Infrastructure | Label Studio

Infrastructure Integrations

Docker
Container installation of Label Studio
Kubernetes
Infrastructure to deploy and scale Label Studio
Terraform
Automated installation

The modular design of Label Studio allows it to be easily integrated into industry-standard integration frameworks. The Label Studio community distributes official packages through PyPi and Docker Hub and provides enterprise-ready installation solutions that include Kubernetes Helm Charts and Terraform deployment scripts.

Infrastructure Integrations

results for integrations with “ ”

Docker
Container installation of Label Studio
Kubernetes
Infrastructure to deploy and scale Label Studio
Terraform
Automated installation

Do you have an idea for a new integration?

Learn how to build an integration

or reach out to community@labelstud.io .

Other Integrations

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Amazon SageMaker
Integrate Label Studio with AWS SageMaker
Baal
Library to enable Bayesian active learning
EasyOCR
Optical Character Recognition (OCR) engine
Galileo
Uncover data issues and errors
Hugging Face
Label Studio in Hugging Face Spaces
LangChain
Evaluate LLM Output Quality
Lightly.ai
Active learning for data management
OpenMMLab
Bounding box image labeling
PyTorch
Open source machine learning framework
Scikit Learn
Machine learning toolkit
TensorFlow
Open source deep learning framework
Unstructured.io
Unstructured data ingestion and preprocessing
Watsonx
A suite of foundation models for natural language and multimodal AI tasks
ZenML
Extensible MLOps framework
spaCy
Open-source software library for advanced natural language processing
Flair
Named entity recognition
Grounding DINO
Text-Driven Object Detection Model
Nvidia NeMo
Automated audio transcription
Segment Anything Model
Image Segmentation Model
Tesseract
Automated bounding box OCR
Ultralytics YOLO
Computer vision models
Azure Blob Storage
Azure cloud storage for data labeling
Google Cloud Storage
Google cloud storage for data labeling
Pachyderm
Automated versioning for data labeling
Redis
High-speed cache for annotation data
S3
AWS cloud storage for data labeling
Azure Blob with Managed Identity
Secure, flexible authentication for Azure.
Databricks
Unify your data and AI
GCS with Workload Identity Federation
Keyless, short-lived access to storage
S3 with IAM roles
A secure way to move data in and out of projects
Anthropic
Building safe, reliable, and steerable artificial intelligence
Azure OpenAI
Cohere
Foundational models and AI solutions
Gemini
A family of advanced AI models that power a suite of AI features across Google products.
Mistral AI
High-performance open-weight language models.
OpenAI
Provides powerful language and vision models through hosted APIs.
Vertex AI
Enterprise ready, fully-managed, unified AI development platform
PostgreSQL
Advanced relational storage for data annotations
SQLite
Default embedded database in Label Studio