Cybersecurity · head to head
authentik vs ClearML

authentik
Cybersecurity
Open-source identity provider with flexible authentication flows
- From
- Free
- Rated
- -

ClearML
Machine Learning
Open-source MLOps platform for experiment tracking and orchestration
- From
- Free
- Rated
- -
The short version
- Each has a real cost: authentik smaller project than Keycloak, with a correspondingly smaller community and fewer integration guides; ClearML broad scope means more to learn and more to run than a focused tracking tool
- They diverge on capability: authentik covers Configurable flows, ClearML covers Experiment tracking.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which authentik and ClearML actually diverge.
| Attribute | authentik | ClearML |
|---|---|---|
| Pricing model | Open-source core with a paid enterprise tier | Open-source self-hosted, with paid hosted and enterprise tiers |
| Platforms | Docker, Kubernetes, Linux, Self-hosted | Linux, macOS, Windows, Docker, Kubernetes |
| Category | Cybersecurity | Machine Learning |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in authentik
- Configurable flows
- Protocol support
- Application proxy
- Modern admin interface
Only in ClearML
- Experiment tracking
- Remote execution
- Data versioning
- Pipelines
What people use each for
The jobs each tool is most often brought in to do.
authentik
- Self-hosted SSO across internal services without commercial identity pricingnot ClearML
- Putting authentication in front of applications that have none, via the proxynot ClearML
- Teams who tried Keycloak and wanted something less heavynot ClearML
ClearML
- Tracking experiments across a team so results are reproduciblenot authentik
- Moving training from laptops to shared GPU hardware without repackagingnot authentik
- Versioning datasets alongside the experiments that consumed themnot authentik
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
authentik
- Smaller project than Keycloak, with a correspondingly smaller community and fewer integration guides
- The flow model is flexible but conceptually unfamiliar, and simple setups can feel over-abstracted
- Enterprise support and some governance features sit behind the paid tier
- Self-hosted identity is still yours to secure, patch and keep available
ClearML
- Broad scope means more to learn and more to run than a focused tracking tool
- Self-hosting the server is real infrastructure — database, file storage and web server
- Documentation quality is uneven across the newer parts of the platform
- Smaller community than the most popular tracking tools, so fewer worked examples exist
Pricing, plan by plan
authentik
Free- Open sourceFree
- Full identity provider
- All protocols
- Community support
ClearML
Free- Open sourceFree
- Experiment tracking
- Pipelines
- Self-hosted server
Which should you pick?
Choose authentik if
- You need configurable flows.
- You want to start without paying.
- You work on Docker, Kubernetes, Linux, Self-hosted.
- You also want protocol support.
Choose ClearML if
- You need experiment tracking.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes.
- You also want remote execution.
Questions people ask
- Is authentik or ClearML better?
- Neither clearly leads. authentik starts at Free and ClearML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, authentik or ClearML?
- authentik starts at Free and ClearML at Free.
- Does authentik or ClearML run on more platforms?
- authentik runs on Docker, Kubernetes, Linux, Self-hosted. ClearML runs on Linux, macOS, Windows, Docker, Kubernetes.
- Can I use authentik for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is authentik best used for?
- authentik is most often used for self-hosted sso across internal services without commercial identity pricing, putting authentication in front of applications that have none, via the proxy, teams who tried keycloak and wanted something less heavy. Of those, self-hosted sso across internal services without commercial identity pricing and putting authentication in front of applications that have none, via the proxy are not what ClearML is typically brought in for.
- What can authentik do that ClearML cannot?
- authentik covers Configurable flows, Protocol support, Application proxy, Modern admin interface. ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines.
Answered from the vendors’ own pages
authentik: Is authentik free?
The open-source edition is free and complete for most use. An enterprise tier adds support and additional features.
ClearML: Is ClearML free?
The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.
authentik: authentik or Keycloak?
authentik is generally reported as easier to run and administer; Keycloak is more established with a larger community and Red Hat behind it.
ClearML: How much code does tracking require?
Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.
authentik: Can authentik protect apps with no login of their own?
Yes. Its application proxy places authentication in front of services that have no built-in authentication.
ClearML: Does ClearML replace MLflow?
It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.
Related pages
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- ClearML vs Passbolt
- ClearML vs Clerk
- ClearML vs 1Password
- ClearML vs Frontegg
- ClearML vs OWASP ZAP
- ClearML vs Infisical
- ClearML vs Chainguard
- ClearML vs Bitwarden
- ClearML vs Cosign
- ClearML vs CyberGhost VPN
- ClearML vs Dahua Technology
- ClearML vs Descope
- ClearML vs Drata
- ClearML vs DTiQ
- ClearML vs Ory Kratos
- ClearML vs MLflow
- ClearML vs Weights & Biases
- ClearML vs Comet ML
- ClearML vs Neptune.ai
- ClearML vs Dataiku
- ClearML vs Pachyderm
- ClearML vs Azure Machine Learning
- ClearML vs Domino Data Lab
- ClearML vs DVC
- ClearML vs AWS SageMaker
- ClearML vs Google Vertex AI
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- ClearML vs Pinecone
- ClearML vs Python
- ClearML vs PyTorch
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