Skip to main content

StarPulse

See the flow of work: your scheduler's workflows, the lifecycle your tasks move through, and the agents and people moving them, live on one page.

Live demo: a demo board with synthetic tasks, running in your browser with no server.

What it draws

  • Tasks on their lifecycle. Each board status is a state on a machine, and a task travels the transitions as it moves. The default board is StarPulse's own: Markdown task files under .starpulse/board/, created empty the first time you serve. A Backlog.md project is one [board] setting away; a Kanban view shows the same tasks as columns, and moves made there are written back to the board when its adapter has a writer.
  • Workflow runs. Each workflow is drawn as its step graph with its latest run. Dagu and GitHub Actions are read directly; any other scheduler reports its runs with starpulse emit.
  • Agents at work. A Claude Code session's OpenTelemetry log export moves the session through its own machine, so you see which agent is prompting, running a tool or waiting.
  • Pull requests and Copilot. A repository's pull requests move through opened, checks passing or failing, and merged or closed, and GitHub Copilot's coding agent and code reviews move a pull request through their own machine.
  • History. Every move is kept, so hovering a task traces the path it took.

Quickstart

You need uv.

cd your-project
uvx starpulse serve

Open http://localhost:8766. The first serve creates .starpulse/board/ in the working directory (beside the config file when --config names one): a config.yml holding the project name (that directory's name, the team its tasks are in), the lanes (To Do, In Progress, Done) and an empty tasks/ directory, one Markdown file per task. The Kanban view starts with no tasks: New task, at the top right beside the task count, opens a form for its title, description, priority, labels, milestone, assignee, dependencies and acceptance criteria and adds it to the first column, and Connect a tracker opens the [board] setting for each public adapter. If the directory has a Backlog.md project (backlog/config.yml), serve prints one line naming it and the [board] type = "upstream_backlog" setting that shows it instead (see Configure); the page's snapshot carries the same line as hint, and Connect a tracker shows it. StarPulse keeps its event log and history in starpulse-history.sqlite beside its config file, or in the working directory without one. The page has no sign-in and listens on this machine only (127.0.0.1): --host 0.0.0.0 widens it to every interface so another computer on your network can open it, which you do only on a network you trust. A write (move, edit, start, run, history window) is refused unless it is a JSON request (Content-Type: application/json) that either names no Origin, as a script or curl does, or names this server's own, so a web page on another site cannot write through your browser.

starpulse serve --port 8800 --hours 24 changes the port and how far back a task's latest move counts toward where it is drawn (6 hours by default). The Admin page's Server card overrides that window for everyone viewing, and starpulse-settings.json beside the config keeps the override across restarts.

Show your Claude Code sessions

Run the receiver beside the server, then start Claude Code with its log export pointed at it. The receiver publishes through the event log of the history database the server reads, so give it the server's --config (starpulse-history.sqlite beside that file; without one, the working directory's). Port 4318, OpenTelemetry's default, is often taken: --port moves the receiver, and the endpoint below follows it.

uvx --from starpulse python -m starpulse.claude_code --config starpulse.toml --port 4319

claude --settings '{"env": {
  "CLAUDE_CODE_ENABLE_TELEMETRY": "1", "OTEL_LOGS_EXPORTER": "otlp", "OTEL_EXPORTER_OTLP_PROTOCOL": "http/json",
  "OTEL_EXPORTER_OTLP_ENDPOINT": "http://127.0.0.1:4319", "OTEL_LOG_TOOL_DETAILS": "1",
  "OTEL_RESOURCE_ATTRIBUTES": "vcs.ref.head.name='"$(git branch --show-current)"'"}}'

Pass the variables through --settings, not the shell: an env block in your user-level settings.json overrides OTEL_* variables set in the shell, so a shell export can leave a session exporting somewhere else. The session moves the task its branch names (TASK-<n> in the branch), so start Claude Code on that branch.

The receiver decodes each export but publishes only which session moved, on which event and when; prompt, reply and tool text is neither stored nor forwarded.

Report runs from any scheduler

starpulse emit start --workflow nightly --run 2026-10-03 --status running
starpulse emit end   --workflow nightly --run 2026-10-03 --status succeeded --step load --depends fetch

A workflow no adapter lists is drawn from the step graph its emit calls add up to, and that graph is kept in the history store across restarts.

