Lotti is a smart journaling app that allows you to track relevant data about your life, in complete privacy. What you deem relevant is up to you. For example:

• Health-related data which can be imported automatically, such as steps, weight, sleep, etc.
• Custom data types, such as the intake of water, food, alcohol, coffee, but also exercises such as pull-ups, you name (and define) it.
• Time, as in defining tasks and then recording time spent on these tasks in the process in order to improve the use of this limited resource.
• Stories
• Tags
• People

Through the collection and monitoring of such data, Lotti enables you to not only track the evolution of the data but also to implement many different kinds of interventions based on the user’s analysis, interpretations and conclusions, such as - but not limited to -health, weight, fitness, etc. Ultimately, these aim at living a better life. Please share your success stories and ideas on what can be improved.

Example from blog:

• Habit tracking. The previous Clojure-based version implemented simple habit tracking where habits could be checked off and monitored, such as daily flossing or whatever else you can imagine.
• Intervention lifecycle. The app is already useful for monitoring interventions but the interventions themselves currently remain implicit, insofar as I can imagine and invent such interventions in my mind and then build a dashboard for tracking success and failure. In future versions, the lifecycle of interventions shall be made explicit, by defining them in the first place, and then reviewing and refining them.
• Reporting how time is spent.
• Upfront planning of time budgets.

Please check out HISTORY.md for all the information on the project's history and back-story. You can find the previous version in the meins subdirectory.

• Lotti is private and does not share any information with anyone - see the Privacy Policy.
• Lotti is open-source and everyone is encouraged to contribute, be it via contributing to code, providing feedback, testing, identifying bugs, etc.
• Lotti strives to be as inclusive as possible and any request for improved accessibility will be addressed.
• Lotti is supposed to become a friendly and welcoming community of people who are interested in data, improving their lives, and not or only very selectively sharing their data in the process. Please head over to Discussions and say Hi.
• Localization. Lotti aims to be multilingual and to be available in as many different languages as possible. Currently, that is English and German, with French in progress. Please create issues for languages you would like to see.

Lotti is currently available for beta testing. The aim is to have pre-release versions available on GitHub Releases, specifically for Android, macOS, Linux and Windows. Currently, there are build issues blocking the pre-release on some of the aforementioned platforms and help would be much appreciated.

Development is primarily done on macOS and both the iOS and macOS versions are available for beta testing via Apple's TestFlight. Please get in touch with the author if you are interested in participating in the tests, the email address can be found in the profile. The aim is to get Lotti out on all app stores ASAP. More feedback will mean sooner general availability.

• Introducing Lotti or how I learned to love Flutter and Buildkite
• How I switched to Flutter and lost 10 kilos

1. Install Flutter manually, see instructions.
2. Download and install Android Studio
3. Clone repository and go to ./lotti
4. Run flutter pub get
5. Run flutter create
6. Open ./lotti in Android Studio

These purpose of these instructions is mainly to reproduce the dev environment quickly, for the distribution or operating system versions named below. Please feel free to amend missing steps or add a section for your favorite distribution and raise PRs for those.

Please make sure your Flutter environment generally works with a fresh starter app however before raising issues that are related to your Flutter installation. Thanks!

Tested on macOS 12.3: no additional steps necessary. You only need to have Xcode installed.

Tested on Ubuntu 20.04.3 LTS inside a virtual machine on VMWare Fusion:

1. In addition to the common steps above, install missing dependencies:

$ sudo apt-get install libsecret-1-dev libjsoncpp-dev libjsoncpp1 libsecret-1-0 sqlite3 libsqlite3-dev
$ flutter packages get
$ make build_runner

In case the network in virtual machine not connecting after resuming: $ sudo dhclient ens33

Please create a PR with instructions for Windows if you find anything that is required.

This project uses Buildkite for releasing to TestFlight on iOS and macOS, plus publishing to GitHub releases. The following steps are necessary for setting up a new runner:

1. Install [Buildkite agent for macOS](https://buildkite. com/docs/agent/v3/macos)
2. Install create-dmg for bundling the DMG file for GitHub releases

HELP WANTED: Linux and Windows versions are not yet published on HitHub releases. Please consider helping out with the pipelines if you can.

Contributions to this project are very welcome. How can you help?

1. Please check under issues if there is anything specific that needs helping hands, or features to be discussed or implemented.
2. Now that the project is coming out of the initial prototyping stage, the test coverage needs to become much better. Any additional tests are welcome, including code changes to make the code easier to test.
3. For new feature ideas, please create an issue first and pitch the idea and we'll discuss.