PowerPlatform-Dataverse-Client
Python SDK for Microsoft Dataverse
Decision gist · record as of 2026-08-14
Yes, with conditions. The package is actively maintained, has low install friction, and provides a well-structured interface to Dataverse. However, verify the actual license before use in proprietary contexts (license treatment is unclear), and be aware that it is in preview—expect possible breaking changes. No known vulnerabilities. Suitable for teams already committed to the Microsoft Power Platform ecosystem.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; requires a Microsoft Dataverse environment with appropriate permissions and OAuth authentication configured.
- Low install friction with four well-established runtime dependencies (azure-identity, azure-core, requests, pandas).
- Package is actively maintained with recent releases; marked as Production/Stable in classifiers despite being in preview, suggesting ongoing support.
License · maintenance · safety
(unclear) — License treatment is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license before adopting in proprietary or restricted environments.
last release 2026-05-29 (77 days) · last repo commit 2026-05-29 · 56 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 76,582 downloads/mo, #14,612 on PyPI
Alternatives
Verify before relying
pip install PowerPlatform-Dataverse-Client
from azure.identity import InteractiveBrowserCredential
from PowerPlatform.Dataverse.client import DataverseClient
credential = InteractiveBrowserCredential()
client = DataverseClient("https://yourorg.crm.dynamics.com", credential)
records = client.records.list("account", select=["name", "accountid"])- Stability and breaking-change frequency during preview phase—whether Production/Stable classifier reflects actual API maturity.
- Whether pandas is a hard runtime dependency or optional for DataFrame operations only.
- Performance characteristics and scalability limits for bulk operations and large result sets.
- Whether this package is suitable for Power Apps and Dynamics environments beyond Dataverse itself.
What it is and what it does
PowerPlatform Dataverse Client is a Python SDK for interacting with Microsoft Dataverse, the data platform underlying Power Apps. It wraps the Dataverse Web API with a pythonic interface, handling authentication via azure-identity, connection pooling, and structured error handling. The library organizes operations into namespaces: records (CRUD and OData queries), query (QueryBuilder and SQL), tables (metadata management), files (uploads with chunking), and batch (multi-operation requests).
The package is designed for developers building integrations, automations, or data pipelines that read from or write to Dataverse. It supports bulk operations using native Dataverse endpoints for efficiency, pandas DataFrames for data manipulation, and async clients for concurrent workloads. The library is in preview but marked Production/Stable in its classifiers, indicating active development and ongoing support.
Use it for
- Bulk import or synchronization of records from external systems into Dataverse tables.
- Automated data pipelines that query Dataverse via SQL or QueryBuilder and transform results with pandas.
- Programmatic table and relationship management for dynamic schema setup in Dataverse environments.
- File upload workflows to Dataverse file columns with automatic handling of large files.
- Batch operations combining CRUD, metadata, and query tasks in single HTTP requests for transactional consistency.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
The package is actively maintained, has low install friction, and provides a well-structured interface to Dataverse. However, verify the actual license before use in proprietary contexts (license treatment is unclear), and be aware that it is in preview—expect possible breaking changes. No known vulnerabilities. Suitable for teams already committed to the Microsoft Power Platform ecosystem.
Install
powerplatform-dataverse-client on PyPI
Before you install
Low install friction with four well-established runtime dependencies (azure-identity, azure-core, requests, pandas). Package is actively maintained with recent releases; marked as Production/Stable in classifiers despite being in preview, suggesting ongoing support.
Requires Python 3.10 or later; requires a Microsoft Dataverse environment with appropriate permissions and OAuth authentication configured.
License in practice
License treatment is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license before adopting in proprietary or restricted environments.
Quickstart
pip install PowerPlatform-Dataverse-Client
from azure.identity import InteractiveBrowserCredential
from PowerPlatform.Dataverse.client import DataverseClient
credential = InteractiveBrowserCredential()
client = DataverseClient("https://yourorg.crm.dynamics.com", credential)
records = client.records.list("account", select=["name", "accountid"])Verify before relying
- Stability and breaking-change frequency during preview phase—whether Production/Stable classifier reflects actual API maturity.
- Whether pandas is a hard runtime dependency or optional for DataFrame operations only.
- Performance characteristics and scalability limits for bulk operations and large result sets.
- Whether this package is suitable for Power Apps and Dynamics environments beyond Dataverse itself.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesazure-identityazure-corerequestspandas |
| Maintenance | Actively maintained 77 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 76,582 / month, #14,612 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: powerplatform_dataverse_client-1.0.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “dataverse python client”
- PowerPlatform-Dataverse-ClientA Python client library for Microsoft Dataverse that provides CRUD…
- codewords-clientA Python client library for the Codewords API with built-in FastAPI…
- openapi-python-clientGenerates type-annotated Python HTTP clients from OpenAPI 3.0 and 3.1…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also azure-data-tables · azure-cosmos · azure-identity · azure-storage-blob · azure-storage-file-datalake · pyapacheatlas · office365-rest-python-client · msgraph-sdk · salesforce-api · pysnow