Pipelines Alternatives
Similar projects and alternatives to pipelines
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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fashion-mnist-kfp-lab
A notebook showing how to easily convert a current notebook you have to a notebook that can be run on Kubeflow Pipelines.
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deployKF
deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
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soopervisor
☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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community
Information about the Kubeflow community including proposals and governance information. (by kubeflow)
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pipelines reviews and mentions
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Putting an ML model into production using Feast and Kubeflow on Azure (Part I)
Kubeflow Pipelines comes with a pre-defined KFServing component which can be imported from the GitHub repo and reused across the pipelines without the need to define it every time. KFServing is Kubeflow's solution for "productionizing" your ML models and works with a lot of frameworks like Tensorflow, sci-kit, and PyTorch among others.
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Machine Learning Orchestration on Kubernetes using Kubeflow
You can run the notebook from the dashboard and create the pipeline. Please note, in Kubeflow v1.2, there is an issue causing RBAC: permission denied error while connecting to the pipeline. This will be fixed in v1.3 and you can read more about the issue here. As a workaround, you need to create Istio ServiceRoleBinding and EnvoyFilter to add an identity in the header. Refer this gist for the patch.
Stats
kubeflow/pipelines is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of pipelines is Python.
