pydatagraphs 0.6.0

Datagraphs python client

DataGraphs Python Client

Python client library for DataGraphs.

Installation

uv add pydatagraphs

or

pip install pydatagraphs

Quick starts

from datagraphs import Client

# Connect to a project
client = Client(
    project_name="my-project",
    api_key="your-api-key",
)

# Check the API is reachable
print(client.status())

# Retrieve all entities of a given type
products = client.get("Product")

# Query with filters and pagination
results = client.query(q="Acme", page_size=50)

from datagraphs import Client

# Connect to a project
client = Client(
    project_name="my-project",
    api_key="your-api-key",
    client_id="your-client-id",
    client_secret="your-client-secret"
)

# Read the project schema and dataset configurations
schema = client.get_schema()
datasets = client.get_datasets()

# Update the project schema and dataset configurations
client.apply_schema(schema)
client.apply_datasets(datasets)

import json
from datagraphs import Client, Gateway, Schema, Dataset

# Connect to a project
client = Client(
    project_name="my-project",
    api_key="your-api-key",
    client_id="your-client-id",
    client_secret="your-client-secret"
)
gateway = Gateway(client)

# Load / dump data via the Gateway
gateway.dump_data("./backup")
gateway.load_data(from_dir_path="./backup")

# Load / dump project via the Gateway
schema_output_path = "./schemas/"
datasets_output_path = "./datasets/"
gateway.dump_project(schema_output_path, datasets_output_path)

with open("./schemas/myproject-model-v1.0.json") as f:
    schema_data = json.load(f)
with open("./datasets/myproject-datasets-v1.0.json") as f:
    datasets_data = json.load(f)
schema = Schema.create_from(schema_data)
datasets = [Dataset.create_from(d) for d in datasets_data]
gateway.load_project(schema, datasets)

For full API documentation, please see here

Authentication

For read-only access, an API key is sufficient. For write operations, supply OAuth credentials as well:

client = Client(
    project_name="my-project",
    api_key="your-api-key",
    client_id="your-client-id",
    client_secret="your-client-secret",
)

Key classes

Class	Description
Client	HTTP client for the DataGraphs REST API
Gateway	Higher-level wrapper class for deploying projects and bulk export/load of data
Schema	In-memory representation of a project's domain model
Dataset	Represents a dataset within a project

Development

Install uv, then:

uv sync                                          # create virtualenv & install deps
uv run pytest tests -v                            # unit tests
uv run pytest tests_integration -v                # integration tests
uv run pytest tests -v --capture=tee-sys          # capturing stdout/stderr
uv run pytest --cov=src --cov-report=html         # coverage report
uvx ruff check .                                  # lint

License

MIT — Copyright (c) 2026 Data Language