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    Scanned: 2 days ago

    Data Analysis

    1.0.17
    latest
    AI data analysis and visualization powered by CellCog. Data cleaning, exploratory analysis, hypothesis testing, statistical reports, ML model evaluation, dataset profiling, charts, dashboards. Upload CSVs and get analysis back with full Python access.
    License: Permissive (MIT-0)
    New!
    Published: 3 days ago
    Owner: @cellcog
    See on ClawHub

    SAFE Assessment

    Compliance

    Licenses
    No license compliance issues
    Secrets
    No sensitive information found

    Security

    Vulnerabilities
    No known vulnerabilities detected
    Hardening
    No application hardening issues

    Threats

    Tampering
    No evidence of software tampering
    Malware
    No evidence of malware inclusion
    Overviewissues0vulnerabilities0malware0behaviors1dependencies0contributors1versions17

    FAQ for Data Analysis

    What is Data Analysis?

    AI data analysis and visualization powered by CellCog. Data cleaning, exploratory analysis, hypothesis testing, statistical reports, ML model evaluation, dataset profiling, charts, dashboards. Upload CSVs and get analysis back with full Python access.

    Is Data Analysis malicious or is it safe to use?

    The ClawHub package Data Analysis was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. No risks were detected, therefore, this version of the package is currently considered as safe to use. Caution is advised as this package is still in review by ReversingLabs threat researchers for inclusion of novel supply chain threats.

    Is Data Analysis popular?

    The ClawHub package Data Analysis ranks among the top 10000 projects in this community. It has 4K recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

    How do I secure Data Analysis once it is in my app?

    Since we can't know when or where malicious attacks will happen, we recommend tracking how Data Analysis behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a Data Analysis version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.

    Did you know...

    ... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

    We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.