A producer on another host, or an engine that can only send webhooks (Cronicle, Rundeck, a GitHub workflow_run relay), posts the same event to the server instead. Name an environment variable for the instance's token in the config (token_env, below), set it where serve runs, and send the token as a bearer:

curl -X POST http://localhost:8766/api/runs/events -H "Authorization: Bearer $CRON_INGEST_TOKEN" \
  -d '{"phase": "start", "workflow": "cron/nightly", "run_id": "2026-10-03", "status": "running"}'

The body takes emit's fields as JSON (phase, workflow, run_id, status, and optionally time, step and depends) with the workflow named <instance>/<workflow>. A token pushes only its own instance's workflows: a missing or wrong token answers 401, another instance's workflow 403, an event the contract does not allow 400, and none of them writes anything. The page draws an accepted event as pushed/<instance>/<workflow>.

Work the board from an agent

starpulse board --milestone launch --label api   # tasks per column, with dependencies, pull requests and moves
starpulse task show PROJ-45                      # one task: lane, what it waits on, pull requests, moves
starpulse task moves PROJ-45                     # every column it may move to, allowed or refused to the agent
starpulse task move PROJ-45 review               # move it as the agent; a refusal is the verdict, exit 1
starpulse task trace PROJ-45 --flow in-progress  # where the task has been: Board lanes, or one machine's events
starpulse machine show in-progress               # a machine's states, transitions and the tasks now in each
starpulse runs list                              # each workflow as <instance>/<workflow> with its latest status
starpulse runs start prod/nightly                # start a run-safe workflow through Run now; its run id
starpulse watch --task PROJ-45                   # one JSON line per change, until you stop it: wait without polling
starpulse analytics health --hours 72            # dwell and WIP per state, throughput and stuck tasks, with gap warnings
starpulse analytics level --hours 48             # the level's WIP, throughput, aging and per-source orbit shares
starpulse snapshot                               # everything the page draws, as one document
starpulse doctor                                 # does this install work: each check passes or fails, with why
starpulse skills install --claude --codex        # copy the bundled skills into .claude/skills and .agents/skills
starpulse help --agent                           # every verb with its arguments, output keys and exit codes

Four verbs work on files, and only demo without --mockup reads the server; each writes one JSON document the same way:

starpulse machine validate .starpulse/machines/*.yaml   # schema and compile errors, each with its file and line
starpulse machine import mermaid flow.mmd               # draft a machine file from a stateDiagram-v2 diagram
starpulse config check --config starpulse.toml          # unknown keys by name, and the effective config with defaults
starpulse demo --out demo.html                          # the self-contained demo page (reads the server's snapshot)

These verbs read the running server (starpulse serve) over HTTP: --server URL, else STARPULSE_URL, else http://localhost:8766. Each writes one JSON document to stdout and nothing to stderr, except watch, which writes one JSON line per change; an error is {"error": "...", "code": "..."}. The exit code is 0 for success, 1 for a refused or invalid request, a refused move or a failed doctor check, 2 for a usage error, 3 when the server is unreachable (the error names the address tried) or has no board writer and 4 for something not found. A verb reads the server on every call and keeps nothing, and help --agent is generated from the command parser, so it lists exactly the verbs there are.

Verb Arguments Document
snapshot the server's snapshot: graphs, flows, dags, pools, pulls, claims, insights, settled, ...
board --state, --milestone, --label, --assignee columns: each {state, name, tasks}; a task is {id, title, lane, assignee, milestone, labels, dependencies, waiting_on, prs, moves}
task show TASK a task as above, with its description; a completed or archived task has only its id and where it settled as lane
task moves TASK task, lane and moves: each column the task may move to as {allowed, reason, skill}, as the agent meets it
task move TASK, TO, --session ok, task, to, reason, skill and advice: the move made, or the refusal and the skill that satisfies it (exit 1); exit 3 when the board has no writer
task trace TASK, --flow task, flow (null without --flow), path and steps; the Board's {at, from, to} lane changes, or with --flow that machine's {at, event, state}, oldest first; an unknown flow exits 4, a task never seen has an empty path
machine list machines: each {name, states, tasks} with its state ids and its live task count
machine show NAME name, states (each {id, name, initial, final, count, tasks}) and transitions; an unknown machine exits 4 and names those drawn
machine validate PATH... ok and machines: each {path, ok, errors}, an error {file, line, message} (line is null when the compiler cannot place it); exit 1 when any file is refused. A guard or action name is taken as the adapter's to register
machine import mermaid SOURCE, --out written: the new file, by default .starpulse/machines/<name>.yaml; an existing file is refused (exit 1), a missing source is exit 4
runs list runs: each workflow as {workflow, status, raw, run_id, started_at, finished_at} with workflow <instance>/<workflow>, and error, the runs adapters' error or null
runs start WORKFLOW workflow and run_id: starts <instance>/<workflow> through the server's Run now path, so only a workflow in the instance's run_safe starts and only from the loopback or private network, as JSON with no foreign Origin (exit 1 when refused); an instance with no start exits 3, a workflow outside run_safe exits 4
watch --machine, --task one line per change after the connect snapshot, {event, data} with event task, move, pulls, claim or dags and data the server's delta; --machine keeps that machine's changes (board takes task, pulls and claim), --task that task's, and either drops dags; an unknown machine exits 4, the server ending the stream exits 3, and an interrupt exits 0
analytics health --hours, --stuck-hours now, window_s, stuck_after_s, states, throughput, stuck and warnings, below
analytics level --hours now, window_s, history_s, machine, goal, wip, throughput, time_in_state, aging, orbit and sources, below; a window longer than the history exits 1 and a server with no level exits 3
config check --config ok, file, unknown_keys, errors and config, the effective config with every default filled in (null when it does not load); exit 1 when it does not load
demo --out, --mockup, --server written: the HTML file; it reads the server's snapshot, or a design mockup directory with --mockup
doctor --config ok and checks: each {check, status, reason}, status pass or fail; exit 1 when any fails
skills list --user scope and skills: each {name, description, claude, codex}, each harness absent, installed, outdated or modified
skills install --claude, --codex, --user, --force scope and installed: each {harness, skill, path, was}; exit 1 when a copy was modified since install
help --agent exit_codes and verbs

