Showing 6 open source projects for "most"

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  • Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud Icon
    Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud

    Get back to your application and leave the database to us. Cloud SQL automatically handles backups, replication, and scaling.

    Cloud SQL is a fully managed relational database for MySQL, PostgreSQL, and SQL Server. We handle patching, backups, replication, encryption, and failover—so you can focus on your app. Migrate from on-prem or other clouds with free Database Migration Service. IDC found customers achieved 246% ROI. New customers get $300 in credits plus a 30-day free trial.
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  • Ship AI Apps Faster with Vertex AI Icon
    Ship AI Apps Faster with Vertex AI

    Go from idea to deployed AI app without managing infrastructure. Vertex AI offers one platform for the entire AI development lifecycle.

    Ship AI apps and features faster with Vertex AI—your end-to-end AI platform. Access Gemini 3 and 200+ foundation models, fine-tune for your needs, and deploy with enterprise-grade MLOps. Build chatbots, agents, or custom models. New customers get $300 in free credit.
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  • 1
    Panda-Helper

    Panda-Helper

    Panda-Helper: Data profiling utility for Pandas DataFrames and Series

    Panda-Helper is a simple data-profiling utility for Pandas DataFrames and Series. Assess data quality and usefulness with minimal effort. Quickly perform initial data exploration, so you can move on to more in-depth analysis.
    Downloads: 0 This Week
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  • 2
    Swiple

    Swiple

    Swiple enables you to easily observe, understand, validate data

    ...Experience hassle-free integration with Swiple's zero-infrastructure and zero-code setup. Seamlessly incorporate data quality checks into your existing workflows without any coding or infrastructure changes, allowing you to focus on what matters most - your data. Save engineers weeks of time generating data quality checks. Swiple analyzes your dataset and builds data quality checks based on what is observed in your data. You just pick the ones you want.
    Downloads: 0 This Week
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  • 3
    NYCOpenData-Profiling-Analysis

    NYCOpenData-Profiling-Analysis

    Open Data Profiling, Quality and Analysis on NYC OpenData dataset

    Open data often comes with little or no metadata. You will profile a large collection of open data sets and derive metadata that can be used for data discovery, querying, and identification of data quality problems. For each column, identify and summarize the semantic types present in the column. These can be generic types (e.g., city, state) or collection-specific types (NYU school names, NYC agency). For each semantic type T identified, enumerate all the values encountered for T in all...
    Downloads: 0 This Week
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  • 4
    DataCleaner

    DataCleaner

    Data quality analysis, profiling, cleansing, duplicate detection +more

    DataCleaner is a data quality analysis application and a solution platform for DQ solutions. It's core is a strong data profiling engine, which is extensible and thereby adds data cleansing, transformations, enrichment, deduplication, matching and merging. Website: http://datacleaner.github.io
    Downloads: 12 This Week
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  • Go from Data Warehouse to Data and AI platform with BigQuery Icon
    Go from Data Warehouse to Data and AI platform with BigQuery

    Build, train, and run ML models with simple SQL. Automate data prep, analysis, and predictions with built-in AI assistance from Gemini.

    BigQuery is more than a data warehouse—it's an autonomous data-to-AI platform. Use familiar SQL to train ML models, run time-series forecasts, and generate AI-powered insights with native Gemini integration. Built-in agents handle data engineering and data science workflows automatically. Get $300 in free credit, query 1 TB, and store 10 GB free monthly.
    Try BigQuery Free
  • 5
    Roomba

    Roomba

    A Node.js tool to examine the correctness of Open Data Metadata

    ...This approach applies several techniques to check the validity of the attached metadata as well as providing descriptive and statistical information of a certain dataset as well as a whole data portal. Using our framework on prominent data portals shows that the general state of the Linked Open Data needs attention as most of datasets suffer from bad quality metadata and lack additional informative metrics.
    Downloads: 0 This Week
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  • 6
    COBOL Data Definitions
    Parse, analyze and -- most importantly -- use COBOL data definitions. This gives you access to COBOL data from Python programs. Write data analyzers, one-time data conversion utilities and Python programs that are part of COBOL systems. Really.
    Downloads: 0 This Week
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