Smartsheet SDKs & Libraries: Official & Community Tools (2026)

SDKs overview

Smartsheet provides Software Development Kits (SDKs) and client libraries to facilitate programmatic interaction with its platform via the Smartsheet API 2.0. These SDKs abstract the underlying HTTP requests and JSON parsing, allowing developers to integrate Smartsheet functionalities into their applications using familiar programming language constructs. The primary goal of these libraries is to reduce the boilerplate code required for common operations, such as authenticating users, reading sheet data, adding rows, or managing attachments.

The SDKs are designed to support various use cases, including custom dashboard creation, automated report generation, data synchronization with external databases, and building custom workflow automations beyond the standard Smartsheet features. They typically handle aspects like request signing, error handling, and pagination automatically, simplifying the development process. Smartsheet also supports webhooks, which can be configured to notify external applications of specific events within Smartsheet, such as a row being updated or a new attachment being added, further enhancing integration capabilities Smartsheet webhooks documentation.

Developers can choose an SDK based on their preferred programming language, with official support for several widely used environments. For languages without an official SDK, the Smartsheet REST API documentation provides the necessary information to build custom client libraries or directly interact with the API.

Official SDKs by language

Smartsheet maintains official SDKs for several popular programming languages, ensuring compatibility and providing direct support. These SDKs are typically open-source and hosted on platforms like GitHub, allowing community contributions and issue tracking. Each SDK is tailored to the conventions and best practices of its respective language, offering an idiomatic way to interact with the Smartsheet API.

These official SDKs are regularly updated to reflect new API features and improvements, and they are the recommended approach for most integration projects. They typically include comprehensive documentation and examples within their respective GitHub repositories, providing guidance on authentication, data manipulation, and error handling. For instance, the Python SDK offers methods for managing sheets, rows, columns, and discussions, abstracting the underlying JSON structures into Python objects.

Installation

Installing Smartsheet SDKs follows the standard practices for each programming ecosystem. Developers typically use language-specific package managers to fetch and install the libraries, along with their dependencies. Authentication usually involves obtaining an API access token from the Smartsheet platform, which is then used to initialize the SDK client.

Python SDK Installation

To install the Python SDK, use pip:

pip install smartsheet-python-sdk

Java SDK Installation (Maven)

For Maven-based Java projects, add the following dependency to your pom.xml:

<dependency>
    <groupId>com.smartsheet</groupId>
    <artifactId>smartsheet-sdk-java</artifactId>
    <version>3.1.0</version> <!-- Check for the latest version -->
</dependency>

C# (.NET) SDK Installation

Install the C# SDK using the NuGet Package Manager Console:

Install-Package Smartsheet.Api

Alternatively, use the .NET CLI:

dotnet add package Smartsheet.Api

Node.js SDK Installation

For Node.js projects, use npm:

npm install smartsheet-sdk

After installation, the next step is to configure your environment with an API access token. This token grants your application permission to interact with your Smartsheet data. Best practices recommend storing API tokens securely, typically using environment variables or a secure configuration management system, rather than hardcoding them directly into source code. The Smartsheet authentication guide details how to generate and manage these tokens, supporting both API access tokens and OAuth 2.0 flows for more complex user authentication scenarios.

Quickstart example

This Python example demonstrates how to initialize the Smartsheet client, list all accessible sheets, and print their names and IDs. This requires an API access token, which should be stored as an environment variable named SMARTSHEET_ACCESS_TOKEN.

import smartsheet
import os

# Initialize client
# Access Token is usually obtained from an environment variable for security
access_token = os.getenv('SMARTSHEET_ACCESS_TOKEN')

if not access_token:
    print("Error: SMARTSHEET_ACCESS_TOKEN environment variable not set.")
    exit()

smartsheet_client = smartsheet.Smartsheet(access_token)

# Optionally, set the API base URL if not using commercial US region
# smartsheet_client.base_url = 'https://api.smartsheet.com/2.0/'

def list_all_sheets():
    try:
        # Get all sheets
        response = smartsheet_client.Sheets.list_sheets(include_all=True)
        sheets = response.data

        if sheets:
            print("\nAccessible Smartsheet Sheets:")
            for sheet in sheets:
                print(f"  Name: {sheet.name}, ID: {sheet.id}")
        else:
            print("No sheets found or accessible.")

    except smartsheet.exceptions.SmartsheetException as e:
        print(f"An error occurred: {e}")
    except Exception as e:
        print(f"An unexpected error occurred: {e}")

if __name__ == "__main__":
    list_all_sheets()

This script first retrieves the API token from the environment, initializes the Smartsheet client, and then calls the list_sheets method. The include_all=True parameter ensures that all sheets the authenticated user has access to are returned, not just a paginated subset. Error handling is included to catch potential SmartsheetException instances, which can occur due to invalid tokens, rate limits, or other API-related issues. For a more comprehensive understanding of the Smartsheet API capabilities and error codes, consult the Smartsheet API error code reference.

Community libraries

While Smartsheet provides official SDKs for several major languages, the developer community often contributes additional libraries, tools, and integrations for other languages or specialized use cases. These community-driven projects can offer solutions where an official SDK might not exist, or they might provide specialized functionalities not covered by the official offerings.

For example, developers might find community libraries for languages like Ruby or Go, or utilities that streamline specific tasks such as converting Smartsheet data into different formats (e.g., CSV, JSON, XML) or integrating with niche third-party services. These projects are typically hosted on platforms like GitHub or package repositories specific to their language (e.g., RubyGems for Ruby, pkg.go.dev for Go).

When considering community libraries, it is important to evaluate their maintenance status, documentation quality, and active support from their creators. Checking the project's GitHub repository for recent commits, open issues, and pull requests can provide insight into its current health and reliability. While official SDKs offer guaranteed support and updates from Smartsheet, community libraries can fill specific gaps and accelerate development for particular needs.

For instance, an independent developer might create a wrapper for a specific data visualization library to consume Smartsheet data, or a utility to manage Smartsheet webhooks more dynamically than the API alone allows. Examples of such broader integration patterns are also explored in resources like the AWS SDK for PHP developer guide, which illustrates how SDKs generally facilitate interaction with complex cloud services, a principle applicable to Smartsheet's API as well.