JSON vs. JavaScript vs. Phylum vs. TaffyDB Comparison Chart

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. JSON is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.

Phylum defends applications at the perimeter of the open-source ecosystem and the tools used to build software. Its automated analysis engine scans third-party code as soon as it’s published into the open-source ecosystem to vet software packages, identify risks, inform users and block attacks. Think of Phylum like a firewall for open-source code. Phylum’s database of open-source software supply chain risks is the most comprehensive and scalable offering available, and can be deployed throughout the development lifecycle depending on an organization’s infrastructure and appsec program maturity: in front of artifact repository managers, directly with package managers or in CI/CD pipelines. The Phylum policy library allows users to toggle on the blocking of critical vulnerabilities, attacks like typosquats, obfuscated code and dependency confusion, copyleft licenses, and more. Users can also leverage OPA to create custom policies.