{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/12"}],"enrichment":{"capability":"Python SDK for the TwelveLabs video understanding platform, providing methods to create indexes, upload videos, and perform search and analysis tasks on video content.","skillfed_tags":["video-understanding","api-client","multimodal-search"],"use_cases":["Build a video search engine that finds clips matching natural language queries across a library of indexed videos.","Automate video ingestion and indexing workflows by uploading files and monitoring processing status programmatically.","Generate text summaries or descriptions of video content by indexing with the Pegasus model and calling analysis endpoints.","Integrate video understanding into a larger application (e.g., a content management or discovery platform) without writing raw HTTP calls.","Search video archives by visual content (objects, scenes) or audio (spoken words, sounds) using multimodal queries."],"what_it_does":"The TwelveLabs SDK is a Python client library that wraps the TwelveLabs video understanding platform's HTTP API, reducing boilerplate code for common workflows. It provides object-oriented interfaces for creating video indexes, uploading video assets (from URLs or local files), monitoring processing status, and querying videos using natural language text or image-based search across visual and audio modalities.\n\nThe SDK is built on httpx for HTTP communication and pydantic for data validation, supporting Python 3.8 through 3.12. Typical workflows involve creating an index configured with specific AI models (such as Marengo for search or Pegasus for text generation), uploading videos, waiting for indexing to complete asynchronously, and then performing downstream tasks like semantic video search or content analysis. The platform handles video understanding internally; the SDK's role is to orchestrate these operations and parse results.","worth_installing":"Yes, if you are building on the TwelveLabs platform and want to avoid writing raw HTTP boilerplate. The SDK is actively maintained, has low install friction, and supports current Python versions. However, verify the license terms first\u2014they are not declared in the package metadata. Also confirm that the free tier API key and rate limits suit your use case, as the SDK is a client library and all video processing happens on TwelveLabs' servers."},"id":"twelvelabs","links":{"html":"https://skillfed.io/packages/twelvelabs","md":"https://skillfed.io/packages/twelvelabs.md","pypi":"https://pypi.org/project/twelvelabs/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-23","license_spdx":null,"license_treatment":"unclear","name":"twelvelabs","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":380289,"position":7104,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.3.1"}