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Software Development Kits (SDKs) and toolkits

Not all our SDKs have the same functionality, and they expose functionality differently. We have three types of SDKs:

  • General SDKs for interacting with the Cognite Data Fusion (CDF) APIs.

  • Specialized SDKs that offer a tailored experience for specific tasks or areas.

  • Industry SDKs that expose industry-specific functionality.

The general Python and JavaScript SDKs for CDF are primarily for backend and frontend work, respectively. The Python SDK is also used from the Jupyter Notebook and Streamlit-powered web experiences, and the JavaScript SDK is used from Node.js.

We also offer toolkits for setting up and handling CDF projects, as well as for creating extractors to import data into CDF.

Support and maintenance​

The general Python and JavaScript SDKs for CDF are supported by Cognite.

Other SDKs and toolkits are actively developed and are community-supported with contributions from Cognite engineers. They are provided as-is, without any support or warranties from Cognite.

General SDKs​

Python​

The Python SDK is targeted towards general usage of CDF for Python developers. It also supports high-throughput jobs (for data engineers) and many data scientist tasks.

The Python SDK is supported by Cognite.

JavaScript​

The JavaScript SDK is primarily for web developers who want to build frontend applications. Most usage is React-based, but you can also use Angular. The GraphQL API is available for use in any JavaScript application with a standard GraphQL client.

The JavaScript SDK is supported by Cognite.

Java​

The Java SDK targets backend developers and data engineers who want to build high-throughput applications. It's an alternative to the Python SDK.

The Java SDK is community-supported.

Scala​

The Scala SDK is used in CDF's transformation engine. It is primarily focused on moving large amounts of data.

The Scala SDK is community-supported.

.NET​

The .NET SDK is an asynchronous SDK for .NET developers. It's used in CDF's OData service and Power BI integration and is focused on queries and analytics. It can be used from C# and F#.

The .NET SDK is community-supported.

Rust​

The Rust SDK supports the core CDF resource types and data modeling.

The Rust SDK is community-supported.

Specialized SDKs​

Reveal 3D viewer​

The Reveal 3D viewer is an embeddable JavaScript library for visualizing large 3D models on the web. It supports complex CAD models and large point clouds.

The Reveal 3D viewer is community-supported.

Spark Data Source​

The Spark Data Source lets you read and write data from and to CDF in parallel using asynchronous calls with Apache Spark.

The Spark Data Source is community-supported.

Geospatial SDK​

The Geospatial SDK allows you to operate on the geospatial APIs in CDF using Python.

The Geospatial SDK is community-supported.

Industry SDKs​

Seismic SDK​

The Seismic SDK for Python is currently only available to selected customers. It allows you to use the seismic APIs to ingest SEG-Y files into CDF and to structure and query the data.

The Seismic SDK is community-supported.

Toolkits​

Extractor utils​

The Extractor utils toolkit for Python lets you build extractors for CDF. It handles caching of state, batchwise ingestion, monitoring heartbeat, logging, and more.

The Extractor utils is community-supported.

Data Modeling SDK Generator​

The Python Data Modeling SDK Generator (Pygen) generates a Python SDK for data model(s) in CDF. Use it to have a tailored SDK for your data model(s) that is easy to use and understand.

The Data Modeling SDK Generator is community-supported.

Simulator utils​

The Simulator utils toolkit for .NET helps developers build the simulator connectors for CDF. It reads the simulator models and routines from CDF, parses the simulation inputs, and pushes the results back to the cloud out of the box.

The Simulator utils is community-supported.

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