mince 0.2.2

mince is a toolkit for slicing up data into bite-sized dashboards

mince 🔪🧄🧅

toolkit for slicing up data into bite-sized dashboards

Steps for using mince:

1. ingest raw data into standardized format
2. define dashboard specification
3. serve dashboard
4. continually update the data

Building a dashboard

In mince dashboards have 2 components:

1. Data: a dict of polars dataframes
2. UI Specification: metadata describing the dashboard's UI

Dashboard maintenance

There are many tasks associated with building and maintaining a data dashboard including:

• data collection
• data management
• deployment
• monitoring

mince aims to automate as many of these tasks as possible

Command Line Interface

The mince cli aims to automate as many of these tasks as possible

• run dashboard mince run ... --pdb
• run dashboard with interactive debugger mince run ... --pdb
• list info about all running dashboards
  • mince ls
• disk caching of loaded datasets for quick dashboard restarts
• standardized hooks for data collection mince collect <DASHBOARD>
• cli generator to create a management cli for each dashboard <DASHBOARD> <SUBCOMMAND> ...
• easily load a dashboard's data into an interactive python session mince data <DASHBOARD> -i