Added Oct 28, 2026
ZenML
Freemium · $39/moOpen-source orchestration for ML pipelines and AI agents
What is ZenML?
ZenML lets teams write machine learning pipelines and AI agents in Python and run them on whatever orchestrator and cloud they already use. Its sister tool Kitaru replays real production agent sessions against a change, showing what improved, what regressed and what it costs before shipping.
Pipelines move from a laptop to Kubernetes or another stack without rewrites, and the managed Pro tier adds a hosted control plane for models and artifacts, audit logs and air-gapped deployment. Customer stories include JetBrains centralizing its ML work on Kubernetes with ZenML.
Kitaru imports the sessions your agent has actually run, groups repeated patterns and turns them into a test set for evaluators and experiments. Both ZenML and Kitaru are Apache 2.0 open source and can be self-hosted, and the company states SOC 2 Type II and ISO 27001 compliance.
Features
- Python pipeline orchestration
- Runs on your own infrastructure
- Agent session replay with Kitaru
- Evaluators and experiment runs
- Model and artifact control planes
- Self-hosted open source
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Releases
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Organization
ZenML
🇩🇪 Germany
Listed by kitio.ai · unverified owner
Pricing
- Pricing model
- Freemium
- Paid options from
- $39/mo
- Billing frequency
- Monthly
ZenML plans
Open Source
Free
- Self-hosted
- Evaluators and experiment runs
- Community support
Kitaru Cloud
$39/mo
- 3 agents and 2 seats
- 90-day session retention
- Hosted dashboard
- 14-day full-access trial
Scale
$999/mo
- 2,000 executions per month
- 3 projects
- Model and artifact control planes
- Audit logs
Enterprise
Custom
- Air-gapped deployment
- Custom limits
Prices in USD, checked Oct 29, 2026. Plans change often, so confirm on the ZenML site.Official pricing
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Pros and cons
Pros
- Apache 2.0 open source core
- Works with existing orchestrators and clouds
- Replays real sessions to test agent changes
- Flat $39 plan for Kitaru Cloud
Cons
- Scale plan starts at $999 a month
- Requires Python engineering skills
- Self-hosting means running it yourself
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Q&A
What is ZenML?
ZenML lets teams write machine learning pipelines and AI agents in Python and run them on whatever orchestrator and cloud they already use. Its sister tool Kitaru replays real production agent sessions against a change, showing what improved, what regressed and what it costs before shipping.
Can I self-host ZenML?
Yes. ZenML and Kitaru are Apache 2.0 open source, so you can run them on your own infrastructure and keep your data there.
What does Kitaru add to ZenML?
Kitaru records and replays agent sessions from production, so you can test a change against real traffic and compare quality and cost before release.
How much does ZenML cost?
ZenML is freemium, with paid plans from $39/mo.
Is there a free version of ZenML?
Yes. ZenML has a free plan, and paid plans add more usage and features.
What are the main features of ZenML?
Python pipeline orchestration, Runs on your own infrastructure, Agent session replay with Kitaru, Evaluators and experiment runs, Model and artifact control planes, Self-hosted open source.
Who makes ZenML?
ZenML is made by ZenML.
What are the best alternatives to ZenML?
Popular alternatives include LangSmith, Metaflow, MLflow.