Execution Control for Data Teams

See your pipelines.Control your execution.

F-Pulse: visual pipeline builder — see every step, control every run
D-Pulse: enterprise control plane — governance, lakehouse, observability
Pulse-Agent: autonomous data agent — plugs into any tool you already use
Built with
PythonReactDuckDBFlinkOllama
Full stack →
3 min
First Pipeline
100%
Execution Visibility
9
Control Planes
124+
Connectors
9
AI Providers
0
Black Boxes
Why Switch?

Black-box stack vs. Hybridyn

AspectTraditionalHybridyn
Execution visibilityLogs scattered across toolsEvery step visible on canvas
Failure handlingAlerts → manual investigationRoot cause + one-click fix
GovernanceBolted on after the factBuilt in from day one
Time to first pipelineWeeks to months3 minutes (Docker Compose)
Control over runsCLI scripts + hopeVisual control: queue, retry, approve
Data sovereigntyVendor black boxesSelf-hosted, zero data egress
The 9-Plane Architecture

Purpose-built. Deeply integrated.

Three clusters — each plane handles one concern, all planes work as one.

Core — Move Data
Connectors
280+ sources via Airbyte protocol
Execution
Priority queues, engine routing, quotas
Lakehouse
Medallion Bronze → Silver → Gold
Intelligence — Understand Data
AI
9 providers, NL→SQL, agents, local LLMs
Catalog
Discovery, profiling, auto lineage
Serving
Data products, QueryLab, REST APIs
Control — Govern & Monitor
Governance
5-tier RBAC, contracts, classification
Observability
Health scores, SLA tracking, alerts
Pipeline
Visual builder, templates, expressions
Interactive Architecture
HybridynData OSIngestionProcessingStorageServingAI / MLCatalogGovernanceObservabilityOrchestrationCore DataIntelligenceControl Plane
Live Observability
Platform Overview — D-Pulse
Last 24hAll Systems
Pipelines Active
24+3
Records / min
1.2M+12%
Avg Latency
45ms-8ms
SLA Score
99.7%0.0%
Throughput
Records Errors
Platform Health
98.7Health Score
Trend (7d)
Active Pipelines
NameStatusRateHealth
sales_pipeline_v2running42K/m
98
user_events_cdcrunning18K/m
100
product_catalog_syncrunning8K/m
95
clickstream_bronzewarning125K/m
82
order_enrichmentrunning5K/m
99
5 pipelines monitoredStreaming...
AI-Native · Provider Agnostic · Privacy First

Describe it. Hybridyn builds it.

> "Create a sales pipeline"
AI generates nodes, connects, sets scheduling.
> "Why did yesterday's job fail?"
Root cause analysis + fix suggestion.
> "Show me revenue by region"
NL→SQL → executes → results instantly.
Run Ollama locally — data never leaves your VPC.
hybridyn ai
$ hybridyn ai providers
Claude
OpenAI
Gemini
Azure
Ollama
DeepSeek
Mistral
Groq
Custom
> Agent capabilities
Create pipelines from natural language
Multi-step autonomous workflows
Query data without writing SQL
Debug failures automatically
Extensible with custom tools
terminal
$ git clone https://github.com/hybridyn/fpulse
$ cd fpulse && docker compose up -d
PostgreSQL ready
Redis ready
MinIO ready
Redpanda ready
F-Pulse API ready
F-Pulse UI ready
$ open http://localhost:5173
Pipeline canvas ready.
Time to First Pipeline

Running in 3 minutes. Not 3 sprints.

Single command → full stack running
Visual pipeline builder ready instantly
Preview data at every node before you ship
Self-hosted — your data never leaves your network
No cloud account, no vendor lock-in
Products

Hands. Brain. Body.

Three pillars. One stack. Pick the piece you need — they all work together.

F-Pulse

Free & Open Source

See every step. Control every run. Visual pipeline builder where you design, preview, and debug — not guess.

Best for: Data engineers, SQL teams, POC
Visual ControlLive Preview124 ConnectorsTemplates
Download free

F-Pulse+

Production Control Layer

Control who runs what, where, and when. Production execution with encrypted credentials, RBAC, audit, and session governance.

Best for: Teams shipping to production
Execution ControlEncryption5-Tier RBACAudit
Learn more

D-Pulse

Enterprise Control Plane

Full control over your data estate. Lakehouse, governance, catalog, lineage, observability — one system, one truth.

Best for: Platform teams, enterprises
GovernanceLakehouseLineageObservability
Request demo

Pulse-Agent

Data Context Agent

General-purpose data context agent. Plugs into any DE/DA/DS tool — Airflow, Snowflake, dbt, Tableau, Jupyter, F-Pulse, D-Pulse. Local-first.

Best for: Data engineers, analysts, scientists
Any Tool34 SkillsLocal LLMAmbient Mode
See Pulse-Agent
The stack: F-Pulse (hands) + D-Pulse (body) + Pulse-Agent (brain)
Compare all plans →
Who It's For

Built for teams who need control

Data Engineers

Control pipeline execution. Visual debugging, auto-retry, live monitoring at every node.

Execution ControlTemplates

Analysts & SQL Teams

Build pipelines without Python. SQL transforms, live data preview, self-serve execution.

SQL-FirstLive Preview

Governance & Security

Control who runs what. RBAC, lineage, approval gates, data classification.

RBACApproval Gates

Platform Engineers

Control compute allocation. Worker pools, priority queues, multi-tenant isolation.

Worker PoolsQuotas
Integrates With Your Stack
SnowflakePostgreSQLKafkaSparkDatabricksS3AzureOllamaDockerKubernetesSupersetJupyterLab

Stop guessing. Start controlling.

F-Pulse to see and build. D-Pulse to govern and scale. Pulse-Agent to automate. No lock-in.

MIT licensed · Free forever · No credit card required