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1,369–1,392 of 1,888 · Most stars

A command line tool and node package to convert markdown files into self-contained impressjs html presentations

A drop-in replacement for Go errors, with some added sugar! Unwrap user-friendly messages, HTTP status code, easy wrapping with multiple error types.

  • error-handling
  • errors
  • go
  • golang

Fast detection of repackaged Android applications based on the comparison of resource files included into the package.

  • android
  • android-security
  • repackaging-detection
  • java

automate the GetIt package manager for RAD Studio (Delphi) by calling the command-line tool

  • delphi
  • getit
  • delphi-11
  • delphi-12

Flare is a lightweight, developer-friendly Swift framework that simplifies working with in-app purchases. It provides a clean, unified API over StoreKit and StoreKit 2, includes async/await-ready workflows, and offers built-in UI components for a seamless integration experience.

  • iap
  • in-app-purchases
  • macos
  • swift

TurboPack OnGuard VCL is a library to create demo versions of your Embarcadero Delphi and C++Builder VCL applications.

A Go package for n-gram based text categorization, with support for utf-8 and raw text

Fragscapy is a command-line tool to fuzz network protocols by automating the modification of outgoing network packets. It can run multiple successive tests to determine which options can be used to evade firewalls and IDS.

A test-friendly replacement for golang's time package [managed by soy-programador]

Package netbug provides a handler for registering profilers on your own ServeMux.

This Delphi code library lets you model structured data and serialize to/from : CBOR, JSON, MessagePack msgpack.org[Delphi], ION, UBJSON, BSON, Smile, DataObj, etc.

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.