list_attributes()

Lists attributes in the experiments of a Neptune project.

To narrow the results, define filters for experiments to search or attributes to include.

List experiment attributes

Returns a list of unique attribute names in a project's experiments.

Parameters

project

str

optional

default: None

Path of the Neptune project, as WorkspaceName/ProjectName.

If not provided, the NEPTUNE_PROJECT environment variable is used.

experiments

str | list[str] | Filter

optional

default: None

Filter specifying which experiments to search.

• If a string is provided, it's treated as a regex pattern that the experiment names must match.
• If a list of strings is provided, it's treated as exact experiment names to match.
• To provide a more complex condition on an arbitrary attribute value, pass a Filter object.

attributes

str | list[str] | AttributeFilter

optional

default: None

Filter specifying which attributes to include.

• If a string is provided, it's treated as a regex pattern that the attribute names must match.
• If a list of strings is provided, it's treated as exact attribute names to match.
• To provide a more complex condition, pass an AttributeFilter object.

Example

List all attributes that begin with "metrics":

import neptune_query as nq


nq.list_attributes(attributes=r"^metrics")

Search a specific project for experiments with a learning rate less than 0.01 and return the logged attributes:

from neptune_query.filters import Filter


nq.list_attributes(
    project="team-alpha/sandbox",
    experiments=Filter.lt("config/lr", 0.01),
)

List run attributes

To target individual runs by ID instead of experiment name, import the runs API:

import neptune_query.runs as nq_runs

Then call the corresponding querying method and replace the experiments parameter with runs:

nq_runs.list_attributes(
    project="team-alpha/sandbox",
    runs=["prompt-wolf-20250605132116671-2g2r1"],  # run ID
)