Bonobo vs Pipes
Bonobo
bonobo-project.orgPipes
pipes.digitalSide by side
| Figure | Bonobo | Pipes |
|---|---|---|
| Price from | Free | $5/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Data Transformation Tools | 8.9 (#7) | 7.5 (#29) |
| Integrations | The SQLAlchemy extension adds capabilities for extracting from and loading into SQL databases. | The documentation lists Vimeo, Dailymotion, Periscope, Mixcloud, Reddit, SVT Play, Speedrun.com, and YouTube through the Feed block. |
| Purpose | Bonobo is a lightweight Python ETL framework for building data transformation pipelines. | Pipes is a visual editor for fetching, creating, and manipulating feeds by connecting blocks. |
| Support | The project points users to GitHub issues, Slack discussions, and Stack Overflow for community help. | Users can report bugs and request features through the GitHub issue tracker or email [email protected]. |
Plans
In their own words
Bonobo
Bonobo is a free, open-source ETL framework for Python developers building data transformation pipelines. It connects callable or iterable Python objects into directed graphs that it can visualize and execute. Data moves as streams of independent rows, with each node handling one row at a time while nodes can run in parallel. Transformations may be plain Python or transformation classes, organized as small units intended to support testing and maintenance. Built-in extractors and writers cover CSV, JSON, XML and XLS; the framework can also work with sources such as HTTP REST or SOAP APIs, filesystems, storage services, and SQL or NoSQL databases. The SQLAlchemy extension adds SQL database capabilities, while a Docker extension can run a local job with the bonobo runc command. Bonobo can also show live job status in a Jupyter Notebook. It is self-hosted, released under Apache License 2.0, and documented for small-scale data use. The documentation identifies it as alpha, so APIs may change.