dagster-example-pipeline VS mlrun

Compare dagster-example-pipeline vs mlrun and see what are their differences.

dagster-example-pipeline

Template Dagster repo using poetry and a single Docker container; works well with CICD (by MileTwo)
dagster Poetry Python Data Science data-engineering
Source Code
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mlrun

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications. (by mlrun)
Mlops Python Data Science Machine Learning data-engineering experiment-tracking model-serving mlops-workflow Workflow Kubernetes
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mlrun.org
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dagster-example-pipeline mlrun
1 3
64 1,301
- 4.7%
0.0 9.9
about 2 years ago 4 days ago
Python Python
Apache License 2.0 Apache License 2.0
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dagster-example-pipeline

Posts with mentions or reviews of dagster-example-pipeline. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-25.

mlrun

Posts with mentions or reviews of mlrun. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-28.

What are some alternatives?

When comparing dagster-example-pipeline and mlrun you can also consider the following projects:

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

feast - Feature Store for Machine Learning

AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

SmartSim - SmartSim Infrastructure Library.

canarypy - CanaryPy - A light and powerful canary release for Data Pipelines

phidata - Add memory, knowledge and tools to LLMs

portable-data-stack-dagster - A portable Datamart and Business Intelligence suite built with Docker, Dagster, dbt, DuckDB, PostgreSQL and Superset

mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

aws-data-wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL). [Moved to: https://github.com/aws/aws-sdk-pandas]

ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

dagster-example-pipeline vs Apache Superset mlrun vs feast dagster-example-pipeline vs AWS Data Wrangler mlrun vs flyte dagster-example-pipeline vs Prefect mlrun vs SmartSim dagster-example-pipeline vs canarypy mlrun vs phidata dagster-example-pipeline vs portable-data-stack-dagster mlrun vs mosec dagster-example-pipeline vs aws-data-wrangler mlrun vs ploomber