Skip to main content

A Python SDK for interacting with Sisense API

Project description

📊 Sisense SDK (pysisense)

pysisense is a Python SDK designed for seamless and structured interaction with the Sisense API.
It simplifies complex API operations and allows you to automate and manage users, groups, dashboards, data models, and more.

✅ Built for automation, debugging, and extensibility.


📦 Installation

You can install pysisense from PyPI:

pip install pysisense

For local development, install in editable mode:

pip install -e .

🚀 Quick Start

1️⃣ Create your YAML config files

Create one or more YAML files (use the templates in examples/ as reference only):

  • config.yaml – for single-environment operations
  • source.yaml and target.yaml – for migration scenarios

Each file should follow this structure:

domain: "your-domain.com"
is_ssl: true
token: "<your_api_token>"

⚠️ Do not commit your tokens. The provided YAMLs contain placeholder structure only.

⚠️ Important: Use a Dedicated Admin Token

Some methods in this SDK require full administrative privileges to interact with Sisense resources (such as ownership changes, user migrations, or folder/dashboard access).

To avoid permission-related issues or incomplete operations:

It is recommended to use a new dedicated Sisense admin user's token when authenticating via your config.yaml.

Using restricted or scoped users may result in failures or inconsistent behavior, especially for:

  • Folder and dashboard ownership changes
  • Granting permissions across environments
  • System-wide migrations

2. Explore Example Guides

The examples/ folder contains Markdown guides. Each guide explains common workflows and includes copy-pasteable code snippets you can adapt in your own project:

  • access_management_example.md
    Identity & Governance — manage users, groups, folder access, and governance tasks (e.g., unused assets).

  • datamodel_example.md
    Data Modeling — work with datasets, tables, columns, and schema within Sisense data models.

  • dashboard_example.md
    Dashboard Lifecycle — retrieve, update, reassign ownership, and manage shares of dashboards.

  • migration_example.md
    Environment Migration — migrate users, dashboards, and data models across environments (e.g., dev → prod).

Note: These guides are not meant to be executed end-to-end. Copy the relevant snippets into your own Python files or notebooks, update configuration (YAML paths, IDs, etc.), and run them in your environment.


3️⃣ Logs

All logs are saved automatically to a local folder:

logs/pysisense.log

You don’t need to create this folder manually — it will be created at runtime in the same directory where you run your scripts.


✅ Features

  • 👥 User & Group Management – Create, update, delete, and fetch users or groups
  • 📊 Dashboard Management – Export, share, and migrate dashboards
  • 📦 Data Models – Explore, describe, and update schemas and security
  • 🔐 Permissions – Resolve and apply share rules (users & groups)
  • 🔄 Cross-Environment Migrations – Move dashboards, models, and users
  • 🧠 Smart Logging & Data Helpers – Auto log capture, CSV export, and DataFrame conversion
  • And many more – Refer to the documentation for full details

🔧 Design Philosophy

  • Pythonic SDK with class-based structure (Dashboard, DataModel, AccessManagement, Migration)
  • Modular YAML-based authentication
  • Built-in logging and exception handling
  • Designed for end-to-end automation and real-world use

📚 Documentation

Comprehensive module-level documentation is available in the docs/ folder:

  • Index – Overview of the SDK structure and modules
  • Sisense Client – Base API wrapper for all HTTP operations
  • Access Management – Manage users, groups, roles, and permissions
  • Data Model – Handle datasets, tables, schemas, security, and deployment
  • Dashboard – Retrieve, modify, and share Sisense dashboards
  • Migration – Migrate users, dashboards, and models between environments
  • Utils – Helper functions for export, formatting, and data operations

You can also explore:

  • Inline method docstrings using help() in Python or directly within your IDE.

📄 License

This project is licensed under the Sisense End User License Agreement (EULA). See the LICENSE file for the full text.

© 2025 Sisense Ltd. “Sisense” and related marks are trademarks of Sisense Ltd.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pysisense-0.1.6.tar.gz (63.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pysisense-0.1.6-py3-none-any.whl (63.2 kB view details)

Uploaded Python 3

File details

Details for the file pysisense-0.1.6.tar.gz.

File metadata

  • Download URL: pysisense-0.1.6.tar.gz
  • Upload date:
  • Size: 63.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.12

File hashes

Hashes for pysisense-0.1.6.tar.gz
Algorithm Hash digest
SHA256 9433d545347544a8b515faeb42ce7c7452ae69b2a1998a5357cdce90996c28c3
MD5 a2479aa336535275a1e764ca3ed6fb66
BLAKE2b-256 94e472e353cf085329ac025c9b735558f3b16d608c46a6f72e76ead13af3eea2

See more details on using hashes here.

File details

Details for the file pysisense-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: pysisense-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 63.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.12

File hashes

Hashes for pysisense-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 0607227e99e65eb6cfab7095dce5c1b30470f5a317a3ec771119ec837fc8758a
MD5 66494f21f409a619ede5691b7db07c31
BLAKE2b-256 b617065929582c102dea1433c57acebd8f141ccfa948112ad2b0434fd994f01c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page