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Python job scheduling platform

Python scheduler
for API integrations

Schedule any Python service, see every execution in real time, and manage everything from a built-in dashboard or YAML. Open source, cloud or on-premises, always under your control.

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Full
Job control and visibility
100%
Open source
100%
In Python
Zato scheduler dashboard showing interval jobs, execution history, and next fire times
sync_users.py
# Import Zato ..
from zato.server.service import Service

class SyncUsers(Service):
    """ Synchronizes users between two CRMs.
    """

    def handle(self):

        # Get current users ..
        response = self.rest.get('https://crm.internal/users')
        users = response.json()

        # .. and sync each one.
        for user in users:
            self.rest.post('https://crm2.corp/', data=user)
Zato scheduler job detail with run history and log entries
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Automate, integrate, and observe - from one platform.

Zato is an open-source Python platform that combines job scheduling, a web dashboard, connectors to dozens of enterprise systems, and infrastructure-as-code deployment in a single installation.

The platform

One platform instead of four

Run any Python code on a schedule

Your code calls REST APIs, databases, queues, SAP, Salesforce, or anything else Zato connects to. The scheduler runs it. No cron. No glue scripts. No external dependencies.

Job creation form showing a service attached to an interval job

See what is happening

Live dashboard shows what is running right now, what already finished, and what comes next. Outcomes, durations, errors, drill-down per run. No separate monitoring stack, no extra setup.

Scheduler dashboard showing job execution history and outcomes

Deploy everything as code

Jobs, connections, and services export to YAML. Version in Git, diff in PRs, promote across environments.

scheduler.yaml
scheduler:
  - name: api.sync-users.job
    service: api.sync-users
    job_type: interval_based
    minutes: 15
    is_active: true

Manage from the dashboard or YAML

Create and edit jobs in the web dashboard or define them in YAML files. Same result, two paths, pick what fits your workflow.

Scheduler dashboard with job list and controls
Integrations

Your jobs can reach everything

Built-in connectors for everything

RESTSOAPSQLAMQPIBM MQRedisMongoDBKafkaLDAPSAPOdooSalesforceJiraConfluenceMicrosoft 365SMTPIMAPFTPHL7FHIRCachingPublish/subscribe
The difference

Platform vs. assembly required

Scheduler run detail with logs and execution data

Visibility

Without a platform

Grep logs, build dashboards, set up alerting separately.

With Zato

Built-in dashboard with execution history, outcomes, and drill-down per run.

Deployment

Without a platform

Manage cron entries, sync config by hand, write deploy scripts.

With Zato

One YAML file. Import, export, version-control across environments.

Connections

Without a platform

Install client libraries per system, manage credentials in code.

With Zato

Built-in connectors to REST, SQL, AMQP, Redis, LDAP, SAP, and more. Configure once, reuse everywhere.

FAQ

Frequently asked questions

An open-source Python platform for integrating and automating systems. It includes a scheduler, a web dashboard, connectors to dozens of technologies, and deployment tooling - all in one.

Most platforms make you assemble scheduling, connections, and monitoring from separate pieces. Zato ships all of that as one installation - scheduler, dashboard, and built-in connectors to enterprise systems.

A Zato service is a Python class with a handle() method. If you write Python, you already know enough.

Yes. Define them in YAML and version control alongside your code.

One second. Unlike some schedulers that limit you to 60-second intervals, Zato can run jobs every second.

100% open source. Cloud, on-premises, or hybrid - runs everywhere, always under your control.

Ready to schedule your first job?

Get started with Zato and have your services running on a schedule in minutes.

Get started ▶Read the docs
Open Source In Python GUI, API, and CLI