Notice: weβre 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 π No frameworks. No YAML. Just write your data processing code directly in **Python**, **R** or **Julia**.
π‘ 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). π 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) π Check out the full list of [example projects](https://github.com/orchest/orchest-examples). [](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. [](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! π₯ ## Contributors
