Bonobo vs pandas
Bonobo
bonobo-project.orgpandas
pandas.pydata.orgSide by side
| Figure | Bonobo | pandas |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Transformation Tools | 8.9 (#7) | 7.6 (#26) |
| Integrations | The SQLAlchemy extension adds capabilities for extracting from and loading into SQL databases. | Optional dependencies add features for Excel, SQL databases, cloud storage such as Amazon S3 and Google Cloud Storage, plotting, and other tasks. |
| Purpose | Bonobo is a lightweight Python ETL framework for building data transformation pipelines. | pandas is an open-source tool for data analysis and manipulation built on Python. |
| Support | The project points users to GitHub issues, Slack discussions, and Stack Overflow for community help. | The website directs users to ask questions on Stack Overflow and provides documentation and community tutorials. |
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.