analytics health reads GET /api/analytics/health[?hours=N][&stuck_hours=N] (a window of 168 hours and a stuck threshold of 24 by default), the Board's flow health from the history's lane changes. states lists each Board state with wip, the tasks in it now, and for a state that is not final the visits, mean_s and max_s of the stays that ended inside the window or are still going, open of them: a task still in its state counts to now, so its stay is flagged rather than left out. throughput is {count, per_day}, the entries into a final state in the window. stuck lists each task whose current stay in a state that is neither the first nor a final one has lasted stuck_hours or longer, longest first, each {task, state, since, dwell_s, counted_to_now}. warnings carry each gap the history recorded (kind gap: entries trimmed before it read them, so counts may miss them) and each lane the Board machine has no state for. History starts at a task's first recorded lane change, so a stay before it is not counted. The endpoint is 400 for an hours or stuck_hours that is no positive number, and 501 when the history (a board adapter's own) does not list every task's lane changes through lane_rows() and gaps().

analytics level reads GET /api/level[?hours=N] (a window of 168 hours by default), served by a hub (serve --hub) whose config has a [level] table. It counts the level's machine on the Backlog flow metric definitions, merged across the sources that forward to the hub, a source being the prefix of an event id (<source>/<id>; unattributed when none). wip is the runs now in a working state (orbit.working, else every state that is neither initial nor a terminal), throughput the entries into the goal in the window, time_in_state each non-final state's stays clipped to the window, and aging each working run's age since it first entered a working state against threshold_s, the 85th-percentile cycle time of the trailing 12 weeks (null with no completion to measure). orbit totals the ended runs per terminal and the working time per working state, and each of sources carries its ended runs with terminal_share, its dwell per working state with time_share; a set of shares sums to 1, and is empty, not zero, for a source with nothing ended or worked. History begins at the first event the hub holds: a window longer than it is refused (exit 1, the error naming the history's hours, history_s in the HTTP body), never padded with zero days. A server with no level is 404 (exit 3).

A move carries the actor that makes it. The machine YAML names, per event, who fires it (writers), and each move the server offers lists them as writers; POST /api/move takes {task, to, actor} with actor operator when absent, which is what the page sends. The server refuses an actor outside the event's writers before the board writer is asked, so a move declared for operator alone (sending an In Progress task back to Ready) is refused to starpulse task move, which always moves as agent. A board adapter's writer receives that actor as its third argument: writer(task, status, actor). /api/move is unauthenticated on the LAN, so this stops an agent's accident, not an adversary.

A move may also name the mover's session: POST /api/move takes {task, to, actor, session}, and starpulse task move sends --session, else STARPULSE_SESSION. A move that names one calls the writer with it as a fourth argument, writer(task, status, actor, session); one that names none calls it with three, so a writer written before sessions keeps working. The writer records the session as the task's holder when the move is a claim, BoardTask.holder carries it back, and a Written.advice string rides in the move's answer (advice in the CLI document, empty when the writer has none). The native and Backlog.md adapters' writers record the holder as a **Holder:** <session> line in the task's notes, in the same edit as the In Progress status, because the Backlog CLI drops a frontmatter key it does not know.

doctor runs every check even when one fails, so one call names every fault. The checks: config (the config file loads), server (it answers /api/snapshot), adapter:board and one adapter:<name> per [[runs]] instance (it is producing: the Board is read, the instance lists workflows and reports no error), and gh (installed and logged in, which the pull request reader needs).

skills reads no server. The package bundles four skills: operating-starpulse-board (what to work next, why a task cannot move, moving it), authoring-starpulse-machines (machine YAML, writers, guards, subflows, machine validate and machine import mermaid), writing-starpulse-adapters (the board, machine-events and runs contracts, the adapter kit, emit) and setting-up-starpulse (starting the server, config, doctor), and skills install copies them to .claude/skills (--claude) or .agents/skills (--codex) in the working directory, or with --user to ~/.claude/skills or ~/.agents/skills. An install records what it wrote, so a copy you edited afterwards is refused (exit 1) until you pass --force, while one the package has since updated is replaced; skills list reports which of the four each copy is.

waiting_on is the dependencies not yet completed. prs are the task's pull request links, each with the checks, merged state and open review threads the server last read when it has them.

