Free Name Explorer · data 1.0.0-rc.1
selo-soft.
Given name reference dataset

International
Given Names

Name spellings, contexts and relationships in one package. With evidence, documentation and a transparent account of coverage.

SQLiteJSONLDocumentation in RU / ENPreview version 1.0.0-rc.1
150 376spellings
125 404observations
508 057evidence records

What you can build

A spelling reference for an application, exact name search, or a tool for exploring variants and components. Statistics help you study usage within a specific territory and period.

  • Search for an exact spelling, preserving diacritics.
  • Use relationships while preserving their type and direction.
  • Check the source of an individual claim.
  • Import the data into your own system.

Statistical coverage

The dataset contains separate series. They do not form a single global statistical series.

TerritoryPeriodCoverage
United States2025SSA
England and Wales2025ONS
Berlin2023City only, not all of Germany
Cologne2010–2022Historical and name-position series

No Russian national frequency series is included. Russian, German and English are project priorities, not properties of every record.

Free · no registration

Inspect 16 sample records

An illustrative sample from the same corpus. It is neither random nor representative: it demonstrates different scripts, contexts and relationships.

Liam · Mila · Niko · Jona · Vivien · Anna-Maria · Jean-Luc · Ilyas · İlyas · Juri · Aliya · Mikail · Роксана · Хава · まんさく · Marilina

Sample 0.1.0-preview-127 · 394 evidence records · licences and attribution included in the archive.

Your first query

python read_sample.py verify
python read_sample.py name Juri --language de --scope dictionary

After extracting the sample. Python 3.10+, no external libraries required.

What you should know

150,376 is the number of spellings, not the number of distinct name concepts.
Coverage varies between records

Complete etymology, universal transliteration and worldwide completeness are not promised. Compound status is unknown for 148,938 records.

A name does not define a person

The data is not intended to reliably determine an individual person's gender or language. Different source claims are kept separate.

Relationships do not imply interchangeability

Check each relationship's type, direction and qualifications before using it for matching.

Licensing and provenance

The compiler's own protectable contribution and database are covered by CC BY-SA 4.0 where applicable. Original source terms remain in effect. Reader code: MIT; original explanatory text: CC BY 4.0.

Paying for the prepared package does not make the data exclusive or prohibit redistribution under the applicable licences.

Dataset licence text · Full source notices · Attribution for all dictionary claims (JSONL)

Source licences and attribution

Changes: selected and normalised claims, structured exports and links to source rows. No endorsement by the original publishers is implied.