PiperRider CLI
Project description
PipeRider
For data practitioner who wants to trust their data by:
- Defining the shape of data, so they can make sure the data will be expected in the future
- Save time on debugging data,easily discover & discuss any data problems from upstream
- Socially collaborate across teams on the dataset through data catalog and data insights
Install
$ pip install piperider-cli
Install with connectors
By default, we support the built-in sqlite connector, there are extra connectors:
- snowflake
- postgres
Install with postgres connector:
pip install piperider-cli[postgres]
It could be more than one connector with comma:
pip install piperider-cli[postgres,snowflake]
Command
Attach piperider to a dbt project
$ piperider-cli init
This command creates /.piperider
under a dbt project root and generate necessary configurations.
Scan models
$ piperider-cli run
This command scans the models from datasource and create assessment results in /.piperider/output
Generate reports
$ piperider-cli generate-report <piperider result file>
generate a static html report under current path.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file piperider-cli-0.1.3.12.tar.gz
.
File metadata
- Download URL: piperider-cli-0.1.3.12.tar.gz
- Upload date:
- Size: 1.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7a0536c3de9f69a66df15725112fd76f177a63e74f87116fe5bfb65c18e96577 |
|
MD5 | 70019a409608901bf644be53aa0ed31d |
|
BLAKE2b-256 | 503dc7ba9d41cfac705ac026de9e9143f599302d6a6cc84e6f771833b386a6d9 |
File details
Details for the file piperider_cli-0.1.3.12-py3-none-any.whl
.
File metadata
- Download URL: piperider_cli-0.1.3.12-py3-none-any.whl
- Upload date:
- Size: 1.8 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a83a1ba0333f1155988c9d4e8d23f2168e2529660a9b61b1b548989cb662b2a5 |
|
MD5 | a2634ab960bd0051e749f6cf5e1ee9b6 |
|
BLAKE2b-256 | 349bf64a34b99f9dd286b5bdf9851d5f27c47fc63bfd1f7c4b711a99cdf37284 |