Label Studio
ML platformlabel-studio
Open-source data labelling server for text, image, audio, video and time series.
- Provider
- default
- Kind
- ML platform
- Category
- Compute
- Official docs
- https://labelstud.io/guide/install
- Also known as
- HumanSignal, Label Studio Enterprise
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| computeInstances | integer | — | no | — | inherited |
| database | enum | sqlite | postgresql | no | sqlite | inherited |
| edition | enum | community | enterprise | no | community | inherited |
| experimentTracking | boolean | — | no | true | ▸ false |
| gpuEnabled | boolean | — | no | — | inherited |
| managed | boolean | — | no | false | ▸ false |
| modelRegistry | boolean | — | no | true | ▸ false |
| port | integer | — | no | 8080 | inherited |
| publicAccess | boolean | — | no | — | inherited |
| storage | enum | local | s3 | gcs | azure-blob | databricks | redis | no | local | inherited |
Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.
stateful-node-without-zone-redundancy
A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.
- — all of these hold:
- — the node's `stateless` is false
- — the node sits inside exactly 1 availability-zone group
- — this does not hold:
- — the node sits inside at least one cell group
nodes:
- { id: "label-studio", component: "label-studio" }Platform for AIalibaba-paiAWS Clean Rooms MLaws-clean-rooms-mlAmazon SageMaker AIaws-sagemakerAmazon SageMaker Canvasaws-sagemaker-canvasAmazon SageMaker Feature Storeaws-sagemaker-feature-storeManaged MLflow on Amazon SageMaker AIaws-sagemaker-mlflowAmazon SageMaker Unified Studioaws-sagemaker-unified-studioMicrosoft Foundryazure-ai-foundryAzure Machine Learningazure-machine-learningAbacus.AIabacus-aiAlteryxalteryxArgillaargillaC3 AI Platformc3-aiClearMLclearmlCometcomet-mlCVATcvatDataikudataikuDataRobotdatarobotDatasaurdatasaurDetermined AIdeterminedDomino Data Labdomino-data-labDVCdvcEncordencordFeastfeastFlyteflyteH2O.aih2oKilikiliKNIMEknimeKubeflowkubeflowLabelboxlabelboxMetaflowmetaflowGeneric ML platformml-platformMLflowmlflowneptune.aineptune-aiNVIDIA DGX Cloudnvidia-dgx-cloudPachydermpachydermPolyaxonpolyaxonProdigyprodigyRapidMiner AI HubrapidminerRoboflowroboflow
and 21 more → ML platform page# yaml-language-server: $schema=../../schema/component.schema.json # Label Studio: HumanSignal's open-source data labelling server for text, image, audio, video and time series. # Per "Install and upgrade Label Studio", the server listens on port 8080 and runs on SQLite (3.35+) or PostgreSQL (14+); # SQLite is the out-of-the-box store and Docker Compose switches to PostgreSQL. Source and target storage can be # local files, Amazon S3, Google Cloud Storage, Azure Blob, Databricks or Redis. Label Studio Enterprise is the paid edition. schemaVersion: "1" type: "component" id: "label-studio" kind: "ml-platform" provider: "default" docs: "https://labelstud.io/guide/install" aliases: ["HumanSignal", "Label Studio Enterprise"] defaults: managed: false experimentTracking: false modelRegistry: false properties: edition: type: "enum" values: ["community", "enterprise"] default: "community" port: type: "integer" default: 8080 database: type: "enum" values: ["sqlite", "postgresql"] default: "sqlite" storage: type: "enum" values: ["local", "s3", "gcs", "azure-blob", "databricks", "redis"] default: "local"