Fix Bugs at Any Step of Your Pipeline

35-50% of your time is spent debugging. What else would you do with it?

See the Docs

Fix Bugs at Any Step of Your Pipeline

35-50% of your time is spent debugging. What else would you do with it?

See the Docs

Speed from research to production 🚀

Conducto's data pipeline platform supercharges devs and data scientists, so they can develop more insights and bring them to market faster.

Use Cases

Time-series analysis

Analyze historical stock market data to build and backtest predictive models.

Record data

Join customer and transaction data to predict customer churn.

Image analysis

Train classifiers on image data, and apply trained models to many images in parallel.

Computational biology

Notebook-style exploration of gene data. Run different clustering algorithms in parallel and compare results.

Reproduce errors in a click

Pipeline commands run in Docker containers. Click "Debug" to start one interactively, with the same code, libraries, and data as in your pipeline.

Debug with your local code

Conducto mounts your workspace into the debug container. Save code in your editor and try it out instantly. No git commits. No syncs. No extra steps at all.

Update pipeline and continue

When you've fixed the bug, click "Build" to update the pipeline's Docker image with your latest code. Click "Retry" to run this step again, and watch it succeed.

Featured Integrations

GitHub

GitHub

Kubernetes

Kubernetes

Slack

Slack

Stop coding on eggshells. Get to the fun part.

Try it free