Configure

starpulse serve --config starpulse.toml reads one TOML file; starpulse.toml in the working directory is read when it exists. Database credentials never go in it: they come from the driver's environment, such as PGPASSWORD.

The default SQLite store must be on a local disk because WAL mode does not work on network filesystems such as NFS or SMB. When the project or config lives on network storage, set database_url to a Postgres database instead.

# The tracker's web address: a task links to `<tracker_url>/tasks/<id>`. Unset, it opens in the page's own Kanban.
tracker_url = "https://tracker.example.com"

# History in Postgres instead of SQLite; install the extra with `uvx --from 'starpulse[postgres]' starpulse serve`.
database_url = "postgresql+psycopg://db.example.com/starpulse"

# The board adapter: a module under `starpulse`, or the dotted path of one an installed package provides.
# The rest of the table is that adapter's settings.
# With no [board] table the view draws its own Markdown board, `type = "native"`:
[board]
type = "native"
# path = ".starpulse/board"  # the board's directory, relative to this file; created empty when absent
# machine = "board.yaml"     # a machine file for the Board: its transitions and `writers` decide which moves are offered, and to whom

# To draw a Backlog.md project instead:
# [board]
# type = "upstream_backlog"
# path = "backlog"       # the project's backlog/ directory, relative to this file
# command = "backlog"    # the upstream Backlog.md CLI (`npm i -g backlog.md`) that writes a move (`backlog task edit <id> -s <status>`); a fork of it that lacks `backlog init` is not it
# machine = "board.yaml" # as above

# To draw a Jira project instead (read-only; building the board reads the site once, to import the workflow):
# [board]
# type = "jira"
# url = "https://example.atlassian.net"  # the site, http or https
# project = "PAY"                        # the Jira project key, which is each task's team
# workflow = "Payments Software Workflow" # the Jira workflow imported as the Board machine
# token_env = "JIRA_TOKEN"               # the environment variable holding the token: Bearer, or with `user` the Basic password
# user = "ada@example.com"               # Jira Cloud: the account the API token belongs to
# interval = 30                          # seconds between polls

# One instance of a runs adapter, a module under `starpulse` or the dotted path of one an installed package provides
# (it offers `start(url)` and `follow(url, runs, log)`); its workflows are drawn as `<name>/<workflow>`.
[[runs]]
name = "dagu"
type = "dagu"
url = "http://dagu.example.com:8080"
run_safe = ["nightly"]                   # the workflows the page's Run now may start
domains = { Data = ["nightly", "etl"] }  # how the page groups this instance's workflows
token_env = "DAGU_INGEST_TOKEN"          # the environment variable holding the token `POST /api/runs/events` accepts for
                                         # this instance; the token never goes in this file; omit the key and the instance takes no pushed events

GitHub Actions

type = "github_actions" reads one repository's workflows: each active workflow file is a workflow named for the file (ci.yml), its jobs are the steps (waiting on their needs), and a job a run took once also lists its steps. A run's status and conclusion become StarPulse's statuses (queued, running, succeeded, failed, aborted, skipped) and GitHub's own label stays in raw; a label the mapping lacks is an error, never a failure.

[[runs]]
name = "gh"
type = "github_actions"
url = "https://github.com/trantor-org/starpulse"   # or `owner/name`
run_safe = ["ui-preview.yml"]
  • Credentials come from the environment: GITHUB_TOKEN or GH_TOKEN (read and actions: write on the repository), and GITHUB_API_URL for GitHub Enterprise Server. Without a token the repository is still read, at GitHub's lower unauthenticated rate limit, and nothing starts.
  • Run now dispatches the workflow on the default branch (workflow_dispatch) and answers its run id. It is drawn only on a run_safe workflow whose file declares workflow_dispatch; any other workflow is refused.
  • Events. The repository is listed every 60 s. A workflow_run webhook, mapped with starpulse.github_actions.workflow_run_entry and sent to the ingest (or starpulse emit), reads that workflow again at once.

