OpenEMPI vs Splink
OpenEMPI
openempi.orgSplink
moj-analytical-services.github.ioSide by side
| Figure | OpenEMPI | Splink |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · Identity Resolution Software | 7.3 (#17) | 8.4 (#2) |
| Support | The company offers commercial support and SLAs; licensed customers can access private support resources and custom modules. | Users are directed to a public GitHub discussion forum for questions after consulting the documentation. |
| What it does | OpenEMPI is entity-resolution and record-deduplication software that links duplicate records into trusted master records. | Splink is a Python package for probabilistic record linkage and entity resolution that deduplicates or links records without unique identifiers. |
Plans
In their own words
Splink
Splink is a free Python package for probabilistic record linkage, used to deduplicate records and connect them when unique identifiers are absent. Its linkage method follows the Fellegi-Sunter model and can be trained without labeled examples. Matching can include term-frequency adjustments and user-defined fuzzy logic. Splink creates SQL for a selected backend, with documented support for DuckDB, Spark, SQLite, and PostgreSQL. DuckDB is recommended for most users; Spark is recommended for very large linkages or when a Spark cluster is more accessible. The maker says it can run on DuckDB or big-data backends such as Spark for linkages of 100+ million records. It works best with standardized data across several columns that are not highly correlated, rather than a single bag-of-words column. Interactive visualizations help examine and diagnose models, predictions, and clusters. Install with pip or conda, with optional backend-specific installation for Spark and PostgreSQL. It runs on Linux, macOS, and Windows, as well as self-hosted environments.