Hybridyn F-Pulse OSS: Open Source Visual Data Pipeline Builder.
Build, preview, run, and debug self-hosted ETL pipelines with live data at every step. Hybridyn F-Pulse OSS is Apache 2.0 and runs on your infrastructure with a visual canvas, 66 connectors, SQL transforms, local AI, and Steward reliability checks.
F-Pulse OSS by Hybridyn Data Labs is open-source execution control for data pipelines — the full product, self-hosted. Build, preview, run, and debug locally with a visual canvas, 66 connectors, SQL transforms, AI assistance, and Steward reliability checks. Built for SQL-first data engineers, analysts, and small teams; when you need team governance, F-Pulse+ is the natural upgrade.
| id | name | status | last_active | |
|---|---|---|---|---|
| 1 | Sarah Chen | s.chen@acme.co | active | 2h ago |
| 2 | Marcus Reid | m.reid@corp.io | active | 5m ago |
| 3 | Anika Patel | a.patel@tech.co | idle | 1d ago |
Full visibility. Full control.
Everything SQL-first data engineers and analysts need to design, run, and ship a pipeline — visual builder, live data preview, 66 connectors, scheduling, and an AI assistant. Open source, all free.
Visual Pipeline Builder
Drag-and-drop workflow canvas. Connect sources, transforms, and destinations with a schema-aware expression editor.
66 Connectors, Honest Maturity
11 databases, 12 warehouses, 11 file & storage, 21 APIs & apps, 11 operations & AI — the same 66 you see in the picker. We grade them in public: of the 27 SaaS connectors in our live cert matrix, 19 are Beta and 8 Experimental, none yet Verified or Production. Need one we don't ship? Paste OpenAPI → working connector in 90 seconds.
SQL Transforms
Full expression editor with schema awareness, auto-complete, and AI-assisted SQL generation.
Smart Scheduling
Cron-based with dependency awareness. Backfill, retry policies, and SLA monitoring out of the box.
Live Monitoring
Live execution status, run history, data quality metrics, and alerting.
Built-in AI Assistant
Local-first via Ollama, cloud-optional. Generates SQL, explains failures, drafts pipelines from natural language.
Beyond logs. The layer above pipeline execution.
Other ETL tools tell you a pipeline failed. F-Pulse Steward notices that two of your pipelines are reading the same source into different warehouses — and remembers your fix the next time someone re-introduces the pattern. Read-only by construction. Ships in OSS, not paywalled.
Detects across pipelines
Duplicate sources, duplicate pipelines, orphaned tables, schema drift, join explosions — workspace-level patterns no per-job monitor catches. < 50ms per scan.
Learns from your fixes
Memory Layer turns operator dismissals + resolutions into typed, human-approved lessons. Propose → approve → revalidate workflow.
Escalates what you ignore
Persistent-occurrence counter promotes P3 → P2 → P1 across scans. What you keep ignoring gets louder, not quieter.
Read-only by construction
Never mutates pipelines. Never runs fixes. Never changes execution policy. Advisor, not actor — enforced at the runtime layer.
Stop guessing. See everything.
Every pipeline run is fully visible. Preview data at each node, control retries, approve promotions.
Live Node Preview
Click any node mid-run. See the actual data flowing through it — Table, Schema, or JSON view.
Execution Queue
Worker pools with P1-P5 priority. Control which pipelines run first when resources are constrained.
Retry with Visibility
Failed step? See exactly what data caused the failure. One-click retry from the failed node, not the beginning.
Approval Gates
Require approval before promoting to production. Dev builds, lead reviews, admin approves. (F-Pulse+)
From idea to production in three steps
Design
Drag sources, transforms, and destinations onto the canvas. Use templates to start fast.
Run Locally
Run pipelines on your laptop, inspect outputs, debug with real data. Schedule, monitor, ship.
Add a Team
Move to F-Pulse+ when you need governance. Encrypted credentials, 5-tier RBAC, audit trail, and security controls.
What developers build with F-Pulse
Real workflows running on F-Pulse today, built by solo developers on their own machines.
Postgres → Snowflake CDC
Stream changes from operational Postgres into a Snowflake warehouse with schema drift handling and automatic backfill on first run.
Bronze → Silver → Gold ETL
Medallion architecture template: raw landing, cleaned/typed silver, business-ready gold marts. Run on a schedule or trigger.
Reverse ETL to SaaS
Push warehouse-modeled customer attributes back into Salesforce, HubSpot, or Intercom so sales and marketing see the same numbers.
Common questions
Is F-Pulse OSS related to Fisher Labs F-Pulse?
No. Hybridyn F-Pulse OSS is open-source visual data pipeline software by Hybridyn Data Labs. It is unrelated to Fisher Labs' F-Pulse metal detector or any physical detection device. The shared name is only a naming collision; this product is software for ETL, data orchestration, local AI, and self-hosted pipeline execution.
Is F-Pulse OSS really free?
Yes. F-Pulse OSS v1.0.0 is open source under Apache 2.0. Self-host it, fork it, modify it, ship it. Telemetry is off by default (opt-in only), no usage caps, no time limit. F-Pulse+ is a separate commercial tier for teams that adds workspace RBAC, two-gate approvals, vault-backed credentials, drift detection, lineage, SSO, and 4-hour SLA support — it is not free or open source. F-Pulse OSS alone is fully usable for solo developers forever.
How do I install Hybridyn F-Pulse OSS?
Fastest with Python 3.11+: pip install fpulse, then run fpulse and open http://localhost:8001. No Python? Docker works on any OS — clone the repo and run docker compose up -d. On Linux, native packages (.deb / .rpm / .AppImage) are on the GitHub Releases — no Python or Docker needed. Signed Windows (.exe) and macOS (.pkg) installers follow once they're notarized; until then use pip or Docker Desktop.
When should I upgrade from F-Pulse to F-Pulse+?
Upgrade when more than one person needs workspace RBAC, when you need DEV→PROD promotion with two-gate approvals, when you need vault-backed credentials with rotation, when you need lineage or drift detection, when you need OIDC/SAML SSO, or when you need 4-hour SLA support. If you're a solo developer running on your laptop, F-Pulse alone is the full product.
Get Hybridyn F-Pulse OSS Free
Apache 2.0. Self-hosted, SQLite, loopback by default. Pick the path that fits.
pip install
One line, straight from PyPI. The easy path.
Python 3.11+
pip install fpulseDocker Compose
No Python needed. Clone the repo, then run it — same on any OS.
Windows · macOS · Linux
git clone https://github.com/hybridyn/fpulse.git; cd fpulse; docker compose up -dLinux Packages
.deb / .rpm / .AppImage — no Python, no Docker.
Linux servers & desktops
Download from ReleasesFrom Source
Clone + editable install.
Developers · Python 3.11+ & Node 20+
git clone · pip install -e .F-Pulse binds to 127.0.0.1 — invisible to your LAN. No port exposure to coworkers, hotel WiFi, or conference networks. Set FPULSE_ALLOW_LAN=1 for on-prem multi-user.
One command registers F-Pulse as an OS service — auto-starts at login, survives crashes/reboots. Manage with fpulse service-status / install-service / uninstall-service.
fly launch --copy-configrender.yaml blueprintrailway.tomlAll three mount /data to a managed volume so SQLite + configuration survive restarts.
See it work. Control the run.
Start free with Hybridyn F-Pulse OSS. Control production with F-Pulse+. Scale to Pulse OS for enterprise.