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Provide an overview of your assigned issues on GitHub, GitLab, Gitea and Microsoft Planner

Project description

ToDo Merger

Get a unified overview of all issues and tasks assigned to you across multiple platforms. A local web dashboard that aggregates GitHub, GitLab, Gitea, and Microsoft Planner into a single view, with personal prioritisation and a private task list. Additionally, a CLI for quick access to your tasks and labels.

Python 3.10+ License: GPL-3.0-only PyPI

Features

  • Multi-platform aggregation — pulls assigned issues, merge/pull requests, and tasks from GitHub, one or more GitLab instances, Gitea instances, and local Microsoft Planner exports, all into a single view
  • Graceful degradation — if an instance is unreachable (e.g. a company GitLab behind a VPN), the app keeps running and shows cached data for that instance with a warning banner; other services are unaffected. Connectivity is retried automatically on the next cache refresh
  • Personal prioritisation — pin, promote, or deprioritise any issue without touching the upstream tracker; rankings are stored locally
  • Todo list — mark individual issues as personal todos and filter the view to show only those
  • New issue highlighting — issues you haven't seen before are highlighted until you dismiss them
  • Private task creation — create new issues directly in a configured private repository (GitHub, GitLab, or Gitea) from within the dashboard
  • Configurable display — toggle which metadata columns are shown (labels, milestones, epics, assignees, due dates, refs, …)
  • Daemon mode — run as a background process with todo-merger web -d / todo-merger web stop
  • CLI — quickly list all open tasks as JSON, a compact table, or verbose human-readable output; create new issues and list available labels from the private tasks repo
  • Fast cache — configurable cache timeout (default 10 minutes) avoids hammering the APIs on every page load; manual refresh available at any time

Installation

pipx (recommended)

pipx installs the app in an isolated environment and keeps it off your system Python.

pip3 install pipx          # install pipx if not already present
pipx install todo-merger   # install todo-merger

todo-merger will be available in ~/.local/bin (add to $PATH if needed).

To run without installing permanently:

pipx run todo-merger

To upgrade:

pipx upgrade todo-merger

Other methods

pip install todo-merger   # plain pip
uv tool install todo-merger  # uv

Usage

Please see todo-merger --help for the latest usage instructions.

todo-merger [global options] <command> [command options]

Global options:

Flag Description
-c, --config-file Path to the config file (default: ~/.config/todo-merger/config.toml)
-v INFO logging
-vv DEBUG logging
-vvv DEBUG logging including verbose HTTP client logs
--version Show version and exit

Commands:

Command Description
web Start the web interface (open http://localhost:8636)
web -d Start in daemon (background) mode
web stop Stop a running background instance
web --port PORT Use a custom port
list List all open tasks as JSON
list --table Compact table view (rank, title, clickable link)
list --plain Verbose human-readable output
list --cache Use cached data without fetching from APIs
labels List available labels from the private tasks repo
create TITLE Create a new issue in the private tasks repo
create TITLE --rank pin Create and immediately rank the issue
create TITLE --label bug Create with a label (repeatable)

Configuration

On first start, todo-merger creates an empty config file at ~/.config/todo-merger/config.toml. Edit it to add your service credentials.

See DEFAULT_APP_CONFIG in _config.py for all available options and their defaults.

Multiple instances of the same platform are supported — just add more [services.*] sections with unique names.

Unavailable instances

If a service is currently unavailable (e.g. because company VPN is disconnected), todo-merger handles it gracefully:

  • App starts without connection — the unreachable instance is skipped and recorded as degraded; a warning banner is shown in the dashboard. Cached data from the last successful fetch is displayed.
  • Connection reestablished later — the next cache refresh (or manual reload) automatically retries the login and fetch for the degraded instance. If it succeeds, the warning disappears.
  • Connection drops mid-session — the failing instance falls back to its last cached data; all other services continue normally.

No configuration is needed for this behaviour — it is automatic.

License

The main license of this project is the GNU General Public License 3.0, no later version (GPL-3.0-only), Copyright Max Mehl.

Third-party components included under their respective licenses: Pico CSS (MIT), snippets from DB Systel (Apache-2.0).

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