Understanding the MLOps Lifecycle

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  1. examples

    TensorFlow examples (by tensorflow)

    Popular tools for model development are TensorFlow, MLFlow, and PyTorch.

  2. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

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  3. Jenkins

    Jenkins automation server

    Some popular CI/CD tools are GitHub Actions, Jenkins, GitLab CI, and Azure DevOps.

  4. Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Popular tools for model development are TensorFlow, MLFlow, and PyTorch.

  5. prometheus

    The Prometheus monitoring system and time series database.

    Some popular tools for model monitoring include MLFlow, Grafana, and Prometheus.

  6. neptune-client

    📘 The experiment tracker for foundation model training

    Some tools for model validation include Neptune AI, Kolena, and Censius.

  7. MLflow

    Open source platform for the machine learning lifecycle

    Popular tools for model development are TensorFlow, MLFlow, and PyTorch.

  8. Grafana

    The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

    Some popular tools for model monitoring include MLFlow, Grafana, and Prometheus.

  9. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  10. vertex-ai-samples

    Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

    Based on your technological stack, various services are used to deploy machine learning models. Some popular services are AWS Sagemaker, Azure Machine Learning, Vertex AI, and many others.

  11. 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.

    Some popular tools for data extraction are Airbyte, Fivetran, Hevo Data, and many more.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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