Add datascreeniq-python to Data Validation section#3013
Closed
AppDevIQ wants to merge 1 commit intovinta:masterfrom
Closed
Add datascreeniq-python to Data Validation section#3013AppDevIQ wants to merge 1 commit intovinta:masterfrom
AppDevIQ wants to merge 1 commit intovinta:masterfrom
Conversation
…ata Validation section
Collaborator
|
@AppDevIQ Thanks for your submission. However, this project does not meet our acceptance criteria: Repository age: The repository was created 3 days ago. We require a minimum of 3 months (or 6 months for Hidden Gem submissions) to ensure project stability. GitHub stars: 0 stars (minimum 100 required, or strong justification for Hidden Gem). Please see our CONTRIBUTING.md for full requirements. You're welcome to resubmit once the project has matured and gained community traction. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This PR adds datascreeniq-python, the official Python SDK for DataScreenIQ — a real-time data quality firewall for pipelines and APIs.
It provides millisecond PASS / WARN / BLOCK decisions for schema drift, null spikes, type mismatches, and data anomalies.
This fits the Data Validation section alongside other Python validation libraries.