Open-Source Tools for Data Science Part 1.

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  1. Open-Source Data Management Tools:

    • Relational databases: MySQL, PostgreSQL
    • NoSQL Databases: MongoDB, Apache CouchDB, Apache Cassandra
    • File-based tools: Hadoop File System, Cloud File systems like Ceph
    • Elastic search tool for storing text data and creating search indexes

  2. Open-Source Data Integration and Transformation Tools:

    • Apache AirFlow
    • KubeFlow
    • Apache Kafka
    • Apache Nifi
    • Apache SparkSQL
    • NodeRED

  3. Open-Source Data Visualization Tools:

    • Pixie Dust (with a user interface for plotting in Python)
    • Hue (creates visualizations from SQL queries)
    • Kibana (limited to Elasticsearch data provider)
    • Apache Superset (data exploration and visualization web application)

  4. Model Tools for Building, Deployment, Monitoring, and Assessment:

    • Model Deployment Tools:

      • Apache PredictionIO (supports Apache Spark ML models)
      • Seldon (supports various frameworks, runs on Kubernetes and Redhat OpenShift)
      • MLeap (specifically for deploying SparkML models)
      • TensorFlow service, TensorFlow lite, TensorFlow dot JS (for serving TensorFlow models)

    • Model Monitoring Tools:

      • ModelDB (machine model metadata base)
      • Prometheus (widely used, not specifically for model monitoring)
      • IBM AI Fairness 360 (detects and mitigates bias in models)
      • IBM Adversarial Robustness 360 Toolbox (detects vulnerability against adversarial attacks)
      • IBM AI Explainability 360 (addresses the interpretability of models)

  5. Code and Data Asset Management Tools:

    • Code Asset Management Tools:
      • Git (de facto standard for version control)
      • GitHub, GitLab, Bitbucket (services around Git)
    • Data Asset Management Tools:
      • Apache Atlas (supports versioning and metadata annotation)
      • ODPi Egeria (an open ecosystem with APIs for metadata repositories)
      • Kylo (an open-source data management software platform with extensive data asset management support)* * We have learned about a wide range of open-source tools across different categories, empowering them with options for data management, integration, visualization, model building, deployment, monitoring, assessment, code asset management, and data asset management.

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