Plugboard is an event driven modelling and orchestration framework in Python for simulating and driving complex processes with many interconnected stateful components.
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Updated
Oct 20, 2026 - Python
Plugboard is an event driven modelling and orchestration framework in Python for simulating and driving complex processes with many interconnected stateful components.
Minimal, open-source end-to-end process mining pipeline using a real database, SQL/Python transformations, event-log export, and PM4Py process discovery.
Repository of the paper. This repo contains the benchmarking results of the Process Extraction from Text tools tested in the paper.
Runnable examples for the ProcessMind API (v1): multi-tenant onboarding, users & seats, BPMN, data uploads and one-time login links — JavaScript, Python, curl. OpenAPI: https://api.processmind.com/v1/openapi.json
A modern Flet-based UI for PM4PY that enables process mining, discovery, conformance checking, filtering, and analysis of event logs without writing code.
Profile README — process intelligence, data engineering, and AI-Ops experiments.
FIDES: A Neuro-Symbolic Conversational Tool for Faithful Production Process Intelligence
Worktrace AI — independent third-party profile of a public API surface, by API Evangelist. Worktrace AI is an enterprise workflow-automation platform that helps organizations discover, reimagine, and automate repetitive work. A desktop application observes work across existing tools to identify high-ROI AI automation opportunities, surfaces process
Setup an SAP Data Intelligence data pipeline to connect Qualtrics surveys data to SAP Signavio Process Intelligence via Ingestion API.
A local process mining workbench with an AI process analyst for event logs.
LifeNode Pillar III: Cosmic BioEngineering. Moving from artificial tools to living organs. We merge biological computing (mycelial networks), quantum tech, and process intelligence to build deep space habitats and re-sync humanity. Welcome to the era of Process Engineering.
TRAJECTORY OS. / Trajectory-Native AI R&D Infrastructure. / A Process Intelligence system for persistent multi-agent R&D. //
Enterprise fraud detection using process intelligence, analytics, and risk stratification
Process discovery and operational analytics pipeline that transforms historical process data into event logs, flow intelligence and management insights.
Experimental Python tool for assessing raw data readiness for process mining and event-log generation
Process intelligence for multi-agent development. Structured handoff protocols reduce redundant token spend by 30-50% by passing precise context between pipeline stages instead of agents re-discovering it from scratch.
Turns service operations data into trusted KPIs, explainable analysis, controlled automation, and measured follow-through.
A runtime evidence layer for AI agents in enterprise workflows.
Process Intelligence application that transforms structured operational data into process maps, analytics and automation recommendations.
Built by @tristan-nextcz · Tool-neutral event contract and reference analyzer for auditable process intelligence.
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