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Roboflow Python

Roboflow Python is Roboflow’s official Python package for interacting with projects, datasets and models hosted on the Roboflow platform. It provides programmatic project and dataset management, hosted model training, model-weight deployment and inference, plus a CLI for some operations.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Roboflow Python — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use the package when a computer-vision workflow needs programmatic or command-line access to Roboflow projects, datasets, models or hosted inference. Its search-export function is a specific option for turning matching workspace images into a dataset.

Who it is for

  • Python developers building computer-vision workflows around Roboflow-hosted projects and models.
  • Teams that want to script dataset uploads, model management or deployment tasks.
  • Developers who need to search and export workspace images as datasets.

Documented uses

  • Create and manage computer-vision projects.
  • Upload images, annotations and datasets to Roboflow.
  • Start training vision models on Roboflow and deploy model weights.
  • Run inference on hosted models or models self-hosted through Roboflow Inference.
  • Search workspace images and export matching results in supported dataset formats.
Before you choose

Requirements & limits

The package requires Python 3.10 or later and authentication with a Roboflow account or API key. The repository identifies the license as Apache-2.0.

  • The standard installation includes image processing, inference and training dependencies; roboflow-slim is described for workspace management, vision events and CLI use without those capabilities.
  • Local HEIC/HEIF decoding needs the heic extra; the README says HEIC uploads work without it because the server decodes them.
  • Some functionality is available through the CLI, including search and export.
  • Self-hosted model inference uses the separate Roboflow Inference component.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install and authenticate Roboflow Python

Prepare the SDK and authenticate before using workspace and project operations.

Before you start

  • Python 3.10 or later
  • A Roboflow account, or an API key

Steps

  1. Install the package with the command below.

    Documented command
    pip install roboflow

  2. In Python, import roboflow and run roboflow.login().

  3. Alternatively, create a Roboflow client using an API key.

Expected outcome

The package is installed and authenticated for subsequent Roboflow operations.

Guide limitations

  • Authentication is required to use the package.
  • The guide covers setup and authentication, not execution of a dataset or model workflow.
Documentation 1 ↗
Source-based practical guide

Search and export workspace images

Export images matching a workspace search query as a dataset.

Before you start

  • The Roboflow Python package installed
  • Authenticated Roboflow access
  • A workspace containing images to search

Steps

  1. Obtain the workspace through the authenticated client.

  2. Call workspace.search_export with a query, such as class:person, and an output format such as COCO.

  3. Optionally specify a project and local output directory.

Expected outcome

Matching workspace images are exported as a dataset in the selected format.

Guide limitations

  • The README lists supported formats including COCO, YOLOv8, YOLOv5 and Pascal VOC.
  • The source documents the call pattern but does not specify search-result behavior or export limits.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Model inference and serving

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
Roboflow PythonCreate and manage computer-vision projects.CLIThe package requires Python 3.10 or later and authentication with a Roboflow account or API key. The repository identifies the license as Apache-2.0.
HyperposeCustomize pose-estimation architectures and datasets.Docker, Linux, macOS, Windows
Multi Task NlpDefine multiple tasks and their data and model settings in a YAML file.Linux, macOS, WindowsThe project is an open-source library under the Apache-2.0 license, distributed through its public GitHub repository.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
13 October 2026
Original website title
roboflow/roboflow-python · Official homepage title · retained in its source language
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