### Description

Feature request to filter by running dags (or by other statuses too). We have over 100 dags and we were having some performance problems. we wanted to see all the running Dags from the main page and found that we couldn't. We can see the light green circle in the runs (and that involves a lot of scrolling) but no way to filter for it. 

We use SQL Server and it's job scheduling tool (SQL Agent) has this feature. The implementation for airflow shouldn't necessarily be like this but just presenting this as an example that it's a helpful feature implemented in other tools. 
<img width="231" alt="image" src="https://user-images.githubusercontent.com/286903/227529646-97ac2e8e-52de-421a-8328-072f35ccdff2.png">

I'll leave implementation details for someone else. 

on v2.2.5

### Use case/motivation

_No response_

### Related issues

_No response_

### Are you willing to submit a PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""
        A restful endpoint that returns external links for a given Operator.
        It queries the operator that sent the request for the links it wishes
        to provide for a given external link name.
        API: GET
        Args: dag_id: The id of the dag containing the task in question
              task_id: The id of the task in question
              execution_date: The date of execution of the task
              link_name: The name of the link reference to find the actual URL for
        Returns:
            200: {url: <url of link>, error: None} - returned when there was no problem
                finding the URL
            404: {url: None, error: <error message>} - returned when the operator does
                not return a URL
        """
        dag_id = request.args.get("dag_id")
        task_id = request.args.get("task_id")
        map_index = request.args.get("map_index", -1, type=int)
        execution_date = request.args.get("execution_date")
        dttm = _safe_parse_datetime(execution_date)
        dag = get_airflow_app().dag_bag.get_dag(dag_id)
        if not dag or task_id not in dag.task_ids:
            return {"url": None, "error": f"can't find dag {dag} or task_id {task_id}"}, 404
        task: AbstractOperator = dag.get_task(task_id)
        link_name = request.args.get("link_name")