Show pull requests and Copilot work

python -m starpulse.github reads a repository's 30 most recently updated pull requests every --interval seconds (300 by default) and appends their events to the event log, beside the server:

uvx --from starpulse python -m starpulse.github --repo trantor-org/starpulse
  • github-pull-request machine. PR_OPENED, then CHECKS_PASSED or CHECKS_FAILED once every check run on the head commit has completed, then PR_MERGED or PR_CLOSED.
  • copilot machine. WORK_STARTED and WORK_FINISHED from the copilot_work_started and copilot_work_finished timeline events (the actor is the person who asked), RUN_STARTED and RUN_FINISHED from the dynamic workflow run "Running Copilot cloud agent", REVIEW_RUN_STARTED and REVIEW_RUN_FINISHED from "Running Copilot Code Review", and REVIEW_SUBMITTED from a review by copilot-pull-request-reviewer[bot]. GitHub exposes no per-tool trajectory for these sessions, so Copilot gives spans and outcomes, not trajectories. GitHub documents neither timeline event name; the adapter's tests pin them on recorded responses.
  • Keys. An event is keyed by the task the pull request's branch names (--key, --branch and --key-format, as for the Claude Code receiver), else by the pull request as a run (owner/name#7).
  • Credentials are GITHUB_TOKEN or GH_TOKEN (read access to pull requests, checks and Actions), and GITHUB_API_URL for GitHub Enterprise Server. A re-read appends nothing already in the log.

The two machine definitions ship in the package under starpulse/machines/.

Run a hub

starpulse serve --hub serves the same package from a Postgres history, for a hub that instances forward to. Install the hub extras (uvx --from 'starpulse[hub]' starpulse serve --hub) and set database_url to a Postgres database in the config; a config with none, or with a SQLite URL, is refused before anything starts. The hub brings the database's schema to the latest revision on every start: the history tables are versioned with the package by Alembic (starpulse/migrations, revisions recorded in starpulse_alembic_version), so upgrading the package and restarting upgrades the schema. An instance without --hub keeps its SQLite file and never imports the hub extras.

A hub also requires an [oidc] table, because viewers sign in with the hub's OpenID Connect issuer before anything is drawn; a hub without one is refused before it starts, and an instance without --hub refuses the table rather than serve ungated. The hub is a confidential client of the issuer (authorization-code flow with PKCE, a state and a nonce; ID tokens must verify against the issuer's published keys):

[oidc]
issuer = "https://id.example.com/realms/flow"          # its /.well-known/openid-configuration names the endpoints
client_id = "starpulse-hub"
client_secret_env = "STARPULSE_OIDC_SECRET"            # the environment variable holding the client secret
redirect_uri = "https://hub.example.com/auth/callback" # registered at the issuer; its /auth/callback path is fixed
allowed_groups = ["flow-viewers"]                      # an account holding none of these is refused with the reason
groups_claim = "groups"                                # optional: the ID token claim that lists an account's groups
scopes = ["openid", "profile", "email"]                # optional: add the scope your issuer needs for the groups claim
engine_token_env = "STARPULSE_ENGINE_TOKEN"            # optional: the token of an insights engine, never a viewer's

Before sign-in every path but /auth/login and /auth/callback answers 401, including the page, /api/events and every write. Sign-in sets an HttpOnly session cookie that lasts eight hours; sessions live in the hub's memory, so a restart signs everyone out. The credentials are separate: a per-instance token passes only on POST /api/runs/events and POST /api/forward, the engine token only on the engine's routes, and neither signs a viewer in. A new route of the server is a viewer route until the gate says otherwise. The test suite signs in against a mock OIDC server container, so it needs Docker or Podman for those cases.

Retention and rollups

A hub keeps its raw events (starpulse_events) in one partition per UTC day, keyed on the event's at time, and drops whole days instead of deleting rows. An instance on SQLite is unchanged: it keeps one table and prunes by deleting rows.

hub_retention_days = 14   # the default; a whole number of days, 1 or more
  • Partitions. The hub creates today's and tomorrow's partition before it serves and again every hour, so an insert at midnight finds its partition already there. An event whose at falls on a day with no partition is refused by the database, so a forwarder must create that day's partition (starpulse.hub.ensure_partitions) or refuse events older than the retention bound.
  • Retention. A day more than hub_retention_days before today is rolled up and then dropped (DROP TABLE, never DELETE), in one transaction, so a partition is never dropped without its rollup. A reader whose cursor sat in a dropped day finds the oldest retained event past its cursor on its next poll and records the span in starpulse_gaps.
  • Rollups. starpulse_day_rollups holds one row per UTC day, team, machine and state: entries, how many tasks or runs entered the state that day; open_entries, how many of those had not left it when the day was rolled up; and seconds, how long the others stayed, from entering the state to the next event that moved the task or run out of it (which may be on a later day). The team is the entering event's team field, and "" when the event names none. Trends older than retention read this table; anything that needs individual events is limited to the retained days.

