The Zapier alternative, written in Python.
Zapier connects two apps in ten minutes. Once an automation grows branches, loops and judgment calls, a Task is a program instead of a step list.
invoices = aisle.integrations.xero.list_invoices(status="AUTHORISED") for invoice in invoices: match = aisle.ai.run_prompt( slug="match-invoices", variables={"invoice": invoice}, ) if match["confidence"] < 0.8: aisle.integrations.slack.create_message("#finance", text=match["note"])
Model and provider agnostic.
Anthropic
OpenAI
Gemini
xAI
OpenRouter
Amazon
Perplexity
MoonshotAI
Meta
Qwen
Aisle vs Zapier
Zapier has the largest catalogue in the category and the best cold start in it. These rows are about what happens after an automation stops being simple.
| Feature | Aisle | Zapier |
|---|---|---|
| What you build | A Python program | A Zap: a trigger and ordered steps |
| Billable unit | The run, plus the model calls your code makes | The task, and every step counts |
| Adding a step | Costs nothing | Costs more per run |
| Branching and looping | Language features | Paths and looping steps, each billed |
| Large batches | concurrency and max_per_minute are arguments | Awkward past modest volumes |
| Long runs | Up to 12 hours | Short step timeouts |
| Change history | A revision on every save, with a line-level diff | Zap version history |
| Tests | A tests.py rides with the task, in the same revision | Not included |
| Model output | An output schema constrains the model to your JSON | Not constrained |
| Prompts | Versioned in a prompt platform, called by slug | Prompt text sits in the step |
| Retrying a partial run | Checkpoints skip the items that finished | Replay the run |
| Shared team credentials | Yes, brokered server-side, shared with chat | Yes, spanning Zaps and Chatbots |
| Run surface for non-developers | Typed inputs render a form | Interfaces and Forms |
| Building without code | The builder drafts the task as code you edit | Copilot builds a Zap |
| Integrations | 45+ integrations, 390+ operations, plus raw HTTP | Thousands of apps |
| Time to a first automation | Minutes, if you write Python | Minutes, for anyone |
It’s code.
Loops, branches, and functions, + models where needed. Your code owns the orchestration: what runs, in what order, and when. Reviewable, versioned, and diffable, so a team maintains and improves it like any software.
Logic that outgrew a step list
Paths inside paths are hard to follow and harder to change safely. The same logic in Python is a few conditionals you read in one screen and review as a diff before it ships.
for invoice in invoices: if invoice["total"] > 10_000: route = "manual-review" elif match["confidence"] > 0.9: route = "auto-post" else: route = "queue"
Predictable token spend
A prompt is only used when you call it, so you decide when to spend tokens. A task is one run whether it executes ten lines or ten thousand, and cached lookups and checkpoints stop a retry paying twice.
rate = aisle.cache.get_or_set("fx-rate", fetch_rate, ttl="6h") result = aisle.parallel( reconcile, invoices, concurrency=8, checkpoint="march-close", )
A test harness
A tests.py rides with the task, versioned in the same revision as the code. Assert the whole flow end to end, and run it from the editor to catch a break before it ships. Tests run in a sandbox, so an unmocked integration or model call raises instead of reaching a live Slack channel.
def test_low_confidence_goes_to_queue(): out = reconcile(FIXTURE) assert out["route"] == "queue"
Moving a Zap across.
Most teams should not move everything. Zapier is good at the simple connections, so move the automations that got expensive or fragile and leave the rest.
- Pick the Zap with the most steps or the highest monthly task count.
- Describe it to the builder and it drafts the task as code your developer edits.
- Connect the accounts once at the org level, rather than per step.
- Run both in parallel, then move the trigger over.
Where Zapier fits better.
Zapier earned its position, and there are cases where nothing here improves on it.
- You need an app from the long tail of thousands, with no usable public API.
- Nobody on the team writes code.
- The automation is genuinely two steps and will stay that way.
- Non-technical colleagues need to build their own automations, not run yours.
Questions
Is Aisle cheaper than Zapier?
It depends on shape, not volume alone. Zapier bills per task, so a ten-step run costs ten times a one-step run. A task is a single run however many lines it executes, which is why the gap widens as automations get more complex rather than just more frequent.
Can Aisle replace Zapier completely?
For most teams it should not. Zapier is very good at simple two-app connections and its catalogue is far larger. The automations worth moving are the ones that grew branches, process batches, or call models.
What is the best Zapier alternative for developers?
It depends what you want to own. For a canvas you can self-host, n8n or Activepieces. For durable execution as a library inside your own application, Temporal, Inngest or Trigger.dev. Aisle fits when you want the automation to be code but do not want to run the infrastructure under it.
Do non-technical teammates lose access if we move off Zapier?
No. A task declares typed inputs and those render as a form, so a colleague runs it with their own parameters and never sees the code. Results can land in Slack or as a chat they ask follow-up questions in.
Is there a free plan?
Starter and Pro both begin with a 14-day free trial.
Competitor details reviewed . Vendors change plans and features without notice, so check theirs before deciding.
More comparisons
Ship your first task.
Open the editor, write a script against your connected accounts, and put it on a trigger. Or describe it, and the builder drafts the task as code you edit.