Skip to main content

No project description provided

Project description

Build Status Doc Status


Image of a Social Card

MementoEmbed is a tool to create archive-aware embeddable surrogates for archived web pages (mementos), like the social card above. MementoEmbed is different from other surrogate-generation systems in that it provides access to archive-specific information, such as the original domain of the URI-M, its memento-datetime, and to which collection a memento belongs.

MementoEmbed can also create browser thumbnails like the one below.

Image of a Browser Thumbnail

In addition, MementoEmbed can create imagereels, animated GIFs of the best five images from the memento, as seen below.

Image of an Imagereel

For more information on this application, please visit our Documentation Page and read the original blog post describing the reasons behind MementoEmbed.

Installation and Execution

Installing and Running the Latest Build Using Docker

Because of its complex cross-language and environment dependencies, MementoEmbed is installed via Docker. To run the latest build use the following commands.

$ docker pull oduwsdl/mementoembed
$ docker run -d -p 5550:5550 oduwsdl/mementoembed

MementoEmbed can now be accessed from http://localhost:5550/.

Installing and Running From Source Using Docker

Download the code and build an image as following:

$ git clone
$ cd MementoEmbed
$ docker build -t mementoembed .

Then run a container from this image:

$ docker run -it --rm -p 5550:5550 mementoembed

Flags -it and --rm will make the container connect to the host TTY in interactive mode and remove the container once the process is killed or terminated. To run the container in detached mode, run the following command instead:

$ docker run -d -p 5550:5550 mementoembed

In either case, the application should be accessible at http://localhost:5550/.

Installing and Running Locally

Download the code and install it within your Python environment.

$ git clone
$ cd MementoEmbed
$ pip install .

Then set it up to run locally using Flask.

$ export FLASK_APP=mementoembed
$ flask run

Loading a Desired Configuration

The configuration options for MementoEmbed are documented in sample_appconfig.cfg.

The defaults are stored in config/

To use your own configuration file, copy sample_appconfig.cfg, make modifications, and place it in /etc/mementoembed.cfg. Then run the application locally as described above.

To use your own configuration file stored at /path/to/my/config.cfg with a Docker image, use the -v Docker option: docker run -it --rm -v /path/to/my/config.cfg:/etc/mementoembed.cfg -p 5550:5550 oduwsdl/mementoembed

Directory Layout

The following directory structure exists for organizing MementoEmbed:

  • /config/ - default Flask configuration for MementoEmbed
  • /docs/ - source for documentation of MementoEmbed, products can be viewed at the project Documentation Page.
  • /githooks/ - hooks for use with Git in development (was an experiment, not currently used)
  • /mementoembed/ - main MementoEmbed application
  • /mementoembed/services/ - code containing source code for the machine-accessible MementoEmbed endpoints
  • /mementoembed/static/ - JavaScript and CSS used for the MementoEmbed application
  • /mementoembed/templates/ - Jinja2 templates for the MementoEmbed application
  • /mementoembed/ui/ - code for the user interface MementoEmbed endpoints
  • /tests/unit - automated unit tests for core MementoEmbed functionality
  • /tests/integration - automated integration tests to run against a running MementoEmbed container
  • .dockerignore - used to indicate which files Docker should ignore when building an image
  • .gitignore - used to indicate which files Git should not commit during development
  • .travis.yml - configuration for executing unit tests and testing build of MementoEmbed
  • - instructions for contributing to this project
  • Dockerfile - used to build the docker image
  • LICENSE - the license for this project
  • - used to ensure additional files are installed on the system when pip is run
  • - this file
  • - the script run by Docker to start MementoEmbed once a container is started
  • package-lock.json - pakcage version information used by npm for thumbnail generation
  • - a script run to raise the version of MementoEmbed in both documentation and source code
  • requirements.txt - listing of requirements used in the Docker container's Python environment
  • - script planned for use when releasing MementoEmbed (not currently used, may be removed at some point)
  • sample_appconfig.cfg - MementoEmbed configuration used by the Docker container
  • - standard Python installation configuration file

Run unit tests

The unit tests are designed to be easily run from the file.

$ pip install .
$ python ./ test

Run integration tests

With a fully operational MementoEmbed, integration tests are possible.

python -m unittest discover -s tests/integration

Integration tests, by default, assume that the instance to be tested is running at port 5550. This can be altered with the TESTPORT environment variable, like so: export TESTPORT=9000.

Integration tests are heavily dependent on environmental factors such as the current state of web archive playback systems. The favicon detection appears to be especially unpredictable. Because of this, we recommend that integration tests be reviewed by humans and not executed automatically on build.


Please consult the Contribution Guidelines in for submitting bug reports, pull requests, etc.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for mementoembed, version 0.2020.4.30.202739
Filename, size File type Python version Upload date Hashes
Filename, size mementoembed-0.2020.4.30.202739.tar.gz (1.1 MB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page