Technology · head to head
Plane vs Seldon

Seldon
Machine Learning
Kubernetes model serving whose current version is licensed under the Business Source Licence
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Plane self-hosted Community edition requires managing your own Docker/Kubernetes infra plus your own PostgreSQL, Redis, and S3-compatible/GCS/MinIO storage; no single-binary install; Seldon seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
- They diverge on capability: Plane covers Issue tracking, Seldon covers Kubernetes custom resources.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Plane and Seldon actually diverge.
Identical on both: starting price (Free), pricing model (freemium), 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 Plane
- Issue tracking
- Cycles (Sprints)
- Modules
- Views & layouts
- Pages (Docs)
- Analytics
- API access
- Webhooks
Only in Seldon
- Kubernetes custom resources
- Inference graphs
- Traffic strategies
- Open Inference Protocol
- Alibi Explain
- Alibi Detect
- Kafka-backed pipelines in v2
- Commercial control plane
What people use each for
The jobs each tool is most often brought in to do.
Plane
- Project and task management with cycles, modules, epics, and initiativesnot Seldon
- Documentation and knowledge management via workspace wiki tied to project worknot Seldon
- Sprint planning and issue triagenot Seldon
- Cross-functional collaboration with analytics and dashboardsnot Seldon
- Migration target from Jira, Linear, Monday, ClickUp, or Asananot Seldon
Seldon
- Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Plane
- Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Plane
- Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Plane
- Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Plane
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Plane
- Self-hosted Community edition requires managing your own Docker/Kubernetes infra plus your own PostgreSQL, Redis, and S3-compatible/GCS/MinIO storage; no single-binary install
- Cloud Free tier caps at 12 users and 500 AI credits per seat per month
- Substantial feature gating by tier: custom work item types, workspace wiki, time tracking, dashboards, initiatives, teamspaces, and integrations require Pro or above; LDAP, granular access control, and multi-workflow approvals require Enterprise Grid
- Guest-to-paid-member ratio capped at 1:5 on the Pro plan
Seldon
- Seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
- Core v1 remains Apache 2.0 but is in maintenance, so taking the free route means running software that receives no new development while the architecture it belongs to moves on without it.
- Version 2 is a different system rather than a newer release, with different custom resources, a scheduler component and a Kafka-based pipeline model, so migrating from v1 is a re-implementation of every deployment manifest rather than an upgrade.
- Kafka is a dependency for v2 pipelines, so an organisation that does not already operate it takes on a distributed log with its own storage, retention, rebalancing and failure modes purely in order to serve models.
- Everything assumes Kubernetes fluency and the failure modes are Kubernetes failure modes, custom resource version mismatches, an operator that will not reconcile, admission webhooks and resource limits terminating an inference pod mid-request, so it needs a platform engineer rather than a data scientist.
Pricing, plan by plan
Plane
Free- FreeFree
- 500 AI credits per seat
- Max 12 users
- Unlimited projects
- Pro$6/seat per month
- 1,000 AI credits per seat
- Unlimited users
- Custom work item types
- Business$13/seat per month
- 2,000 AI credits per seat
- Unlimited users
- Project templates, recurring work items
- Enterprise Grid$null/mo
- Flexible AI credit allocation
- Private deployments
- Granular access control
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
Which should you pick?
Choose Plane if
- You need issue tracking.
- You want to start without paying.
- You work on Web, iOS, Android, macOS, Windows.
- You also want cycles (sprints).
Choose Seldon if
- You need kubernetes custom resources.
- You want to start without paying.
- You work on Linux.
- You also want inference graphs.
Questions people ask
- Is Plane or Seldon better?
- Neither clearly leads. Plane starts at Free and Seldon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Plane or Seldon?
- Plane starts at Free and Seldon at Free.
- Does Plane or Seldon run on more platforms?
- Plane runs on Web, iOS, Android, macOS, Windows. Seldon runs on Linux.
- Can I use Plane for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Plane best used for?
- Plane is most often used for project and task management with cycles, modules, epics, and initiatives, documentation and knowledge management via workspace wiki tied to project work, sprint planning and issue triage, cross-functional collaboration with analytics and dashboards. Of those, project and task management with cycles, modules, epics, and initiatives and documentation and knowledge management via workspace wiki tied to project work are not what Seldon is typically brought in for.
- What can Plane do that Seldon cannot?
- Plane covers Issue tracking, Cycles (Sprints), Modules, Views & layouts. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.
Answered from the vendors’ own pages
Plane: Does Plane offer a free plan?
Yes, Plane's free tier includes 500 AI credits per seat, support for up to 12 users, and access to projects, work items, cycles, modules, layouts, views, estimates, and pages.
SourceSeldon: Is Seldon open source?
Partly, and this is the thing to check before you build on it. Core v1 is Apache 2.0 but in maintenance. Core v2 was moved to the Business Source Licence in 2024, which allows evaluation but not unlicensed production use. Verify the current licence of each component you intend to run, including MLServer and the Alibi libraries.
Plane: How much does Plane Pro cost?
Plane Pro costs $6/seat per month and saves 25% when billed annually. It includes 1,000 AI credits per seat, unlimited users, and access to custom work item types, wiki, time tracking, and integrations.
SourceSeldon: What is the difference between v1 and v2?
Architecture, not just version number. v2 introduces a scheduler, a different set of custom resources and Kafka-backed pipelines. Manifests, mental model and operations all change, so treat a move as a project.
Plane: What is the difference between Plane's paid tiers?
Pro ($6/seat/month) includes 1,000 AI credits and workspace wiki. Business ($13/seat/month) adds 2,000 AI credits, project templates, and recurring work items. Enterprise Grid offers custom pricing with multiple workflows and LDAP support.
SourceSeldon: Do I need Kubernetes?
Yes. It is a Kubernetes-native system and there is no meaningful deployment without a cluster and someone competent to run it.
Seldon: What is MLServer?
Seldon's Python inference server implementing the Open Inference Protocol, usable inside Seldon deployments or on its own. Check its current licence alongside Core's, since the company has moved projects onto the Business Source Licence.
Seldon: Do I have to run Kafka?
For v2 pipelines, yes. If you only need single models served, that dependency is a large amount of infrastructure for the benefit, and a simpler serving layer may be the better answer.
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- Seldon vs Linear
- Seldon vs Asana
- Seldon vs ClickUp
- Seldon vs Figma
- Seldon vs Kubernetes
- Seldon vs PostHog
- Seldon vs Jira
- Seldon vs GitHub
- Seldon vs Eclipse
- Seldon vs Shortcut
- Seldon vs Storybook
- Seldon vs Mozilla Firefox
- Seldon vs StatusCake
- Seldon vs WebStorm
- Seldon vs Zabbix Cloud
- Seldon vs Intercom
- Seldon vs LaunchDarkly
- Seldon vs AWS SageMaker
- Seldon vs DataRobot
- Seldon vs Azure Machine Learning
- Seldon vs Google Vertex AI
- Seldon vs BentoML
- Seldon vs Kubeflow
- Seldon vs Pachyderm
- Seldon vs MLflow
- Seldon vs DVC
- Seldon vs Weights & Biases
- Seldon vs Comet ML
- Seldon vs Dataiku
- Seldon vs Anaconda
- Seldon vs Domino Data Lab
- Seldon vs H2O.ai
- Seldon vs Hugging Face