Post findings from an engine

A hub with engine_token_env set takes findings from an external engine: a separate package that reads the hub's history and says what it found. This package holds no engine code; the insights API is the fourth contract beside the board, machine-event and runs records, and its record is Finding (starpulse/schemas/insights.schema.json):

curl -X POST https://hub.example.com/api/insights -H "Authorization: Bearer $STARPULSE_ENGINE_TOKEN" -d '{
  "id": "slow-review",
  "engine": {"name": "skill-coach", "version": "1.4.0"},
  "scope": {"team": "platform", "state": "review"},
  "severity": "warn",
  "text": "Review takes four times as long as the norm.",
  "evidence": [{"label": "time in review", "url": "https://hub.example.com/history?state=review"}],
  "created_at": 1700000000
}'
curl -X DELETE https://hub.example.com/api/insights/slow-review -H "Authorization: Bearer $STARPULSE_ENGINE_TOKEN"
  • Fields. id names the finding, engine the name and version that made it, severity is info, warn or act, text is at most 280 characters, and created_at and the optional expires_at are epoch seconds. evidence lists labelled links, each exactly one of a url or a history query. scope may name a team, machine, state and task, all optional. The contract has no field for a person, and a body with an unknown field, a scope that names an assignee or a user included, is refused: a finding is about work, never about someone.
  • Answers. A new id answers 201 {id, replaced: false}. A re-post of an id replaces its finding and answers 200 {id, replaced: true}. A body the contract refuses answers 400 naming the field to fix, one over 64 KiB 413, and a history store that refuses the write 503; none of them writes or sends anything. DELETE /api/insights/<id> retracts a finding (200 {id, retracted: true}), and an id that is unknown or already retracted answers 404.
  • Credentials. Only the engine token reaches these routes, and no viewer's session or forwarder's token does. A hub without engine_token_env, and an instance without --hub, has no insights routes and answers 404.
  • History and stream. Findings are kept in starpulse_insights, a retracted one with its retracted_at. The stream sends an insight event {id, finding} for each post and re-post and {id, finding: null} for a retraction, and the snapshot's insights lists the findings neither retracted nor past their expires_at, so a page that connects later draws them, as does a hub that restarts.

An engine author tests against the real routes with InsightsEngineKit from starpulse.adapter_kit: override produce() to return the engine's findings as plain dicts, and the kit checks each against the contract and schema, posts, re-posts and retracts each through a served stack and asserts the stream sends every state, and asserts a finding scoped to a person is refused.

Configure a level

A hub draws one level above the Board: a flow graph over the trajectories of one Board machine, merged across sources. It is configuration, not an org chart; the package has no pod, department or org. A [level] table names what the level reads and how it is judged. An IC instance parses and checks the table but draws no level.

[level]
machine = "board"        # the Board machine whose trajectories the level reads
goal = "done"            # the terminal state the level is judged by
gates = ["review"]       # policy states every run should cross
terminals = [            # every way a run ends
  { id = "done", role = "goal" },
  { id = "archived", role = "abandoned" },
]
facets = [{ id = "source" }, { id = "type", label = "work type" }, { id = "repo" }]
title = "Flow graph"     # what the page calls the level
subject = "task"         # what one trajectory is
runs = "agent sessions"  # what is attached to a trajectory
series = "delivery"      # the card series the level opens

[level.orbit]
suns = "working"                                   # "terminal" (default) or "working"
working = ["ready", "in_progress", "review"]       # the working states drawn as suns when suns = "working"

[level.activity]
measure = "share"   # "share" (default), "count" or "flux"
pace = "min"        # "live", "min" (default, one day per minute) or "fast" (one day per ten seconds)
Field Required Meaning
machine yes The Board machine the level reads.
goal yes The state the level is judged by; one of terminals.
terminals yes Every way a run ends, each { id, role }. The role is goal, abandoned or another outcome to watch; each id is listed once.
gates no Policy states every run should cross. Default: none.
orbit.suns no What the orbit view circles: terminal states, or the working states of orbit.working. Default terminal.
orbit.working with suns = "working" The working states drawn as suns. None may be a terminal.
facets no The fields a viewer groups and filters by, each { id, label }; the label defaults to the id.
activity.measure no How activity becomes dots: share, count or flux. Default share.
activity.pace no How fast the page replays it: live, min or fast. Default min.
title no The level's name on the page. Default Flow graph.
subject no What one trajectory is called. Default task.
runs no What is attached to a trajectory. Default runs.
series no The card series the level opens. Default none.

