Codelessly connect your site to your stack. Automate tedious work so engineering can focus on product. It integrates your marketing and analytics tools with one click. | It is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports. |
Automatically instrument your site or app; Send data to 100+ marketing & analytics tools in one click; Backfill data into new tools; Retroactive data for new events | Manage your data assets with code;
A single pane of glass for your data platform;
From pull request to production. Effortlessly;
Monitor runs across all your jobs in one place with the run timeline view |
Statistics | |
GitHub Stars - | GitHub Stars 14.3K |
GitHub Forks - | GitHub Forks 1.9K |
Stacks 10 | Stacks 29 |
Followers 27 | Followers 17 |
Votes 0 | Votes 0 |
Integrations | |

Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.

Tag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track user behavior across your sites and apps, and the intuitive design lets you change tags whenever you want.

RudderStack allows you to easily build pipelines connecting your whole customer data stack, then make them smarter by pulling analysis from your data warehouse to trigger enrichment and activation in customer tools.

Astro is the modern data orchestration platform, powered by Apache Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code.

A code-generated, type-safe tracking library to accurately implement analytics events that are defined and maintained in a single-source-of-truth web app. Built to optimize the experience of maintaining and version controlling complicated event schemas.

The leader in collaborative data cataloging, it empowers analysts & information stewards to search, query & collaborate for fast and accurate insights.

Iteratively helps teams capture reliable product analytics they can trust. It eliminates the most common causes of error during the definition and implementation of tracking plans, and cuts down on the time it takes to correctly instrument the product. As a result, folks that consume product analytics get exactly what they spec'd out and can rely on the incoming data knowing it is trustworthy and accurate.

It is an open-source data infrastructure to keep customer data in-sync between your data warehouse and 3rd party tools.