docs/docker-hub/publish/insights-analytics.md

title	description	keywords
Insights & analytics	Provides usage statistics of your images on Docker Hub.	docker hub, hub, insights, analytics, api, verified publisher

Insights and analytics provides usage analytics for your organization's images on Docker Hub. With this tool, you have self-serve access to metrics as both raw data and summary data for a desired time span. You can view how many times your images have been pulled by tag or by digest, and get breakdowns by geolocation, cloud provider, and client (user agent).

Exporting analytics data

You can access the data either from the Docker Hub website, at hub.docker.com/orgs/{namespace}/insights, or using the DVP Data API{: target="blank" rel="noopener" class=""}. All members of an organization have access to the analytics data.

The data is available as a downloadable CSV file, in a weekly (Monday through Sunday) or monthly format (available on the first day of the following calendar month). You can import this data into your own systems, or you can analyze it manually as a spreadsheet.

Export data using the website

Here's how to export usage data for your organization's images using the Docker Hub website.

1. Log in to Docker Hub{: target="blank" rel="noopener" class=""} and select Organizations.

2. Choose your organization and click Insights and analytics.

   

3. Set the time span for which you want to export analytics data. The downloadable CSV files for summary and raw data appear on the right-hand side.

   

Export data using the API

The HTTP API endpoints are available at: https://hub.docker.com/api/publisher/analytics/v1. Learn how to export data using the API in the DVP Data API documentation{: target="blank" rel="noopener" class=""}.

Data formats

The data can be exported in either raw or summary format. Each format contains different data points and are formatted differently.

Review the Data definitions section for more information about the data points and how to read them.

Raw data

The raw data format contains the following data points for the selected time span. Each action is represented as a single row in the CSV file.

• Timestamp
• Namespace
• Repository
• Reference
• Digest
• Tag (included when available)
• Action day
• HTTP method
• Action, one of the following:
  • Pull by tag
  • Pull by digest
  • Version check
• Type
• Host
• Country
• User agent tool
• User agent version

Summary data

The summary data format contains the following data points for each namespace, repository, and reference (tag or digest), for the selected time span.

• Unique IP addresses
• Pulls by tag
• Pulls by digest
• Version checks

Data definitions

Data point	Definition
Action	An action represents the multiple request events associated with a docker pull. We have applied rules to these events so that the data is more meaningful in analyzing user behavior and intent. An action can be filtered into three distinct categories: version check, pull by tag, and pull by digest. Each action is represented as a single row in the raw data. For more information, see Action classification rules.
Version check	This is a filter on the action data point. It is a speculation of user intent. Includes: HEAD by tag not followed by a GET (from the same IP address within a 5-second window). Excludes: HEAD by digest
Pull by tag	This is a filter on the action data point. It is a speculation of user intent. Includes: GET (by digest or by tag). If the GET is immediately preceded by a HEAD by tag (from the same IP address within a 5-second window), then the GET and HEAD together are counted as a single Pull by Tag. If the GET by tag is immediately followed by another GET (from the same IP address within a 5-second window, but a different digest), then the two GETs are counted as a single Pull by Tag.
Pull by digest	This is a filter on the action data point. It is a speculation of user intent. Includes: GET by digest. If the GET is immediately preceded by a HEAD by digest (from the same IP address within a 5-second window), then the GET and HEAD together are counted as a single pull by digest. If the GET is immediately followed by another GET (from the same IP address within a 5-second window, but a different digest), then the two GETs together are counted as a single pull by digest. Includes: HEAD by digest, not followed by a GET.
Type	The industry from which the event originates. Industry types include business, isp (internet service provider), hosting, education, and null in cases where the industry could not be identified.
Host	The cloud service provider used in an event.
Reference	The digest or tag that was referenced in the action.
Digest	The image version digest.
Tag	The tag name. Only available if the pull referred to a tag, not available if the pull referred to a digest.
Country	The country from which the request originated.
Timestamp	Date and time of an event in the following schema: YYYY-MM-DD 00:00:00
Action day	The date portion of the timestamp: YYYY-MM-DD
Namespace	The Docker organization that a repository is a part of.
Repository	The repository that an image belongs to.
Reference	The tag or digest of any given image.
HTTP method	The HTTP method used in a request by the client. More information on Docker Registry HTTP API protocols can be found here{: target="blank" rel="noopener" class=""}.
User agent tool	The application a user used to pull an image (for example, docker or containerd). Extracted from the UA string.
User agent version	The version of the application used to pull an image.
Unique IP address	As part of our privacy-preserving policy, Docker only shares the count of distinct unique IP addresses that request an image.

Action classification rules

Automated systems frequently check for new versions of your images. The insights and analytics metrics show the number of pulls that were triggered by users, and pulls by automated systems such as CI/CD tools, respectively. Automated "version checks" and real image downloads are differentiated by inspecting the order and timing of image pulls coming from the same IP address. Being able to distinguish between different types of image pulls grants you more insight into your users' behavior. You can inspect the rules for determining intent behind pulls in the Action classification rules section on this page.

To provide feedback or ask questions about these rules, fill out the Google Form{: target="blank" rel="noopener" class=""}.

Starting event	Reference	Followed by	Resulting action	Use case(s)	Notes
HEAD	tag	N/A	Version check	User already has all layers existing on local machine	This is similar to the use case of a pull by tag when the user already has all the image layers existing locally, however, we are able to differentiate the user intent and classify accordingly.
GET	tag	N/A	Pull by tag	User already has all layers existing on local machine and/or the image is single-arch
GET	tag	Get by different digest	Pull by tag	Image is multi-arch	Second GET by digests must be different from the first
HEAD	tag	GET by same digest	Pull by tag	Image is multi-arch but some or all image layers already exist on the local machine.	The HEAD by tag will send the most current digest, the following GET must be by that same digest. There may occur an additional GET, if the image is multi-arch (see the next row in this table). If the user doesn't want the most recent digest, then the user would perform HEAD by digest.
HEAD	tag	GET by the same digest, then a second GET by a different digest	Pull by tag	Image is multi-arch	The HEAD by tag will send the most recent digest, the following GET must be by that same digest. Since the image is multi-arch, there is a second GET by a different digest. If the user doesn't want the most recent digest, then the user would perform HEAD by digest.
HEAD	tag	GET by same digest, then a second GET by different digest	Pull by tag	Image is multi-arch	The HEAD by tag will send the most current digest, the following GET must be by that same digest. Since the image is multi-arch, there is a second GET by a different digest. If the user doesn't want the most recent digest, then the user would perform HEAD by digest.
GET	digest	N/A	Pull by digest	User already has all layers existing on local machine and/or the image is single-arch
HEAD	digest	N/A	Pull by digest	User already has all layers existing on their local machine.
GET	digest	GET by different digest	Pull by digest	Image is multi-arch	The second GET by digest must be different from the first
HEAD	digest	GET by same digest	Pull by digest	Image is single arch and/or image is multi-arch but some part of the image already exists on the local machine
HEAD	digest	GET by same digest, then a second GET by different digest	Pull by Digest	Image is multi-arch