opendatalab
OpenDataLab Python SDK
Decision gist · record as of 2026-08-14
Yes, if you need to access OpenDataLab datasets and can work around the aging maintenance status. The package is lightweight to install, has no known vulnerabilities, and the MIT license carries no restrictions. However, be aware that the last release was over a year ago, the maintainers flag ongoing compatibility concerns with the platform API, and you may need to stay on the latest version or work around breaking changes. Suitable for active projects where you can tolerate occasional friction; less suitable if you need long-term stability guarantees.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- An OpenDataLab account (username and password) is required to authenticate and access datasets.
- You must register at https://opendatalab.org.cn/ first.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
MIT (permissive) — MIT license is permissive and imposes no restrictions on use, modification, or distribution in your own projects.
last release 2023-08-02 (1108 days) · last repo commit 2025-07-31 · 60 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 215,477 downloads/mo, #9,399 on PyPI
Alternatives
Verify before relying
pip install opendatalab
from opendatalab.cli.login import implement_login
from opendatalab.cli.utility import ContextInfo
from opendatalab.__version__ import __url__
ctx = ContextInfo(__url__, "")
client = ctx.get_client()
odl_api = client.get_api()
res_list = odl_api.search_dataset("MNIST")- Current state of OpenAPI compatibility between SDK and platform—the description flags this as uncertain
- Whether the aging maintenance status reflects active development or dormancy
- Whether pywin32 dependency is truly required on non-Windows platforms or is conditionally installed
What it is and what it does
OpenDataLab Python SDK is a client library and CLI tool for accessing datasets from the OpenDataLab platform (opendatalab.org.cn). It wraps the platform's API to let you search, list, and download datasets programmatically or via command-line commands like `odl get`, `odl ls`, and `odl search`. The package requires an OpenDataLab account and handles authentication, file listing with metadata, and dataset downloads with progress tracking.
The SDK depends on click for CLI scaffolding, requests for HTTP calls, tqdm for progress bars, colorama and rich for terminal output formatting, pycryptodome for cryptographic operations, openxlab for platform integration, and pywin32 for Windows support. It targets Python 3.7 and later and is classified as Beta. The maintainers explicitly warn that the SDK is work-in-progress and may have compatibility gaps with the OpenAPI, so staying on the latest version is advised.
Use it for
- Search and browse available datasets on OpenDataLab without leaving your Python environment or shell.
- Download machine learning datasets like MNIST, COCO, or TAO in bulk for local training pipelines.
- List and inspect dataset file structures and sizes before deciding which files to download.
- Automate dataset acquisition in data preparation scripts or CI/CD workflows.
- Read dataset files directly from the platform without downloading them locally first.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to access OpenDataLab datasets and can work around the aging maintenance status.
The package is lightweight to install, has no known vulnerabilities, and the MIT license carries no restrictions. However, be aware that the last release was over a year ago, the maintainers flag ongoing compatibility concerns with the platform API, and you may need to stay on the latest version or work around breaking changes. Suitable for active projects where you can tolerate occasional friction; less suitable if you need long-term stability guarantees.
Install
opendatalab on PyPI
Before you install
Low install friction with a pure-Python wheel. Maintenance is aging—last release was over a year ago (2023-08-02) and the last commit was 2025-07-31, suggesting sporadic updates. The description warns that the SDK is WIP and recommends using the latest version due to potential OpenAPI compatibility issues.
An OpenDataLab account (username and password) is required to authenticate and access datasets. You must register at https://opendatalab.org.cn/ first.
License in practice
MIT license is permissive and imposes no restrictions on use, modification, or distribution in your own projects.
Quickstart
pip install opendatalab
from opendatalab.cli.login import implement_login
from opendatalab.cli.utility import ContextInfo
from opendatalab.__version__ import __url__
ctx = ContextInfo(__url__, "")
client = ctx.get_client()
odl_api = client.get_api()
res_list = odl_api.search_dataset("MNIST")Verify before relying
- Current state of OpenAPI compatibility between SDK and platform—the description flags this as uncertain
- Whether the aging maintenance status reflects active development or dormancy
- Whether pywin32 dependency is truly required on non-Windows platforms or is conditionally installed
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagespycryptodomeclickrequeststqdmcoloramarichopenxlabpywin32 |
| Maintenance | Aging 1,108 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 215,477 / month, #9,399 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Artificial IntelligenceTyping :: Typed |
Evidence: opendatalab-0.0.10-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “dataset download sdk”
- opendatalabOpenDataLab Python SDK provides programmatic and CLI access to…
- azuremlConnects to Azure Machine Learning Studio workspaces to download,…
- objaverseDownloads and processes Objaverse-XL, an open dataset of over 10…
Give your agent the search over MCP, or paste the wish link into any chat.
More Artificial Intelligence packages
LiteLLM provides a unified Python interface to call 100+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, Azure, and others) using OpenAI-compatible API format, available as both a Python SDK and a self-hosted AI Gateway proxy server.
Install it if you need to work with multiple LLM providers or want to centralize LLM routing in your organization.
Client library and CLI tool for downloading, uploading, and managing models, datasets, and repositories on the Hugging Face Hub platform.
Install it if you work with Hugging Face Hub models or datasets.
LangChain provides a framework for building agents and LLM-powered applications by composing language models, tools, and memory through a unified API that abstracts over multiple model providers.
hf-xet provides chunk-based deduplication and efficient file transfer for the Hugging Face Hub, enabling faster uploads and downloads of large files with local disk caching.
Tokenizers converts raw text into token sequences for NLP models, with support for training custom vocabularies and using pre-built tokenizers (BPE, WordPiece) optimized for speed via Rust.
Transformers provides a unified framework for loading, fine-tuning, and running state-of-the-art pretrained models across text, vision, audio, video, and multimodal tasks using PyTorch, JAX, or TensorFlow.
Install it if you need to run or train any transformer-based model for NLP, vision, audio, or multimodal tasks.
See also tensorflow-datasets · openbb-fred · tfds-nightly · pephubclient · datazets · pyicloud · athina-client · kagglehub · longbridge · kagglesdk