Flow is a habit tracker and personal data analytics app that lets you keep focus on what matters. Flow owns none of your data. That's yours.
If you just want look around or get started with Flow, you can create a free account at http://flowdash.co.
To spin up your own instance, or start contributing to this repo, see below.
The docs are still a work in progress. Check out the current docs at http://docs.flowdash.apiary.io/#
To deploy a new instance of Flow, use the following instructions.
Obtain Google App Engine SDK
Download the Cloud SDK from Google.
Setup a new Google Cloud project
Visit the Google developer's console: https://console.developers.google.com/ Create a new project and choose a unique project ID. You will not need a billing account if usage remains within Google's free tier, which should support low-mid volume use cases.
Set up a gcloud config
gcloud config configurations create [my-flow-config-name] gcloud config set project [project-id] gcloud config set account [my email]
To activate this configuration:
gcloud config configurations activate [my-flow-config-name].
Fork the repo
Branch or fork this repository into a project directory.
Ensure you have npm and gulp installed.
npm install -g gulp npm install
Update code configuration
Update the APP_OWNER variable in constants.py. Owner should match the Google account you logged into the console with. This will enable the application to send emails.
Create the following files by copying the templates (keep the original template files, which are used when running tests). For this step you'll need to create an oauth 2.0 web client ID from the GCP console, as per the instructions in
./settings/secrets_template.py => ./settings/secrets.py
./src/js/constants/client_secrets.templates.js => ./src/js/constants/clients_secrets.js
Run the dev server locally
To avoid conflicts sometimes seen with gcloud and google.cloud python libs it is often helpful to run the dev server in a virtualenv. Make sure dev_appserver.py is in your path.
pip install -t lib -r requirements.txt
pip install -r local.requirements.txt
gcloud components update
./server.sh(in scripts/) to start the dev server locally.
gulpin another terminal to build JS etc
- Visit localhost:8080 to run the app, and localhost:8000 to view the local dev server console.
./deploy.sh 0-1to deploy a new version 0-1 and set is as default
If you get a permission denied error on a logs directory during deploy, you may need to run the above command wish sudo.
https://[project-id].appspot.com to see the app live.
- Daily journal / survey
- Configurable questions
- Optional location pickup & mapping
- Extract @mentions and #tags from configured open-ended responses (auto-suggest)
- Segment analysis of journals by tag (highlight journal days with/without + show averages)
- Habit tracking ala habits app
- With weekly targets
- Optional daily targets for 'countable' habits
- Tracking top tasks for each day
- Analyze tasks completed: on time, late, not completed, on each given day
- Monthly/year/long-term goals
- Goal assessment report at end of month
- Rating for each goal monthly defined
- Ongoing Projects tracking
- Track time of each progress increment
- Link tasks with projects
- Define labeled milestones
- View 'burn-up' chart of completion progress over time
- Show summary charts of all data reported to platform
- Google Assitant / Home / Facebook Messenger integration for actions like:
- "How am I doing"
- "What are my goals for this month"
- "Mark 'run' as complete"
- "Daily report"
- Reading widget
- Show currently-reading articles / books
- Sync quotes from evernote / Kindle
- Sync articles from Pocket
- Mark articles / books as favorites, and add notes
- Quotes & articles fully searchable
- Flash card widget for spreadsheet access (e.g. random quotes, excerpts)
- Export all data to CSV
Data source integrations
- Public Github commits
- Google Fit - track any activity durations by keyword
- Evernote - pull excerpts from specified notebooks
- Pocket - Sync stored articles & add notes
- Goodreads - Sync currently reading shelf
- Track any abstract data via REST API
Setup (for separate instance)
All integrations work out of the box on flowdash.co, but if you're spinning up your own instance, you'll need to set up each integration you need. See below for specific instructions.
Create an app at https://getpocket.com/developer/ and update settings.secrets.POCKET_CONSUMER_KEY
- Request an API Key at https://dev.evernote.com
- Request a webhook at https://dev.evernote.com/support/ pointing to [Your Domain]/api/integrations/evernote/webhook
We've used API.AI to create an agent that integrates with Google Actions / Assistant / Home. To connect Assistant with a new instance of Flow:
- Visit https://api.ai
- Update the agent.json configuration file in static/flow-agent
- Fill in config params in [Brackets] with your configuration / webhook URLs, etc
- Import the agent.json to API.AI
- Go to integrations and add and authorize 'Actions on Google'
- Preview the integration using the web preview
The messenger bot lives at https://www.facebook.com/FlowDashboard/
To create a new messenger bot for your own instance of Flow, see the Facebook quickstart: https://developers.facebook.com/docs/messenger-platform/guides/quick-start
(Beta / admin only currently) Push daily panel data to BigQuery for additional analysis, e.g. run regressions with TensorFlow, etc.
Admin Operations Cheatsheet
User data deletion
- In console run GQL query
SELECT * WHERE __key__ HAS ANCESTOR KEY(User, [user_id])
- Delete all entities
Contributions are welcome! See CONTRIBUTING.md