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    failRisk: Vulnerabilities
    Scanned: about 11 hours ago

    langchain-experimental

    Artifact:
    latest
    Building applications with LLMs through composability
    License: Permissive (MIT)
    Published: 5 months ago
    Visit GitHub
    See on PyPI

    SAFE Assessment

    Compliance

    Licenses
    No license compliance issues
    Secrets
    No sensitive information found

    Security

    Vulnerabilities
    3 severe vulnerabilities exploited
    Hardening
    No application hardening issues

    Threats

    Tampering
    No evidence of software tampering
    Malware
    No evidence of malware inclusion
    Overviewissues3vulnerabilities3malware0behaviors42dependencies2contributors1versions79

    FAQ for langchain-experimental

    What is langchain-experimental?

    Building applications with LLMs through composability.

    Is langchain-experimental malicious or is it safe to use?

    The Python package langchain-experimental was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. The package contains risks, and the analysis results should be reviewed before it is downloaded and used. Visit the Issues and Behaviors sections of the analysis for more details.

    Is langchain-experimental popular?

    The Python package langchain-experimental ranks among the top 10000 projects in this community. It has 58M 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 langchain-experimental once it is in my app?

    Since we can't know when or where malicious attacks will happen, we recommend tracking how langchain-experimental behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a langchain-experimental 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.