Pipes.Run is a desktop app for engineers who don't want a SaaS sitting between them and their data. Build, debug, and run pipelines locally. Bring your own Ollama for AI nodes. Push to our cloud only when production calls for it.
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Every data pipeline tool on the market made the same trade. They built for the cloud first, the developer second, and your laptop never. We thought that was strange — so we did the opposite.
The point of a pipeline is to transform data you care about — customer records, financials, internal documents. Why does every tool want a copy of it on someone else's servers first?
An M-series Mac can run a 7B model and process 100k rows in seconds. Yet you're paying a SaaS $200/mo to do it remotely, slower, with rate limits and cold starts.
Scheduled jobs, webhook triggers, team sharing — those genuinely need the cloud. The 90% of work that's building and iterating doesn't. Pay for what you actually need.
Everything you need to build, test, and run real pipelines — without sending anything to a cloud you don't control.
Drag, connect, configure. Every node shows its schema, sample data, and run time inline.
Any node can be a Python script. Full sandbox, pip install, local stdlib. No DSL to learn.
⌘R runs the pipeline. Edit a node, hit run again. No deploys, no waits, no log tailing.
API keys live in your OS keychain. We don't have a server that could be breached.
Postgres, HTTP, S3, SFTP, Slack, Notion, Airtable, Stripe, Snowflake, Google Sheets, more.
Every run logged with row counts, durations, errors, full payloads. SQLite-backed, all yours.
Pipelines are plain YAML files. Commit them. Diff them. Code-review them. Yours forever.
Built in Tauri. Fast launch, small binary, plays nicely with your battery.
When you're ready, "Deploy to Cloud" sends the YAML to our runners. Same exact pipeline.
Pipes.Run ships with first-class Ollama support. Drop a Local AI node into your pipeline, point at a model on your machine, and process documents, classify text, extract structured data — without an API key, a rate limit, or your data ever touching the open internet.
# Pipeline: read leads, enrich with local Gemma, # write to Postgres. No data leaves the laptop. name: enrich-leads runtime: local # or "cloud" nodes: - id: source type: postgres.query sql: "select * from leads where enriched is null" - id: enrich type: llm.local # 🧠 runs on your machine provider: ollama model: gemma3:4b prompt: "Classify industry and seniority from: {{row.bio}}" schema: industry: string seniority: enum[ic, manager, exec] - id: sink type: postgres.upsert table: leads key: id edges: - source → enrich → sink
The Pipes.Run promise: nothing leaves your laptop until you explicitly tell it to.
Drag, drop, connect, configure. Hit ⌘R. Iterate at the speed of thought.
Save the pipeline YAML to your repo. Diff it, review it, version it like real code.
When you need scheduled runs or webhook triggers, hit Deploy. Our cloud picks up the same YAML.
The desktop app is yours forever, with a one-time fee. The cloud is optional, monthly, and only for what genuinely needs to live on a server.
We're not trying to be all things. We're trying to be the right thing for engineers who'd rather own their tools than rent them.
| Pipes.Run | n8n Cloud | Zapier | Custom Python | |
|---|---|---|---|---|
| Runs on your laptop | ● Yes | ○ No | ○ No | ● Yes |
| Local LLMs (Ollama) | ● Native | ~ DIY | ○ No | ● Yes |
| Visual pipeline builder | ● Yes | ● Yes | ● Yes | ○ No |
| Pay once, own it | ● Yes | ○ Subscription | ○ Subscription | ● Free |
| Cloud deploy (when needed) | ● Optional | ~ Required | ~ Required | ○ DIY |
| Data stays on your machine | ● Default | ○ No | ○ No | ● Yes |
| Time to first pipeline | ~ 5 min | ~ 20 min | ~ 10 min | ~ 2 hours |
If we missed yours, we're at hello@pipes.run and we actually reply.
Pipes.Run is the data pipeline tool we wished existed: built local-first, owned outright, cloud-deployable when it matters. $99, lifetime, 30-day refund.
Buy Pipes.Run · $99 once