Bonobo vs jq
Bonobo
bonobo-project.orgjq
jqlang.orgSide by side
| Figure | Bonobo | jq |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| 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) | 8.6 (#9) |
| License | Bonobo and its extensions are released under the Apache License 2.0. | jq code is licensed under the MIT license, while its documentation is licensed under CC-BY-3.0. |
| Purpose | Bonobo is a lightweight Python ETL framework for building data transformation pipelines. | jq is a lightweight, flexible command-line JSON processor for slicing, filtering, mapping, and transforming structured data. |
| Support | The project points users to GitHub issues, Slack discussions, and Stack Overflow for community help. | The project points users to Stack Overflow, the #jq Libera.Chat channel, and its Discord server for questions and discussion. |
| Transformations | Transformations can be plain Python or provided transformation classes, and the site describes them as small, scoped units intended to improve testability and maintenance. | jq filters can select data, access nested attributes, build objects, and collect results into arrays. |
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.
jq
jq is a free command-line processor for selecting and transforming JSON data. A jq filter takes an input and produces output; filters can be combined to access nested attributes, construct objects, gather results into arrays, or make other transformations. It reads whitespace-separated JSON values and writes serialized results separated by whitespace. Each expression runs on each input value and may produce zero or more outputs. For very large inputs, the --stream option parses incrementally. Output options include compact, raw, ASCII, sorted-key, and colored forms. Written in portable C, jq has no runtime dependencies, and a standalone binary can be copied to another machine of the same type. Standalone executables are available for Linux, macOS, and Windows, with packages listed for Linux distributions and package managers including Homebrew, MacPorts, winget, Scoop, and Chocolatey. A Docker image is also available. Release binaries have SHA-256 checksums, and signed release artifacts use jq release keys. The code is licensed under MIT; the documentation uses CC-BY-3.0.