is defined in a docker image. So when you start a pipeline, `Cloud Pipeline` starts a new cloud instance (nodes) and runs a docker image at it.
- **Scientific computing GUI applications**: launch and run GUI-based applications using self-service Web interface. It is possible to choose cloud instance configuration, or even use a cluster. Applications are launched as Docker containers exposing Web endpoints or a remote desktop connection (noVNC, NoMachine).

`Cloud Pipeline` provides a Web-based GUI and also supports CLI, which exposes most of the GUI features.

![CP_General](docs/md/attachments/cloud-pipeline-gui.png)

`Cloud Pipeline` supports `Amazon Web Services` , `Google Cloud Platform` and `Microsoft Azure` Cloud providers to run computing and store data.

## Documentation

Detailed documentation on the `Cloud Pipeline` platform is available via:
* [Documentation site](https://epam.github.io/cloud-pipeline/)
* [Documentation sources](docs/README.md)

## Prebuilt binaries

`Cloud Pipeline` prebuilt binaries are available from the [GitHub Releases page](https://github.com/epam/cloud-pipeline/releases)