A level that cannot be read is refused when the config loads, naming the key. Every state it names (goal, gates, terminals, orbit.working) must be a state of machine: when the board is assembled, a level that names a state its machine lacks, or a machine the board does not draw, is refused, naming it, before anything is served.

A viewer's facet filter keeps a run only when the run has a value for each selected facet and that value is selected. A run without a value for a selected facet is excluded, never counted as zero or as an empty value; selecting nothing keeps every run.

Forward an instance's events to a hub

An instance sends its machine and runs events to a hub over HTTPS, a batch at a time, in log order. Each side is config; neither needs the hub extras on the instance.

On the hub, one [[sources]] table per instance names the variable that holds that instance's token. Setting the variable is the grant and removing the table (then restarting serve) is the revocation:

[[sources]]
name = "ana"                 # the instance; the hub stores its events as `<name>/<event_id>`
token_env = "ANA_FORWARD_TOKEN"

aggregates_only = false      # true: refuse any batch that opts in to names

On the instance, [forward] names the hub and the variable holding the token the hub issued:

[forward]
url = "https://hub.example.com:8766"
token_env = "HUB_FORWARD_TOKEN"
batch = 50                   # events per request, 1 to 200
  • What leaves. Only the machine and runs streams, cut to the fields their contracts name (machine, event, task or run, time, and a run's workflow, run_id, status, step, depends). A field a producer added stays home.
  • Names stay home by default. actor and assignee leave only while the instance is opted in. Run starpulse forward opt-in, opt-out or status (--config as for serve); the flag is starpulse-forward.json beside the config. The forwarder reads it before every batch, so an opt-out applies at the next send with no restart and no call to the hub, even while the hub is unreachable. A batch that failed while opted in is rebuilt from the log, so it goes out without names after an opt-out. A hub with aggregates_only answers an opt-in 403, and the forwarder sends that batch, and the ones after it, without names until the instance opts out and in again.
  • Exactly once. The forwarder reads the instance's event log from a cursor stored in the instance's own database (forward:<url>), not from a Redis consumer group. The cursor moves only after the hub answers 200, so a batch that fails, or a process killed between the send and the answer, is sent again whole; the hub stores each event_id once and drops the repeat. A new url replays the retained log to the new hub.
  • POST /api/forward takes {"opt_in": bool, "events": [{"event_id", "stream", "fields"}]} (at most 200 events and 1 MiB) as a bearer. A missing or wrong token answers 401, an opt-in to an aggregates_only hub 403, a body that is no batch 400, and none of them writes anything. An invalid event is counted rejected in the 200 so it cannot hold the cursor; a 503 means the hub's log refused an event and the batch repeats.
  • [forward] is for an instance; serve --hub refuses it.

Write a board adapter

A board adapter connects StarPulse to a tracker. It is a module with a board(settings, base) function that returns a starpulse.board.Board: settings is the rest of the [board] table and base is the config file's directory. The Board says:

  • which lifecycle machines the page draws (machines),
  • how the tracker's tasks reach the page (start, which feeds each task as it changes, and keys, the task keys it recognizes),
  • and optionally a writer(task, status, actor) for moves made on the page or by an agent (each task's moves may list the writers the machine declares per event), an assign for assignee changes, a read, edit and archive for the full task record and guarded edits and archives (edit needs read; the snapshot's capabilities says which the board has), a create(title, details) that makes a task in the board's starting lane with the details the page filled (description, priority, labels, milestone, assignee, dependencies, acceptance criteria) and answers with its id (POST /api/tasks; capabilities.create), and its own history.

starpulse.native, the default, keeps tasks as Markdown files under .starpulse/board/ and writes moves, assignee changes and new tasks to them in Python, and reads a task's full record (priority, description, acceptance criteria, plan, notes and definition of done) back for the task view; it offers no edit or archive yet. starpulse.upstream_backlog is the reference adapter for a tracker with its own writer: it polls a Backlog.md project's Markdown files, puts every task in the team named by its config.yml's project_name (a project that sets none is refused, so no task lands in a default team), takes the machine from the project's own statuses (any lane reaches any other, unless machine names a machine file whose states are those lanes and whose writers reserve a move to an actor, such as operator), and writes moves with the backlog CLI, answering a failed write with the CLI's output. An adapter with a writer subclasses BoardAdapterKit with writer set, and the kit then checks that a move the operator may make is written and one the machine leaves to the operator is refused to the agent. A board kit also declares teams, the team key the adapter derives for each task it produces, and asserts each record carries it. starpulse.jira reads a Jira project and has no writer. It imports the named workflow from the site's workflows/search as the Board machine (a state per status, an event per transition, a global transition leaving every other status), refusing a workflow with a status in no transition, two statuses that make one lane, or no single initial transition. Each issue is a task in the lane of its status and the team of its Jira project; an issue it Blocks waits on the blocker, and a status in Jira's done category settles it as completed. Name your module in [board] type and StarPulse imports it.

