| Name | ploomber JSON |
| Version |
0.23.2
JSON |
| download |
| home_page | https://github.com/ploomber/ploomber |
| Summary | Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to the cloud. |
| upload_time | 2024-02-08 01:24:19 |
| maintainer | |
| docs_url | None |
| author | Ploomber |
| requires_python | |
| license | |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
<p align="center" width="100%">
<img src="_static/logo.png" height="250">
</p>
[](https://github.com/ploomber/ploomber/actions/workflows/ci-unit-linux.yml/badge.svg)
[](https://github.com/ploomber/ploomber/actions/workflows/ci-unit-macos.yml/badge.svg)
[](https://github.com/ploomber/ploomber/actions/workflows/ci-unit-windows.yml/badge.svg)
[](https://docs.ploomber.io/en/latest/?badge=latest)
[](https://badge.fury.io/py/ploomber)
[](https://anaconda.org/conda-forge/ploomber)
[](https://anaconda.org/conda-forge/ploomber)
[](https://coveralls.io/github/ploomber/ploomber?branch=master)
[](https://twitter.com/intent/user?screen_name=ploomber)
[](https://pepy.tech/project/ploomber)
> [!TIP]
> Deploy AI apps for free on [Ploomber Cloud!](https://ploomber.io/?utm_medium=github&utm_source=ploomber)
<p align="center">
<a href="https://ploomber.io/community">Join our community</a>
|
<a href="https://share.hsforms.com/1E7Qa_OpcRPi_MV-segFsaAe6c2g">Newsletter</a>
|
<a href="mailto:contact@ploomber.io">Contact us</a>
|
<a href="https://docs.ploomber.io/">Docs</a>
|
<a href="https://ploomber.io/blog/">Blog</a>
|
<a href="https://www.ploomber.io">Website</a>
|
<a href="https://www.youtube.com/channel/UCaIS5BMlmeNQE4-Gn0xTDXQ">YouTube</a>
</p>
Ploomber is the fastest way to build data pipelines ⚡️. Use your favorite editor (**[Jupyter](https://docs.ploomber.io/en/latest/user-guide/jupyter.html), [VSCode](https://docs.ploomber.io/en/latest/user-guide/editors.html), [PyCharm](https://docs.ploomber.io/en/latest/user-guide/editors.html)**) to develop interactively and deploy ☁️ without code changes (**[Kubernetes](https://soopervisor.readthedocs.io/en/latest/tutorials/kubernetes.html), [Airflow](https://soopervisor.readthedocs.io/en/latest/tutorials/airflow.html), [AWS Batch](https://soopervisor.readthedocs.io/en/latest/tutorials/aws-batch.html), and [SLURM](https://soopervisor.readthedocs.io/en/latest/tutorials/slurm.html)**). Do you have legacy notebooks? Refactor them into modular pipelines with a single command.
## Installation
*Compatible with Python 3.7 and higher.*
Install with `pip`:
```sh
pip install ploomber
```
Or with `conda`:
```sh
conda install ploomber -c conda-forge
```
## Getting started
### Try the tutorial:
<p>
<a href="https://github.com/ploomber/projects/blob/master/guides/first-pipeline/README.md"> </a>
</p>
## Community
* [Join us on Slack](https://ploomber.io/community)
* [Newsletter](https://share.hsforms.com/1E7Qa_OpcRPi_MV-segFsaAe6c2g)
* [YouTube](https://www.youtube.com/channel/UCaIS5BMlmeNQE4-Gn0xTDXQ)
* [Contact the development team](mailto:contact@ploomber.io)
## Main Features
### ⚡️ Get started quickly
A simple YAML API to get started quickly, a powerful Python API for total flexibility.
https://user-images.githubusercontent.com/989250/150660813-fc289c6c-0ed5-432d-b6df-063ce98c0093.mp4
### ⏱ Shorter development cycles
Automatically cache your pipeline’s previous results and only re-compute tasks that have changed since your last execution.
