# pachyderm/pachyderm

Data-Centric Pipelines and Data Versioning

Repository: https://github.com/pachyderm/pachyderm
Canonical: https://ross.abutalabs.com/products/pachyderm
Homepage: https://www.pachyderm.com/
Language: Go
License: Apache-2.0
License Family: permissive
Topics: go, pachyderm, docker, analytics, big-data, containers, distributed-systems, kubernetes, data-science, data-analysis
Last push: 2025-02-03T22:27:18+00:00

## Health v2 (maintenance only)
Score: 36/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 4, release rhythm 40, longevity 100
- inputs: {"age_days": 4381, "days_push": 576, "days_rel": 595, "gap_med": 19, "n_releases_24m": 6}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6308, forks 579 (observed 2026-08-28T04:09:41.643228+00:00)

## What it is
Pachyderm is a data-centric pipeline platform that automates data transformations with built-in data versioning and lineage tracking. It runs language-agnostic, parallelized multi-stage pipelines on Kubernetes, using standard object stores with deduplication for storage.

## Use cases
- version large datasets and track lineage across pipeline stages
- build automated data pipelines that trigger on data changes
- run parallelized ETL transformations on Kubernetes
- create reproducible CI/CD workflows for data science and ML
- process multi-stage pipelines across any data type on cloud or on-prem
- deduplicate and store pipeline data in object stores

## When to choose
- you need immutable data versioning and lineage for complex multi-stage pipelines
- your team runs data workloads on Kubernetes and wants autoscaling and parallelism
- you want language-agnostic pipeline steps and reproducible data transformations
- you need a CI/CD-style trigger system driven by data changes

## When to avoid
- you only need simple scheduled batch jobs without data versioning
- you cannot operate a Kubernetes cluster or object storage backend
- you want a lightweight single-machine ETL tool
- you need a fully open-source license without commercial terms

## Facets
- artifact type: application
- maturity: active
- function: etl, data-science, workflow-automation, container-orchestration, version-control, streaming
- domain: big-data, data-science, machine-learning, microservices
- platform: go, cloud, self-hosted, windows
- tags: data-versioning, data-lineage, data-pipelines, cicd-for-data, object-storage, parallel-processing, reproducibility, data-engineering, containers, kubernetes, docker, linux, macos

## Member repositories
- pachyderm/pachyderm (main) score 36

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:41.643228+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 2026-08-29T17:46:13.820168+00:00, confidence not recorded.
  - readme: https://github.com/pachyderm/pachyderm (fetched 2026-08-28T04:09:41.643228+00:00, sha c1fb19426f11)
- Data as of 2026-08-30T08:39:29.467469+00:00.