Standard Subresource Integrity library -- parses, serializes, generates, and verifies integrity metadata according to the SRI spec.
Webpack plugin for enabling Subresource Integrity
Confidently remove secrets and sensitive values from unstructured objects.
The official MongoDB driver for Node.js
A bson parser for node.js and the browser
Fast, fault-tolerant, cross-platform, disk-based, data-agnostic, content-addressable cache.
Microsoft Application Insights Web Snippet
[](https://github.com/mongodb-js/zstd/actions/workflows/test.yml)
JavaScript package downloader
A native module that helps assert app integrity on mobile platforms
Require scripts and styles to use Subresource Integrity
definitions for some of vlt's core types
Official client encryption module for the MongoDB Node.js driver
Scroll-to-scrub video web component
Subresource Integrity hashes for the Vite.js manifest.
Data Integrity Proof library for use with jsonld-signatures.
High-performance ESLint/Oxlint plugin that catches dead code, broken imports, and architectural violations. Optimized for monorepos.
Fetch package artifacts and metadata from registries
React Native package which bridges Andoird Play Integrity API and iOS App Attest
Ergonomic Framework for Human
Jscrambler Code Integrity API client.
Data hygiene for music PR — scrub, rinse, soak, steep your contact lists
Meridian plugin: strip opencode-identifying fingerprints from the system prompt before it reaches Claude.
Generates SRI hashes for html files
Scrub dm-integrity volumes
IO layer for frankenpandas: CSV, JSON, JSONL, Parquet, ORC, HDF5, Excel, Feather, Arrow IPC, Pickle, Stata, SQL (SqlConnection with SQLite default backend).
Merge and join engine (AG-05 leapfrog triejoin) for fp-frame DataFrames — inner / left / right / outer joins with index alignment.
Differential conformance harness for frankenpandas against a live pandas oracle — packet fixtures + fuzz seed tests + live-oracle parity gates.
Clean-room Rust reimplementation of the pandas API — DataFrame, Series, GroupBy, Rolling, Resample, MultiIndex, 8 IO formats. Zero unsafe.
Columnar storage primitives (Column, ValidityMask) for pandas-parity dataframes — the storage layer behind fp-frame.
GroupBy engine for fp-frame with dense-key / arena-backed / hash-map execution paths.
Core Scalar, DType, NullKind primitives for the frankenpandas workspace — the universal type system behind fp-frame.
DataFrame and Series with pandas-API parity, AACE index alignment, and GroupBy / Rolling / Resample integration.
Flat and multi-level row index types (Index, MultiIndex) for pandas-parity dataframes.
Expression evaluation / query parser for fp-frame DataFrames — pandas df.eval / df.query parity.
Runtime policies, evidence ledgers, and asupersync interop for the frankenpandas execution layer.