# python-bonobo/bonobo

Extract Transform Load for Python 3.5+

Repository: https://github.com/python-bonobo/bonobo
Canonical: https://ross.abutalabs.com/products/bonobo
Homepage: https://www.bonobo-project.org/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: data-processing, extract-transform-load, bonobo, python3, automation, parallelization
Last push: 2023-05-12T06:19:51+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3554, "days_push": 1209, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1613, forks 145 (observed 2026-08-28T04:05:11.221714+00:00)

## What it is
Bonobo is a lightweight extract-transform-load (ETL) framework for Python 3.5+ that streams data through a directed acyclic graph of plain Python callables, executing transformations in parallel row by row. It includes built-in readers/writers for common formats (CSV, JSON, XML, Excel) and a CLI for running and monitoring jobs.

## Use cases
- build etl pipelines in python
- convert csv to  with transformations
- extract data from excel and load into a database
- run parallel data transformation jobs
- clean and reshape data files without big data tooling
- schedule lightweight data processing scripts

## When to choose
- you want a simple, pythonic ETL toolkit for small-to-medium scale data
- you prefer writing plain functions and generators over learning a new DSL
- you need built-in support for CSV, JSON, XML, Excel, and SQL sources
- you want atomic, easily unit-testable transformations executed in parallel

## When to avoid
- you need big-data scale distributed processing (use Spark or similar)
- you need a fully stable 1.0 API - Bonobo is still pre-1.0 and APIs may change
- you need actively developed software with frequent releases
- you need a client-server or daemon-based data platform

## Facets
- artifact type: framework
- maturity: maintenance
- function: etl, data-science, cli, workflow-automation
- domain: developer-tools
- platform: python, windows, cli
- tags: etl-framework, data-pipelines, directed-graph, parallel-processing, extract-transform-load, data-engineering, automation, linux, macos

## Member repositories
- python-bonobo/bonobo (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:11.221714+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:51:07.883911+00:00, confidence not recorded.
  - readme: https://github.com/python-bonobo/bonobo (fetched 2026-08-28T04:05:11.221714+00:00, sha 04b22c0970d5)
  - homepage: https://www.bonobo-project.org/ (fetched 2026-08-29T11:23:05.210344+00:00, sha 158db9d13818)
  - site_page: https://www.bonobo-project.org/getting-started (fetched 2026-08-29T11:23:05.219534+00:00, sha 47050ed6752b)
  - site_page: http://docs.bonobo-project.org/en/master (fetched 2026-08-29T11:23:05.221333+00:00, sha 5a5ac04882d2)
  - site_page: http://docs.bonobo-project.org/en/develop (fetched 2026-08-29T11:23:05.223138+00:00, sha 28b9a1ac3b04)
  - site_page: http://docs.bonobo-project.org/ (fetched 2026-08-29T11:23:05.224681+00:00, sha 5a5ac04882d2)
  - registry_pypi: https://pypi.org/pypi/bonobo/json (fetched 2026-08-29T11:23:05.226620+00:00, sha 711c8ccf3c33)
- Data as of 2026-08-30T08:39:29.467469+00:00.