cognite-sdk 8.0.0rc1
Cognite Python SDK
License: Apache-2.0
Requires Python: <4.0,>=3.10

<a href="https://cognite.com/">
    <img src="https://github.com/cognitedata/cognite-python-docs/blob/master/img/cognite_logo.png" alt="Cognite logo" title="Cognite" align="right" height="80" />
</a>

Cognite Python SDK
==========================
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This is the Cognite Python SDK for developers and data scientists working with Cognite Data Fusion (CDF).
The package is tightly integrated with pandas, and helps you work easily and efficiently with data in Cognite Data Fusion (CDF).

## What's new in v8
The SDK v8 introduces **full async support** with the new `AsyncCogniteClient`. This enables:

- Native `async/await` patterns for all API operations
- Non-blocking concurrent operations directly in Notebooks (including browser-based via Pyodide) and UI frameworks like Streamlit
- Significantly faster file uploads on Windows (new underlying HTTP client, `httpx`)

```python
# Async client (new in v8!)
from cognite.client import AsyncCogniteClient

async def main():
    client = AsyncCogniteClient()
    tss = await client.time_series.list()

# Sync client (still supported)
from cognite.client import CogniteClient

client = CogniteClient()
tss = client.time_series.list()
```

The synchronous `CogniteClient` remains fully supported and now wraps the async client internally.
See the [Migration Guide](MIGRATION_GUIDE.md) for a complete list of changes.

## Reference documentation
* [SDK Documentation](https://cognite-sdk-python.readthedocs-hosted.com/en/latest/)
* [CDF API Documentation](https://doc.cognitedata.com/)
* [Cognite Developer Documentation](https://docs.cognite.com/dev/)

## Installation

### Without any optional dependencies
To install the core version of this package:
```bash
pip install cognite-sdk
```

### With optional dependencies
A number of optional dependencies may be specified in order to support a wider set of features.
The available extras (along with the libraries they include) are:
- numpy `[numpy]`
- pandas `[pandas]`
- geo `[geopandas, shapely]`
- sympy `[sympy]`
- functions `[pip]`
- yaml `[PyYAML]`
- all `[numpy, pandas, geopandas, shapely, sympy, pip, PyYAML]`

To include optional dependencies:

**pip:**
```bash
pip install "cognite-sdk[pandas, geo]"
```

**poetry:**
```bash
poetry add cognite-sdk -E pandas -E geo
```

**uv:**
```bash
uv add "cognite-sdk[pandas, geo]"
```

### Performance notes
If you regularly need to fetch large amounts of datapoints, consider installing with `numpy`
(or with `pandas`, as it depends on `numpy`) for best performance, then use the `retrieve_arrays` (or `retrieve_dataframe`) endpoint(s). This avoids building large pure Python data structures, and instead reads data directly into memory-efficient `numpy.ndarrays`.

### Windows specific
If you experience issues installing the `geo` extra on Windows, consider using `conda` to install `geopandas` first. See the [geopandas installation page](https://geopandas.org/en/stable/getting_started/install.html#installation) for details.

## Changelog
Wondering about upcoming or previous changes to the SDK? Take a look at the [CHANGELOG](https://github.com/cognitedata/cognite-sdk-python/blob/master/CHANGELOG.md).

## Migration Guide
To help you upgrade your code(base) quickly and safely to a newer major version of the SDK, check out our migration guide. It is a more focused guide based on the detailed change log. [MIGRATION GUIDE](https://github.com/cognitedata/cognite-sdk-python/blob/master/MIGRATION_GUIDE.md).

## Contributing
Want to contribute? Check out [CONTRIBUTING](https://github.com/cognitedata/cognite-sdk-python/blob/master/CONTRIBUTING.md).