encord
Encord Python SDK Client
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries a permissive license, and is backed by a real platform with documentation. Install it if you need programmatic access to Encord's data management and annotation services. No known vulnerabilities as of the fact sheet date.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a service account with SSH key pair registered in the Encord platform; authentication credentials must be set up before client initialization.
- Active maintenance with a release 7 days old.
- Low install friction with 7 runtime dependencies all widely available.
License · maintenance · safety
Apache Software License (permissive) — Apache Software License (permissive) means you can use this freely in commercial and open-source projects with minimal restrictions.
last release 2026-08-07 (7 days) · last repo commit 2026-08-07 · 68 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 160,325 downloads/mo, #10,665 on PyPI
Alternatives
Verify before relying
pip install encord
from encord import EncordUserClient
user_client = EncordUserClient.create_with_ssh_private_key(
ssh_private_key_path="/path/to/private/key"
)- Whether optional extras (coco, mcap) are necessary for your use case and what their additional dependencies entail.
- API rate limits, quota constraints, or throttling behavior not documented in the excerpt.
- Whether the client handles connection pooling or retry logic automatically.
What it is and what it does
Encord is a Python client library for interacting with Encord's API, a platform designed to manage and annotate large-scale multimodal datasets. It provides a minimal, low-level interface to Encord's backend services, allowing you to programmatically work with data ranging from video and sensor streams to text. The client authenticates via SSH key pairs and exposes methods to interact with Encord's data management, curation, and annotation workflows.
The library is actively maintained and supports modern Python versions (3.9–3.14). It has a lean dependency footprint, relying on standard utilities like requests, cryptography, pydantic, and orjson for HTTP communication, encryption, validation, and JSON serialization. Optional extras are available for specialized tasks like COCO format import/export and MCAP support.
Use it for
- Automate bulk upload and organization of video or sensor data into Encord for annotation workflows.
- Programmatically retrieve annotated datasets and metadata from Encord for downstream model training.
- Integrate Encord's data management capabilities into a larger ML pipeline or data processing system.
- Export annotated data in COCO format for computer vision model training using the optional coco extra.
- Query and manage data curation tasks across large multimodal datasets without manual platform interaction.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries a permissive license, and is backed by a real platform with documentation. Install it if you need programmatic access to Encord's data management and annotation services. No known vulnerabilities as of the fact sheet date.
Install
encord on PyPI
Before you install
Active maintenance with a release 7 days old. Low install friction with 7 runtime dependencies all widely available. Supports Python 3.9 through 3.14.
Requires a service account with SSH key pair registered in the Encord platform; authentication credentials must be set up before client initialization.
License in practice
Apache Software License (permissive) means you can use this freely in commercial and open-source projects with minimal restrictions.
Quickstart
pip install encord
from encord import EncordUserClient
user_client = EncordUserClient.create_with_ssh_private_key(
ssh_private_key_path="/path/to/private/key"
)
Verify before relying
- Whether optional extras (coco, mcap) are necessary for your use case and what their additional dependencies entail.
- API rate limits, quota constraints, or throttling behavior not documented in the excerpt.
- Whether the client handles connection pooling or retry logic automatically.
Package facts
| License | Apache Software License permissive |
| Python support | Supports the current Python release <3.15,>=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagespython-dateutilrequestscryptographytqdmpydanticorjsontyping-extensions |
| Maintenance | Actively maintained 7 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 160,325 / month, #10,665 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 :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9 |
Evidence: encord-0.1.201-py3-none-any.whl
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