Open Source Linux Data Analytics Tools

x
Sort By:

Data Analytics Tools for Linux

View 20 business solutions
Data Analytics Linux Data Formats Clear Filters

Browse free open source Data Analytics tools and projects for Linux below. Use the toggles on the left to filter open source Data Analytics tools by OS, license, language, programming language, and project status.

  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • Save Up to 91% on Cloud Compute With Spot VMs Icon
    Save Up to 91% on Cloud Compute With Spot VMs

    Automatic sustained-use discounts. One free VM per month. No negotiation needed.

    Run batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
    Start Free
  • 1
    A framework for image analysis and data analysis, aimed towards microscopy and the needs of current research.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    LMS Tools is a set of tools and libraries for administrators and users of learning management systems to perform, for example, portal integration, LMS management or usage data analysis.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Pandas Profiling

    Pandas Profiling

    Create HTML profiling reports from pandas DataFrame objects

    pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase, separator), scripts (Latin, Cyrillic) and blocks (ASCII, Cyrilic). File sizes, creation dates, dimensions, indication of truncated images and existance of EXIF metadata. Mostly global details about the dataset (number of records, number of variables, overall missigness and duplicates, memory footprint). Comprehensive and automatic list of potential data quality issues (high correlation, skewness, uniformity, zeros, missing values, constant values, between others).
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    A tool for autonomous and virtual topical data integration using the focused web-harvesting method.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
    Start Free
  • Previous
  • You're on page 1
  • Next
veeam logo