Public surface

What a release keeps compatible; a minor 0.y release may break it, and its notes say so. Everything else in the package is internal and can change in any release.

  • The starpulse command line: its verbs, their JSON output and their exit codes.
  • The documented entry point python -m starpulse.claude_code.
  • The config file's keys and the machine YAML with its JSON Schema (machine.schema.json).

The modules an adapter may import, each exporting exactly the names in its __all__:

  • starpulse.board: the board adapter seam (Board, Written and the writer and task protocols).
  • starpulse.board_feed: the feed a board adapter places tasks on (BoardFeed) and what following a stream needs of it.
  • starpulse.contracts: the board, machine-event, runs and insights (Finding) records, their JSON Schemas, and RunsSink.
  • starpulse.adapter_kit: the test kit an adapter or insights engine author runs against their work, and the helpers that serve it.
  • starpulse.machine_definition: loading and validating a machine, and the Registry of guards and actions.
  • starpulse.snapshot: how a machine is described to the page, and how its workflows are named.
  • starpulse.history: the history a board adapter may keep itself, and placing a task's events on a machine.
  • starpulse.event_log: the database event log producers append to and readers tail.
  • starpulse.config: loading the config file, and the runs adapter a type names.
  • starpulse.harnesses: loading the harness file, the tiers and efforts an agent profile names.
  • starpulse.mermaid_import: drafting a machine definition from a Mermaid state diagram.
  • starpulse.otlp: decoding Claude Code's OpenTelemetry log export.

A package test pins this list and each module's names, so adding or removing one is a reviewed change.

Develop

git clone https://github.com/trantor-org/starpulse && cd starpulse
uv sync
pnpm --dir starpulse/web install && pnpm --dir starpulse/web build   # the page, built into starpulse/static
uv run starpulse serve

uv run pytest runs the suite with Python alone. When Docker or Podman is available, it also runs the Postgres-backed integration cases; otherwise those cases are skipped. uv sync --no-group hub installs without the hub extras, as an IC instance runs, and the suite then skips the Postgres and hub cases. pnpm --dir starpulse/web run check typechecks, lints, tests and builds the page. bench/ holds the hub-ingest and instance event-log benchmarks.

design/ is the design mockup, a static page over a saved snapshot (data.js); view it with uv run python -m http.server 8781 --directory design, and uv run python -m starpulse.demo --mockup design --out mockup.html writes it as one scrubbed file. A pull request that changes the page (starpulse/web/**), the mockup or the preview itself gets one UI-preview comment from .github/workflows/ui-preview.yml: screenshots of each changed surface's scrubbed demo, built by ci/ui_preview.py against the demo config ci/preview.toml, with the demos published to trantor-org/starpulse-demo under pr-<N>/ while the pull request is open. The preview is review context and never gates the pull request. A push to main that touches the same paths republishes both demos under main/, the live demo linked above.

Contributing

Open an issue for a bug, a feature or a question. Pull requests come from collaborators; CONTRIBUTING.md has how both work.

Releases

StarPulse is versioned 0.y.z until its interfaces settle: a minor version can break the config file, the adapter contract or the command line, and a patch release never does. Each release is a GitHub Release whose notes list the pull requests it contains, published to PyPI as starpulse.

License

MIT; see LICENSE.

Metadata

Release files for starpulse 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for starpulse 0.2.0
File Size Uploaded Provenance
starpulse-0.2.0.tar.gz 353.1 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for starpulse 0.2.0
File Interpreter ABI Platform
starpulse-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 702.6 kB

Release files / starpulse-0.2.0.tar.gz

Download URL starpulse-0.2.0.tar.gz
Size 353.1 kB
Tags Source
SHA-256 checksum
How to use checksums
ccf945dd7fc092f031244040169afe2499a98323310b89458a035c89f03cf407
BLAKE2b-256 checksum
How to use checksums
bf67d7a5aa1546459b9d5f17516d2771bb0fce21d427222121b51a45cdf84c02
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.23 {"installer":{"name":"uv","version":"0.12.23","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / starpulse-0.2.0-py3-none-any.whl

Download URL starpulse-0.2.0-py3-none-any.whl
Size 349.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3dea273038030bbf7104554e41cb29e33942aed7e6486c48d2bc554bcc25dbdb
BLAKE2b-256 checksum
How to use checksums
a94255b5cb2a01163bd80324e829a11c65a63c253c7c32d8ed65b605ad2fff41
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.12.23 {"installer":{"name":"uv","version":"0.12.23","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Security for starpulse 0.2.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page