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Build data pipelines, the easy way 🛠️

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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 <a target="_blank" href="https://vimeo.com/764866337">full narrated video</a> 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

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