roboflow
Official Python package for working with the Roboflow API
Decision gist · record as of 2026-08-14
Yes. Roboflow is actively maintained, has low install friction, permissive licensing, and no known vulnerabilities. Install it if you are already using Roboflow's platform and want to automate project and model management from Python. If you are not yet a Roboflow user or prefer a self-contained, offline computer vision workflow, you may not need it. The roboflow-slim variant makes it practical for lightweight deployments.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or higher.
- API key from Roboflow account needed for authentication.
- Full install (~400MB) includes heavy dependencies; use roboflow-slim for lightweight environments.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache Software License (permissive), which allows commercial use, modification, and distribution with minimal restrictions—no notable licensing concerns for most use cases.
last release 2026-07-23 (22 days) · last repo commit 2026-08-10 · 622 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 6,003,713 downloads/mo, #1,988 on PyPI
Alternatives
Verify before relying
pip install roboflow
import roboflow
rf = roboflow.Roboflow(api_key="YOUR_API_KEY")
workspace = rf.workspace()
project = workspace.create_project(
project_name="My Project",
project_type="object-detection"
)
predictions = project.version(1).models()[0].predict("image.jpg", hosted=True).json()- Whether the package works offline or requires persistent network connectivity to Roboflow servers
- Performance characteristics and latency for inference on large batches of images
- Compatibility with specific model formats beyond those mentioned (yolov5, yolov8, yolov10)
What it is and what it does
Roboflow is the official Python client for the Roboflow computer vision platform. It bridges your local Python environment and Roboflow's hosted infrastructure, letting you programmatically manage projects, upload datasets with annotations, trigger model training, and run inference on trained models. The package abstracts the Roboflow API behind a workspace-project-version hierarchy that mirrors the web interface, so you work with familiar concepts: create a project, upload images and annotations in standard formats (YOLO, COCO, Pascal VOC), train a model, and deploy it for inference.
The package ships with 21 runtime dependencies covering image processing (opencv-python-headless, Pillow, numpy), visualization (matplotlib), CLI tools (typer, click), and HTTP utilities (requests, urllib3). A lightweight roboflow-slim variant strips out image processing for serverless or embedded contexts. It is actively maintained, recently released, and has no known security vulnerabilities.
Use it for
- Upload a local dataset to Roboflow and trigger training of an object detection model without leaving Python
- Run inference on images using a trained model hosted on Roboflow or self-hosted via Roboflow Inference
- Create and manage multiple computer vision projects programmatically, organizing datasets by annotation type
- Search for images across your workspace by class or tag and export matching results as a ready-to-use dataset
- Deploy custom model weights (e.g., YOLOv10) to a Roboflow version for inference via the API
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Roboflow is actively maintained, has low install friction, permissive licensing, and no known vulnerabilities. Install it if you are already using Roboflow's platform and want to automate project and model management from Python. If you are not yet a Roboflow user or prefer a self-contained, offline computer vision workflow, you may not need it. The roboflow-slim variant makes it practical for lightweight deployments.
Install
roboflow on PyPI
Before you install
Install friction is low; the package is a pure Python wheel with no compiled dependencies. Maintenance is active, with a recent release 22 days ago and steady commits. The 21 runtime dependencies include heavy libraries like opencv-python-headless, numpy, and matplotlib, but a lightweight roboflow-slim variant is available for environments where image processing is not needed.
Requires Python 3.10 or higher. API key from Roboflow account needed for authentication. Full install (~400MB) includes heavy dependencies; use roboflow-slim for lightweight environments.
License in practice
Licensed under Apache Software License (permissive), which allows commercial use, modification, and distribution with minimal restrictions—no notable licensing concerns for most use cases.
Quickstart
pip install roboflow
import roboflow
rf = roboflow.Roboflow(api_key="YOUR_API_KEY")
workspace = rf.workspace()
project = workspace.create_project(
project_name="My Project",
project_type="object-detection"
)
predictions = project.version(1).models()[0].predict("image.jpg", hosted=True).json()Verify before relying
- Whether the package works offline or requires persistent network connectivity to Roboflow servers
- Performance characteristics and latency for inference on large batches of images
- Compatibility with specific model formats beyond those mentioned (yolov5, yolov8, yolov10)
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 21 packagescertifiidnacyclerkiwisolvermatplotlibnumpyopencv-python-headlessPillowpi-heifpillow-avif-pluginpython-dateutilpython-dotenvrequestssixurllib3tqdmPyYAMLrequests_toolbeltfiletypetyperclick |
| Maintenance | Actively maintained 22 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 6,003,713 / month, #1,988 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: roboflow-1.4.0-py3-none-any.whl
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