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Dagster

Data orchestration platform for building observable data pipelines

AI InfrastructureFounded 2018#16 of 55 in AI Infrastructure

Updated May 29, 2026

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Company profile

What is Dagster?

Dagster provides a data orchestration platform that helps data teams define, develop, and operate robust, observable data pipelines. It focuses on developer productivity and data quality, making it easier to build and manage complex data workflows for machine learning and analytics. Its significance lies in streamlining the MLOps lifecycle by ensuring reliable data delivery and lineage.

Company research

As of May 18, 2026
  1. Hacker News mentions increased 366.7% over the last 30 days. Hacker News is discussion volume, not adoption.

Source check
Standard. Use as a directional reading from retained source data.
Sources
Metric data from one provider.

History

Research history

3 research updates

Ai Infrastructure

Dagster: Hacker News mentions increased 366.7% over the last 30 days

Latest
Ai Infrastructure

Dagster: Hacker News mentions increased 1100% over the last 30 days

1 metric
Ai Infrastructure

Dagster: Hacker News mentions increased 700% over the last 30 days

1 metric

Latest company data

Primary data point

Downloads

7.1M/30d

Tracked package: PyPI dagster

▲ +17%Updated 1d ago

Other data points

Dependent projects

322

Projects depending on tracked package: PyPI dagster

Updated 10h ago

GitHub stars

15.6K

Main repository stars

Updated 10h ago

Hacker News

14/30d

Position #16 in category discussion

Updated 10h ago

Repository health

Maintenance data from the main open-source repository.

OpenSSF Scorecard
4.8
Key-person risk
1
External contributors
60
% of recent contributors outside the core team
Releases (30d)
0

Repository usage

Public repositories and source files importing packages tied to Dagster.

Repos importing
2860%

About Dagster

Dagster provides a data orchestration platform that helps data teams define, develop, and operate robust, observable data pipelines. It focuses on developer productivity and data quality, making it easier to build and manage complex data workflows for machine learning and analytics. Its significance lies in streamlining the MLOps lifecycle by ensuring reliable data delivery and lineage.

FoundersNick Schrock, Pete Hunt

Funding

$50M · 3 rounds

Raised $50M total. Category position #16 of 55 in AI Infrastructure.

Series B2023

Georgian

$33M
Series A2021

Sequoia Capital

$14M
Seed2019

Amplify Partners

$3M

Investors

Amplify PartnersGeorgianSequoia Capital

Tracked packages (1)

1 PyPI

dagster

PyPIMain PyPI package

dagster

Data orchestration platform for building observable data pipelines