[mateuszklimek]

Sure, please compare: https://re-data.github.io/dbt-re-data/#!/overview?g_v=1 and https://docs.elementary-data.com/ graph png.

Elementary models like data_monitors_thread1, data_monitors_thread2, data_monitors_thread3, data_monitors_thread4, data_monitoring_metrics, latest_metrics, metrics_stats_for_anomalies, z_score, anomaly_detection, schema_schenages, etc. Existed before in re_data, are doing the same things and specifically for *_thread4 are not similar to anything you normally do in dbt.

And these similarities are also visible in code, for example here: the same usage of the undocumented dbt context feature.

# elementary

{% macro get_monitor_macro(monitor) %}

    {%- set macro_name = monitor + '_monitor' -%}
    {%- if context['elementary'].get(macro_name) -%}
        {%- set monitor_macro = context['elementary'][macro_name] -%}
    {%- else -%}
        {%- set monitor_macro = context['elementary']['no_monitor'] -%}
    {%- endif -%}

    {{- return(monitor_macro) -}}

{% endmacro %}

# re_data

{%- macro get_metric_macro(metric_name) %}

    {% set macro_name = 're_data_metric' + '_' + metric_name %}

    {% if context['re_data'].get(macro_name) %}
        {% set metric_macro = context['re_data'][macro_name] %}
    {%- else %}
        {% set metric_macro = context[project_name][macro_name] %}
    {% endif %}

    {{ return (metric_macro) }}

{% endmacro %}