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https://github.com/orchest/orchest

Build data pipelines, the easy way 🛠️
https://github.com/orchest/orchest

airflow cloud dag data-pipelines data-science deployment docker etl etl-pipeline ide jupyter jupyterlab kubernetes machine-learning notebooks orchest pipelines python self-hosted

Last synced: 26 days ago
JSON representation

Build data pipelines, the easy way 🛠️

Host: GitHub
URL: https://github.com/orchest/orchest
Owner: orchest
License: apache-2.0
Created: 2020-05-21T17:33:05.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2023-06-06T09:48:26.000Z (over 1 year ago)
Last Synced: 2024-04-14T12:10:21.818Z (7 months ago)
Topics: airflow, cloud, dag, data-pipelines, data-science, deployment, docker, etl, etl-pipeline, ide, jupyter, jupyterlab, kubernetes, machine-learning, notebooks, orchest, pipelines, python, self-hosted
Language: TypeScript
Homepage: https://orchest.readthedocs.io/en/stable/
Size: 27.2 MB
Stars: 4,019
Watchers: 43
Forks: 251
Open Issues: 128
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS
- Security: SECURITY.md

Awesome Lists containing this project

awesome-ccamel - orchest/orchest - Build data pipelines, the easy way 🛠️ (TypeScript)
awesome-starred - orchest/orchest - Build data pipelines, the easy way 🛠️ (machine-learning)
awesome-argo - Orchest

README

        




  











Notice: we’re no longer actively developing Orchest. We could not find a way to make building a workflow orchestrator commercially viable. Check out Apache Airflow for a robust workflow solution.


## Build data pipelines, the easy way 🙌

No frameworks. No YAML. Just write your data processing code directly in **Python**, **R** or

**Julia**.



  





  💡 Watch the full narrated video to learn more about building data pipelines in Orchest.

 


> **Note**: Orchest is in **beta**.

## Features

- **Visually construct pipelines** through our user-friendly UI

- **Code in Notebooks** and scripts

  ([quickstart](https://docs.orchest.io/en/stable/getting_started/quickstart.html))

- Run any subset of a pipelines directly or periodically

  ([jobs](https://docs.orchest.io/en/stable/fundamentals/jobs.html))

- Easily define your dependencies to run on **any machine**

  ([environments](https://docs.orchest.io/en/stable/fundamentals/environments.html))

- Spin up services whose lifetime spans across the entire pipeline run

  ([services](https://docs.orchest.io/en/stable/fundamentals/services.html))

- Version your projects using git

  ([projects](https://docs.orchest.io/en/stable/fundamentals/projects.html))

**When to use Orchest?** Read it in the

[docs](https://docs.orchest.io/en/stable/getting_started/when_to_use_orchest.html).

👉 Get started with our

[quickstart](https://docs.orchest.io/en/stable/getting_started/quickstart.html) tutorial or have a look at our [video tutorials](https://www.orchest.io/video-tutorials) explaining some of Orchest's core concepts.

## Roadmap

Missing a feature? Have a look at [our public roadmap](https://github.com/orgs/orchest/projects/1)

to see what the team is working on in the short and medium term.

Still missing it? Please [let us know by opening an issue](https://github.com/orchest/orchest/issues/new/choose)!

## Examples

Get started with an example project:

- [Train and compare 3 regression models](https://github.com/orchest/quickstart)

- [Connecting to an external database using SQLAlchemy](https://github.com/astrojuanlu/orchest-sqlalchemy)

- [Run dbt in Orchest for a dbt + Python transform pipeline](https://github.com/ricklamers/orchest-dbt)

- [Use PySpark in Orchest](https://github.com/ricklamers/orchest-hello-spark)

👉 Check out the full list of [example projects](https://github.com/orchest/orchest-examples).

[![Open in Orchest](https://github.com/orchest/orchest-examples/raw/main/imgs/open_in_orchest_large.svg)](https://cloud.orchest.io/)

## Installation

Want to skip [the installation](https://docs.orchest.io/en/stable/getting_started/installation.html)

and jump right in? Then try out our managed service: [Orchest Cloud](https://cloud.orchest.io/signup).

## Slack Community

Join our Slack to chat about Orchest, ask questions, and share tips.

[![Join us on Slack](https://img.shields.io/badge/%20-Join%20us%20on%20Slack-blue?style=for-the-badge&logo=slack&labelColor=5c5c5c)](https://join.slack.com/t/orchest/shared_invite/zt-g6wooj3r-6XI8TCWJrXvUnXKdIKU_8w)

## License

The software in this repository is licensed as follows:

- All content residing under the ` orchest-sdk/` and `orchest-cli/` directories of this repository

  are licensed under the `Apache-2.0` license as defined in `orchest-sdk/LICENSE` and

  `orchest-cli/LICENSE` respectively.

- Content outside of the above mentioned directories is available under the `AGPL-3.0` license.

## Contributing

Contributions are more than welcome! Please see our [contributor

guides](https://docs.orchest.io/en/stable/development/contributing.html) for more details.

Alternatively, you can submit your pipeline to the curated list of [Orchest

examples](https://github.com/orchest/orchest-examples) that are automatically loaded in every

Orchest deployment! 🔥

## Contributors