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MWM DatallogTurn local Python scripts into secure automations.

Create new automations or organize existing ones. Run integrations, scrapers, and AI scripts with built-in deployment, scheduling, and observability.

Create my first automation
API Documentation
Create account
automations/hello/hello.py
from datallog import automation

@automation()
def hello(seed):
    name = (seed or {}).get("name", "world")
    return {"message": f"Hello, {name}!"}
$ datallog push
$ curl -X POST \
    $API/start-automation/my-project/hello \
    -H "Authorization: Token …" \
    -H "x-api-key: …"
# API=https://api-mwm.datallog.com/api

Zero Ops

You write the logic, we manage the runtime and infrastructure. No YAML, no headaches.

Tables in code

Declare the table next to the automation and write to it with no database to administer. The push creates what is missing.

Portals

A page of yours, with its own address, where the team sees the result and runs the automation without entering the platform.

Automated Containers

Seamless transition from local to cloud. We build and manage the Docker containers for you.

Answers right away

A short automation can return its result in the call itself, instead of only confirming the request.

Predictable Pricing

Pre-paid model. Infinite scale with finite budget control. No bill shocks.

Simple as Python. Powerful as Cloud.

Write a standard function, decorate it, and push.

1. Example: from local script to automation ​

A simple example showing how a local Python script becomes an automation.

python
from datallog import automation

# Entry point: receives the input data
@automation()
def process_data(seed):
    items = seed.get("items", [])
    results = []
    # Process items
    for item in items:
        results.append(heavy_computation(item))
    return {"status": "done", "results": results}

2. Example: lead enrichment and qualification automation ​

A single automation to collect, qualify, and send leads to the sales team.

python
from datallog import automation

# A single automation to collect, qualify, and send leads
@automation()
def process_leads(seed):
    leads = get_data_leads(seed)
    
    for lead in leads:
        enrichment = enrich_company_data(lead["email"])
        score = calculate_score(enrichment)
        
        send_email(
            to="sales@company.com",
            subject="New qualified lead",
            body=f"{lead['email']} — score {score}"
        )
        
    return {"status": "done"}