# pydoit/doit

CLI task management & automation tool

Repository: https://github.com/pydoit/doit
Canonical: https://ross.abutalabs.com/products/doit
Homepage: http://pydoit.org
Language: Python
License: MIT
License Family: permissive
Topics: python, build-tool, build-automation, task-runner, build-system, workflow-management, data-pipeline, workflow, workflow-automation, data-science, hacktoberfest, cli
Last push: 2026-02-12T12:57:06+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 67, release rhythm 35, longevity 100
- inputs: {"age_days": 4583, "days_push": 202, "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 2083, forks 194 (observed 2026-08-28T04:06:11.745561+00:00)

## What it is
doit is a Python-native task management and automation tool similar to make, where tasks are defined as plain Python functions and dicts in a dodo.py file. It tracks file dependencies, executes tasks as a DAG, and incrementally skips tasks that are already up-to-date.

## Use cases
- run build steps only when inputs changed
- replace make with a python task runner
- automate data pipelines with dependency ordering
- run independent tasks in parallel
- generate tasks programmatically from python
- automate code generation and resource builds

## When to choose
- you want build automation in pure Python without a DSL or YAML
- you need incremental builds with flexible up-to-date checks
- you need DAG execution with parallel task running
- you want to generate tasks dynamically or use custom dependency logic

## When to avoid
- you need a full CI/CD pipeline system rather than a local task runner
- your team prefers declarative YAML/DSL configuration
- you need a heavyweight build system with deep language toolchain integration

## Facets
- artifact type: cli-tool
- maturity: active
- function: build-tool, cli, workflow-automation, etl, scheduling
- domain: developer-tools
- platform: python, cli, cross-platform
- tags: task-runner, build-automation, incremental-builds, dag-execution, make-alternative, pipeline, automation, command-line, data-engineering

## Member repositories
- pydoit/doit (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:11.745561+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 2026-08-30T02:55:53.960941+00:00, confidence not recorded.
  - readme: https://github.com/pydoit/doit (fetched 2026-08-28T04:06:11.745561+00:00, sha 27d4c1069be7)
  - homepage: http://pydoit.org (fetched 2026-08-29T10:35:56.057377+00:00, sha f112adbf043f)
  - registry_pypi: https://pypi.org/pypi/doit/json (fetched 2026-08-29T10:35:56.062521+00:00, sha 69dc182e1e5d)
  - site_page: https://pydoit.org/contents.html (fetched 2026-08-29T10:35:56.060721+00:00, sha 4c783f61e2e0)
- Data as of 2026-08-30T08:39:29.467469+00:00.