aid: activeloop
url: https://raw.githubusercontent.com/api-evangelist/activeloop/refs/heads/main/apis.yml
name: Activeloop
kind: company
description: Activeloop builds Deep Lake, a database for AI that stores multimodal
  datasets (text, images, video, audio, embeddings) in a deep-learning-optimized
  format. The primary interface is the open-source Deep Lake Python SDK paired with
  the Tensor Query Language (TQL); datasets live locally, in your own cloud (S3,
  Azure, GCP), or in the managed Activeloop Cloud (app.activeloop.ai), which also
  exposes an alpha Managed Database REST query endpoint.
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- AI
- Vector Store
- Data Lake
- Multimodal
- Deep Learning
- Python SDK
created: '2026-06-20'
modified: '2026-06-20'
specificationVersion: '0.19'
apis:
- aid: activeloop:deep-lake-python-sdk
  name: Deep Lake SDK (Python)
  tags:
  - Python SDK
  - Datasets
  - Multimodal
  - Data Versioning
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.deeplake.ai/
  baseURL: ''
  properties:
  - url: https://docs.deeplake.ai/
    type: Documentation
  - url: https://docs-v3.activeloop.ai/
    type: APIReference
  - url: openapi/activeloop-openapi.yml
    type: OpenAPI
  - url: https://github.com/activeloopai/deeplake
    type: GitHub
  description: The open-source `deeplake` Python package (Apache-2.0) is the primary
    interface to Deep Lake. It creates, reads, writes, versions, and streams
    multimodal datasets and embeddings in the Deep Lake format against local, S3,
    Azure, GCP, or Activeloop-cloud storage, with NumPy-like indexing and PyTorch /
    TensorFlow dataloaders. This is an SDK / library interface, not a REST API.
- aid: activeloop:tensor-query-language
  name: Tensor Query Language (TQL)
  tags:
  - TQL
  - Query Engine
  - Search
  - Filtering
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs-v3.activeloop.ai/examples/tql
  baseURL: ''
  properties:
  - url: https://docs-v3.activeloop.ai/examples/tql
    type: Documentation
  - url: openapi/activeloop-openapi.yml
    type: OpenAPI
  - url: https://github.com/activeloopai/deeplake
    type: GitHub
  description: A high-performance, SQL-like query engine (implemented in C++ inside
    Deep Lake) for filtering datasets and running hybrid embedding-plus-attribute
    search. TQL queries are executed through the SDK via `ds.query(<query_string>)`
    or `vector_store.search(query=<query_string>)`, and require an authenticated
    Activeloop account (not available on purely local datasets). This is a query
    language surfaced through the SDK, not a standalone REST API.
- aid: activeloop:vector-store
  name: Deep Lake Vector Store
  tags:
  - Vector Store
  - Embeddings
  - RAG
  - Similarity Search
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs-v3.activeloop.ai/examples/rag/tutorials/vector-store-basics
  baseURL: ''
  properties:
  - url: https://docs-v3.activeloop.ai/examples/rag/tutorials/vector-store-basics
    type: Documentation
  - url: openapi/activeloop-openapi.yml
    type: OpenAPI
  - url: https://github.com/activeloopai/deeplake
    type: GitHub
  description: A multimodal vector store, exposed through the Deep Lake Python SDK
    (`VectorStore`), that stores embeddings with their metadata and supports
    similarity and hybrid (TQL) search. Integrates with LangChain and LlamaIndex as
    a vector store for LLM / RAG applications. Accessed via the SDK, not a broad
    REST API.
- aid: activeloop:managed-database-rest-api
  name: Activeloop Managed Database REST API
  tags:
  - REST
  - Managed Database
  - Query
  - Alpha
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs-v3.activeloop.ai/examples/rag/tutorials/vector-search-options/rest-api
  baseURL: https://app.activeloop.ai/api/query/v1
  properties:
  - url: https://docs-v3.activeloop.ai/examples/rag/tutorials/vector-search-options/rest-api
    type: Documentation
  - url: openapi/activeloop-openapi.yml
    type: OpenAPI
  description: An alpha REST endpoint for the Managed Tensor Database that accepts a
    TQL query string over HTTP POST and returns query results. Requires a Bearer
    `ACTIVELOOP_TOKEN` and a dataset hosted in the managed database
    (created with `tensor_db=True`). Documented as Alpha; syntax may change without notice. This
    is the only documented REST surface - the primary interface to Deep Lake
    remains the Python SDK plus TQL.
common:
- type: GitHubOrganization
  url: https://github.com/activeloopai
- type: LinkedIn
  url: https://www.linkedin.com/company/activeloop
- type: Website
  url: https://www.activeloop.ai
- type: Documentation
  url: https://docs.deeplake.ai/
- type: Plans
  url: plans/activeloop-plans-pricing.yml
- type: RateLimits
  url: rate-limits/activeloop-rate-limits.yml
- type: FinOps
  url: finops/activeloop-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com