Xpectra Python SDK 🚀
The official Python SDK for Xpectra. This library provides a high-level, fluent API for telemetry discovery, ingestion, and querying.
✨ Features
- Fluent Discovery: Easily browse experiments, datasets, and channels.
- Strictly Typed: Full Python types for experiments, datasets, and sensors.
- Pandas Integration: Load telemetry data directly into DataFrames.
- Batch & Stream Ingest: Support for high-performance telemetry submission.
- Org-scoped Auth: Secure authentication using organization API keys.
📦 Installation
# Using uv (recommended)
uv add xpectra-client
# Using pip
pip install xpectra-client
🚀 Quick Start
from xpectra import Client
import pandas as pd
from datetime import datetime
# Initialize the client
client = Client(
api_key="sk_xp_...",
endpoint="app.xpectraflow.com:50051", # gRPC ingest endpoint
base_url="https://app.xpectraflow.com" # Web API base URL
)
# 1. Discover data
dataset = client.get_dataset("Pulse 3", experiment_id="...")
print(f"Dataset status: {dataset.metadata.status}")
# 2. Ingest data
df = pd.DataFrame({
"Temperature": [22.5, 23.1],
"Pressure": [1013, 1012]
}, index=[datetime.now(), datetime.now()])
dataset.ingest(df)
# 3. Load data
loaded_df = dataset.load(limit=100)
print(loaded_df.head())
📚 Examples
Check the examples/ directory for more:
full_client_demo.py: Comprehensive metadata and discovery walkthrough.stream_csv.py: Ingest data from CSV files.api_key_auth.py: Authentication patterns.
🔐 Authentication
Generate your API key in the Xpectra dashboard under Settings → API Keys.
© 2026 Xpectra. All rights reserved.
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