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python-bonobo/bonobo

Extract Transform Load for Python 3.5+ observed · 2026-08-28

github.com/python-bonobo/bonobo · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3554
  • days_rel: n/a
  • days_push: 1209
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1613 stars · 145 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

framework · maturity maintenance

etl data-science cli workflow-automation developer-tools python windows cli etl-framework data-pipelines directed-graph parallel-processing extract-transform-load data-engineering automation linux macos

7 sources

Member repositories

RepositoryRoleHealth v2
python-bonobo/bonobomain32

For agents

markdown · JSON · MCP: product_card(name="python-bonobo/bonobo")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem