csv_mapper
CSV Mapper and Transformer is a robust command-line tool written in Rust that allows you to map, transform, and filter CSV files using flexible, user-defined …
Reality Ingestion
Human Interfaces
Operational Adoption
Open projectAtlas view
Data Quality
This domain groups systems that solve Data Quality problems - shared vocabulary, common interfaces, and repeatable operational constraints. Use this page to see which systems already exist, what they ingest and emit, and which patterns we repeatedly rely on in this problem space.
Domains are how we avoid reinventing the same solution in slightly different shapes. When a domain repeats, it’s a signal to standardize schemas, mapping layers, auth patterns, and operator workflows.
Domain guide
How to read this domain
Definition
This domain groups systems focused on data quality workflows, shared data models, and repeatable operational constraints.
What belongs
- Systems where data quality is the primary problem space.
- Integrations that move, validate, or enforce data in this domain.
- Operational tools that reduce risk and manual work for this domain.
What doesn't
- Generic tools where data quality is incidental metadata.
- One-off experiments without domain-specific constraints.
Typical integrations and constraints
- Source-of-truth feeds, vendor APIs, and scheduled extracts.
- Schema drift, credential scope, and compliance requirements.
- Role-based access and operational review cycles.
Common interfaces
- REST/JSON APIs and vendor export endpoints.
- CSV, SQL views, or Sheets-based boundary objects.
- Auth boundaries (service accounts, OAuth, SSO).
No matching projects found. Try another keyword.