cognite-sdk
Cognite Python SDK
Decision gist · record as of 2026-08-14
Yes. The SDK is actively maintained (released within 1 day), has no known vulnerabilities, low install friction, and permissive licensing. It is the official client for Cognite Data Fusion and essential if you work with CDF data. The async support in v8 is a significant addition for concurrent workloads. Install it if you need to access CDF from Python; skip it only if you do not use Cognite's platform.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (supports up to 3.14).
- Authentication credentials for Cognite Data Fusion are needed to connect.
- Low friction installation with a pure-wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 (permissive) allows commercial and private use with minimal restrictions, making it suitable for most production and research contexts.
last release 2026-08-13 (1 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 511,770 downloads/mo, #6,259 on PyPI
Alternatives
Verify before relying
pip install cognite-sdk
from cognite.client import CogniteClient
client = CogniteClient()
tss = client.time_series.list()- Whether the async client is production-ready for all use cases or still has limitations compared to the sync client.
- Performance improvements from the new httpx-based HTTP client on platforms other than Windows.
- Whether optional dependencies (numpy, pandas, geopandas, shapely, sympy, PyYAML) are required for typical workflows or truly optional.
What it is and what it does
The Cognite Python SDK is a client library for accessing Cognite Data Fusion (CDF), an industrial data platform. It provides both synchronous and asynchronous interfaces to query and manipulate time series, assets, events, and other data types stored in CDF. Version 8 introduces full async/await support via the new AsyncCogniteClient, enabling non-blocking concurrent operations in notebooks and web frameworks like Streamlit, alongside a refactored synchronous client that now wraps the async implementation internally.
The SDK is tightly integrated with pandas and numpy, offering specialized endpoints like retrieve_dataframe and retrieve_arrays for efficient bulk data retrieval. It depends on authlib and msal for authentication, httpx for HTTP operations, protobuf for serialization, and standard utility libraries. Installation is straightforward with optional extras for data science workflows (pandas, numpy, geo, sympy, yaml).
Use it for
- Fetch time series data from CDF into pandas DataFrames or numpy arrays for analysis in Jupyter notebooks.
- Build async data pipelines that concurrently retrieve multiple asset hierarchies or event streams without blocking.
- Integrate CDF data into Streamlit dashboards using async operations for responsive, non-blocking UI updates.
- Automate bulk uploads or transformations of industrial sensor data stored in Cognite Data Fusion.
- Query and filter assets, events, and metadata from CDF in Python applications or data workflows.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The SDK is actively maintained (released within 1 day), has no known vulnerabilities, low install friction, and permissive licensing. It is the official client for Cognite Data Fusion and essential if you work with CDF data. The async support in v8 is a significant addition for concurrent workloads. Install it if you need to access CDF from Python; skip it only if you do not use Cognite's platform.
Install
cognite-sdk on PyPI
Before you install
Low friction installation with a pure-wheel distribution. Active maintenance (released 2026-08-13) and no known vulnerabilities. Eight runtime dependencies are all widely-used libraries (authlib, httpx, msal, protobuf, packaging, typing_extensions, tzdata, pip).
Requires Python 3.10 or later (supports up to 3.14). Authentication credentials for Cognite Data Fusion are needed to connect.
License in practice
Apache-2.0 (permissive) allows commercial and private use with minimal restrictions, making it suitable for most production and research contexts.
Quickstart
pip install cognite-sdk
from cognite.client import CogniteClient
client = CogniteClient()
tss = client.time_series.list()Verify before relying
- Whether the async client is production-ready for all use cases or still has limitations compared to the sync client.
- Performance improvements from the new httpx-based HTTP client on platforms other than Windows.
- Whether optional dependencies (numpy, pandas, geopandas, shapely, sympy, PyYAML) are required for typical workflows or truly optional.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesauthlibhttpxmsalpackagingpipprotobuftyping_extensionstzdata |
| Maintenance | Actively maintained 1 days since the last release |
| First released | |
| Downloads | 511,770 / month, #6,259 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: cognite_sdk-8.13.0-py3-none-any.whl
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