PipelineWise

PipelineWise is a Python 3.12 framework for configuring, running, and operating Singer ELT pipelines. It supports log-based, incremental, and full-table replication, plus FastSync transfers for selected database routes.

Documentation · Issues · Docker images

Project scope

Available sources are MariaDB and PostgreSQL; available targets are PostgreSQL and Snowflake. Other packaged connectors, including the Snowflake source, are experimental. pipelinewise init also generates some legacy templates that are not packaged.

Release v0.64.1 is the last release from before the connector set was reduced. It is a historical reference, not a recommendation to deploy an older release.

See the connector support and route matrix before creating a pipeline.

Connectors

Available

Direction	Platform	Component
Source	MariaDB	tap-mysql
Source	PostgreSQL	tap-postgres
Target	PostgreSQL	target-postgres
Target	Snowflake	target-snowflake

MariaDB and MySQL share tap-mysql; MariaDB is available while MySQL remains experimental.

Experimental

Packaged experimental sources are GitHub, Jira, Kafka, Mixpanel, MongoDB, MySQL, S3 CSV, Salesforce, Slack, Snowflake, Twilio, and Zendesk. target-s3-csv is an experimental target. Packaging means the component is included by make all_connectors; it does not imply production support.

Install with Docker

Docker is the recommended runtime because it isolates connector and system dependencies:

git clone https://github.com/transferwise/pipelinewise.git
cd pipelinewise
docker pull transferwiseworkspace/pipelinewise:latest
docker tag transferwiseworkspace/pipelinewise:latest pipelinewise:latest
alias pipelinewise="$(pwd)/bin/pipelinewise-docker"
pipelinewise status

Pin a release tag instead of latest in production. To customise the image, build it locally:

docker build --platform linux/amd64 -t pipelinewise:latest .

The wrapper persists generated configuration, state, and logs below ~/.pipelinewise on the host. Continue with the installation and first-pipeline guide.

Install from source

Source installations own Python, system-library, and connector compatibility. Install the CLI and only the required connectors:

make pipelinewise
make connectors -e pw_connector=tap-postgres,target-snowflake
export PIPELINEWISE_HOME="$(pwd)"
source .virtualenvs/pipelinewise/bin/activate
pipelinewise status

Do not use a root pip install as a replacement for the Makefile workflow; it does not create isolated connector environments.

Develop and test

Use the dev-project Docker environment for development, tests, and verification wherever possible. It provides Linux, source databases, targets, and the runtime layout closest to production.

Read the repository and scoped AGENTS.md files for the authoritative lint, unit, connector, E2E, and documentation commands. Do not run bare pytest tests/; it collects credentialed end-to-end tests.

Contribute

See the contribution guide and CONTRIBUTING.md. New connectors begin as experimental until their ownership, compatibility, recovery, CI, and operated route are documented.

License

PipelineWise core is licensed under Apache License 2.0. Packaged connectors can use different licenses, including AGPL 3.0; the obligations of a distributed image depend on every included component. See the license inventory and LICENSE.