mlrun
Prefect
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| mlrun | Prefect | |
|---|---|---|
| 3 | 19 | |
| 1,287 | 14,512 | |
| 5.5% | 2.7% | |
| 9.9 | 9.9 | |
| 2 days ago | 6 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mlrun
- Discussion on Need of Feature Stores
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I reviewed 50+ open-source MLOps tools. Here’s the result
You should also add MLRun: https://github.com/mlrun/mlrun
- Has anyone here been able to deploy Mlrun successfully on Kubernetes cluster?
Prefect
- Prefect: A workflow orchestration tool for data pipelines
- self hosted Alternative to easycron.com?
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Example typescript project repos?
If I was answering this question but for python, I'd recommend something like prefect, boto3, or tortoise-orm -- not extremely complex and with a pretty comprehensible featureset.
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I have developed a simple Task Orchestrator
However, if you are looking for something like this, but much more mature and something of a bloat to be frank, there's Prefect. Honestly, woflo borrows a lot from Prefect conceptually.
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Dabbling with Dagster vs. Airflow
Disclaimer: I work for Prefect.
It looks like we added cron and other schedule types to the deployment CLI just under a month ago[1].
Over the last couple of releases, we've also made it easier to pull deployments from GitHub or bake your flow code into Docker images instead of needing S3-like storage.
As with any product, there's always more to do, so I appreciate you sharing your thoughts. More than anywhere else I've worked, community feedback is a huge driver of product enhancements and feature development. Feel free to join our Slack community[2] if you'd like to share more feedback or ask questions.
[1] https://github.com/PrefectHQ/prefect/blob/main/RELEASE-NOTES...
- Prefect - The easiest way to automate your data
- Ask HN: Codebases with great, easy to read code?
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Prefect CLI Action
GitHub Action for running Prefect commands using the Prefect CLI.
- Perfect – Data workflow automation with Python
What are some alternatives?
feast - Feature Store for Machine Learning
dagster - An orchestration platform for the development, production, and observation of data assets.
dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD
APScheduler - Task scheduling library for Python
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
SmartSim - SmartSim Infrastructure Library.
schedule - Python job scheduling for humans.
phidata - Build AI Assistants with function calling and connect LLMs to external tools.
doit - task management & automation tool
mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
django-schedule - A calendaring app for Django. It is now stable, Please feel free to use it now. Active development has been taken over by bartekgorny.