https://user-images.githubusercontent.com/989250/150660820-9a3a0abd-5904-492b-97ff-5494285dfebf.mp4
### ☁️ Deploy anywhere
Run as a shell script in a single machine or distributively in [Kubernetes](https://soopervisor.readthedocs.io/en/latest/tutorials/kubernetes.html), [Airflow](https://soopervisor.readthedocs.io/en/latest/tutorials/airflow.html), [AWS Batch](https://soopervisor.readthedocs.io/en/latest/tutorials/aws-batch.html), or [SLURM](https://soopervisor.readthedocs.io/en/latest/tutorials/slurm.html).
https://user-images.githubusercontent.com/989250/150660830-3f81c9a2-5392-49e5-976d-cb8a38441ecb.mp4
### 📙 Automated migration from legacy notebooks
Bring your old monolithic notebooks, and we’ll automatically convert them into maintainable, modular pipelines.
https://user-images.githubusercontent.com/989250/150660840-b0c12f85-504c-4233-8c3d-6724d291f1aa.mp4
[I want to migrate my notebook.](https://docs.ploomber.io/en/latest/user-guide/refactoring.html)
[Show me a demo.](https://www.youtube.com/watch?v=EJecqsZBr3Q)
## Resources
* [Documentation](https://docs.ploomber.io/)
* [PyData Chicago talk (covers motivation and demo)](https://youtu.be/qUL7QabcKcw)
* [Develop and deploy an ML pipeline in 30 minutes (EuroPython 2021)](https://youtu.be/O8tqiCkIWPs)
* [Guest blog post on the official Jupyter blog](https://blog.jupyter.org/ploomber-maintainable-and-collaborative-pipelines-in-jupyter-acb3ad2101a7)
* [Examples (Machine Learning pipeline, ETL, among others)](https://github.com/ploomber/projects)
* [Blog](https://ploomber.io/)
* [Comparison with other tools](https://ploomber.io/posts/survey)
* [More videos](https://docs.ploomber.io/en/latest/videos.html)
## About Ploomber
Ploomber is a big community of data enthusiasts pushing the boundaries of Data Science and Machine Learning tooling.
Whatever your skillset is, you can contribute to our mission. So whether you're a beginner or an experienced professional, you're welcome to join us on this journey!
[Click here to know how you can contribute to Ploomber.](https://github.com/ploomber/contributing/blob/main/README.md)
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"description": "<p align=\"center\" width=\"100%\">\n <img src=\"_static/logo.png\" height=\"250\">\n</p>\n\n[](https://github.com/ploomber/ploomber/actions/workflows/ci-unit-linux.yml/badge.svg)\n[](https://github.com/ploomber/ploomber/actions/workflows/ci-unit-macos.yml/badge.svg)\n[](https://github.com/ploomber/ploomber/actions/workflows/ci-unit-windows.yml/badge.svg)\n[](https://docs.ploomber.io/en/latest/?badge=latest)\n[](https://badge.fury.io/py/ploomber)\n[](https://anaconda.org/conda-forge/ploomber)\n[](https://anaconda.org/conda-forge/ploomber)\n[](https://coveralls.io/github/ploomber/ploomber?branch=master)\n[](https://twitter.com/intent/user?screen_name=ploomber)\n[](https://pepy.tech/project/ploomber)\n\n> [!TIP]\n> Deploy AI apps for free on [Ploomber Cloud!](https://ploomber.io/?utm_medium=github&utm_source=ploomber)\n\n<p align=\"center\">\n <a href=\"https://ploomber.io/community\">Join our community</a>\n |\n <a href=\"https://share.hsforms.com/1E7Qa_OpcRPi_MV-segFsaAe6c2g\">Newsletter</a>\n |\n <a href=\"mailto:contact@ploomber.io\">Contact us</a>\n |\n <a href=\"https://docs.ploomber.io/\">Docs</a>\n |\n <a href=\"https://ploomber.io/blog/\">Blog</a>\n | \n <a href=\"https://www.ploomber.io\">Website</a>\n |\n <a href=\"https://www.youtube.com/channel/UCaIS5BMlmeNQE4-Gn0xTDXQ\">YouTube</a>\n</p>\n\n\nPloomber is the fastest way to build data pipelines \u26a1\ufe0f. Use your favorite editor (**[Jupyter](https://docs.ploomber.io/en/latest/user-guide/jupyter.html), [VSCode](https://docs.ploomber.io/en/latest/user-guide/editors.html), [PyCharm](https://docs.ploomber.io/en/latest/user-guide/editors.html)**) to develop interactively and deploy \u2601\ufe0f without code changes (**[Kubernetes](https://soopervisor.readthedocs.io/en/latest/tutorials/kubernetes.html), [Airflow](https://soopervisor.readthedocs.io/en/latest/tutorials/airflow.html), [AWS Batch](https://soopervisor.readthedocs.io/en/latest/tutorials/aws-batch.html), and [SLURM](https://soopervisor.readthedocs.io/en/latest/tutorials/slurm.html)**). Do you have legacy notebooks? Refactor them into modular pipelines with a single command.\n\n\n## Installation\n\n*Compatible with Python 3.7 and higher.*\n\nInstall with `pip`:\n\n```sh\npip install ploomber\n```\n\nOr with `conda`:\n\n```sh\nconda install ploomber -c conda-forge\n```\n\n## Getting started\n\n### Try the tutorial:\n<p>\n <a href=\"https://github.com/ploomber/projects/blob/master/guides/first-pipeline/README.md\"> </a>\n</p>\n\n## Community\n\n* [Join us on Slack](https://ploomber.io/community)\n* [Newsletter](https://share.hsforms.com/1E7Qa_OpcRPi_MV-segFsaAe6c2g)\n* [YouTube](https://www.youtube.com/channel/UCaIS5BMlmeNQE4-Gn0xTDXQ)\n* [Contact the development team](mailto:contact@ploomber.io)\n\n## Main Features\n\n### \u26a1\ufe0f Get started quickly\n\nA simple YAML API to get started quickly, a powerful Python API for total flexibility.\n\nhttps://user-images.githubusercontent.com/989250/150660813-fc289c6c-0ed5-432d-b6df-063ce98c0093.mp4\n\n### \u23f1 Shorter development cycles\n\nAutomatically cache your pipeline\u2019s previous results and only re-compute tasks that have changed since your last execution.\n\nhttps://user-images.githubusercontent.com/989250/150660820-9a3a0abd-5904-492b-97ff-5494285dfebf.mp4\n\n### \u2601\ufe0f Deploy anywhere\n\nRun as a shell script in a single machine or distributively in [Kubernetes](https://soopervisor.readthedocs.io/en/latest/tutorials/kubernetes.html), [Airflow](https://soopervisor.readthedocs.io/en/latest/tutorials/airflow.html), [AWS Batch](https://soopervisor.readthedocs.io/en/latest/tutorials/aws-batch.html), or [SLURM](https://soopervisor.readthedocs.io/en/latest/tutorials/slurm.html).\n\nhttps://user-images.githubusercontent.com/989250/150660830-3f81c9a2-5392-49e5-976d-cb8a38441ecb.mp4\n\n\n### \ud83d\udcd9 Automated migration from legacy notebooks\n\nBring your old monolithic notebooks, and we\u2019ll automatically convert them into maintainable, modular pipelines.\n\nhttps://user-images.githubusercontent.com/989250/150660840-b0c12f85-504c-4233-8c3d-6724d291f1aa.mp4\n\n\n[I want to migrate my notebook.](https://docs.ploomber.io/en/latest/user-guide/refactoring.html)\n\n[Show me a demo.](https://www.youtube.com/watch?v=EJecqsZBr3Q)\n\n## Resources\n\n* [Documentation](https://docs.ploomber.io/)\n* [PyData Chicago talk (covers motivation and demo)](https://youtu.be/qUL7QabcKcw)\n* [Develop and deploy an ML pipeline in 30 minutes (EuroPython 2021)](https://youtu.be/O8tqiCkIWPs)\n* [Guest blog post on the official Jupyter blog](https://blog.jupyter.org/ploomber-maintainable-and-collaborative-pipelines-in-jupyter-acb3ad2101a7)\n* [Examples (Machine Learning pipeline, ETL, among others)](https://github.com/ploomber/projects)\n* [Blog](https://ploomber.io/)\n* [Comparison with other tools](https://ploomber.io/posts/survey)\n* [More videos](https://docs.ploomber.io/en/latest/videos.html)\n\n## About Ploomber\n\nPloomber is a big community of data enthusiasts pushing the boundaries of Data Science and Machine Learning tooling.\n\nWhatever your skillset is, you can contribute to our mission. 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