Skip to main content

Fritz Machine Learning Library.

Project description

Fritz CLI

Mobile machine learning projects can be messy. By the time an app is ready to ship, it’s not uncommon to have trained hundreds of models experimenting with different architectures, hyperparameters, and formats. Keeping all of these assets organized for rapid prototyping and evaluation is the key to delivering better mobile apps in less time. The Fritz CLI lets you manage all of your mobile machine learning models and and easily evaluate their in-app performance right from your terminal.

Create a Fritz Account

Sign up for an account and follow these directions in order to use the CLI.


You can install the CLI tool with

$ pip install fritz
$ fritz config update \
    --api-key <Your API Key will be here> \
    --project-id <Your Project ID will be here>


With the Fritz CLI, you can:

  • See all of the models you have trained and uploaded to Fritz.
  • View model configurations and metadata for any specific version of a model.
  • Upload and download model checkpoints to and from Fritz.
  • Deploy new model versions to a mobile app without releasing a new build.
  • Automatically set up a new Xcode or Android Studio project for mobile machine learning with Fritz.

We’ve made all of these capabilities available directly from the command line to streamline your workflow and reduce the need to switch between tools.

For more examples, visit our docs site.

Release Process

  1. Update version number in to x.y.z.
  2. Add an entry in for version x.y.z.
  3. Commit those changes to master.
  4. Run git tag -a x.y.z -m 'bump version x.y.z'.
  5. Run git push --tags. We have a GitHub Action that watches for new tags.

Project details

Download files

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

Source Distribution

fritz-2.3.5.tar.gz (35.1 kB view hashes)

Uploaded source

Built Distribution

fritz-2.3.5-py3-none-any.whl (50.4 kB view hashes)

Uploaded py3

Supported by

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