Turn Raw Data into Collaborative Insights
Automate EDA and manage multi-user datasets in real-time. The only platform engineered for data teams who need speed without sacrificing precision.
Powered by the leading data science ecosystem
Python
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorchEngineered for
Modern Data Teams
Everything you need to manage complex datasets and automate your workflow. Say goodbye to fragmented Jupyter notebooks.
Real-time Collaboration
Multi-cursor editing and live commenting directly on your datasets.
Automated EDA
Instant distribution plots, null value detection, and correlation matrices.
Version Control
Git-like history for your datasets to track changes and roll back instantly.
Connect Any Source
Seamlessly integrate with PostgreSQL, Snowflake, BigQuery, and S3 buckets with one click.
Smart Cleaning
AI-suggested cleaning rules for messy data. Standardize dates and categorical values instantly.
Enterprise Security
SOC2 Type II compliant. Role-based access control (RBAC) and audit logs built-in.
Robust API
Programmatic access to all your datasets. Automate pipelines via our RESTful API.
analysis.py
import collabdata as cd
# Initialize project
project = cd.connect("marketing_q3")
# Auto-clean dataset
df = project.load_data()
df.clean(strategy="aggressive")
# Generate insights
insights = df.get_correlations(target="conversion_rate")
cd.publish(insights, channel="slack")Developer First API
Integrate seamlessly with your existing Python and SQL workflows. Our SDK is designed to be intuitive for data scientists and powerful for data engineers.
Ready to engineer
better data?
Join 10,000+ data engineers and analysts who are saving hours every week with CollabData.