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n

nsakovich

npm

Packages

Current Co-maintainers

Former Co-maintainers

24 packages

@codefresh-io/audit

Receive and collect audit logs

@codefresh-io/authenticated-entity

@codefresh-io/cf-common

common modules for codefresh runtime and api

@codefresh-io/cf-git-providers

An NPM module/CLI for interacting with various git providers

@codefresh-io/cf-openapi

#### Main goals:

@codefresh-io/cf-openapi-validator

Purpose: 1) lint `openapi.json` 2) validate on `ci` whether endpoints are correctly generated through `cf-openapi` package

@codefresh-io/cf-receiver

@codefresh-io/cf-variable-resolver

variable resolver

@codefresh-io/codefresh-2.0-icons-font

Codefresh v2 icons font

@codefresh-io/docker-compose-environment

a representation of an environment spinned up with docker-compose

@codefresh-io/docker-reference

A node.js package to parse docker image reference

@codefresh-io/eventbus

```TS const eventbus = require('cf-eventbus');

@codefresh-io/google-auto-auth

Making it as easy as possible to authenticate a Google API request

@codefresh-io/http-infra

@codefresh-io/internal-service-config

This package provides all internal services names and their configurations.

@codefresh-io/kube-integration

* The example will print all service in default namespace and create mongo `Project` (Read more about project below) * Obtain cluster credentials: * Run `export CURRENT_CONTEXT=$(kubectl config current-context) && export CURRENT_CLUSTER=$(kubectl conf

@codefresh-io/pipeline-autobot

Generate yaml depend on repo context

@codefresh-io/registries-credentials

@codefresh-io/service-base

@codefresh-io/task-logger

Codefresh utilities for working with build logs

@codefresh-io/test-utils

@codefresh-io/tevale

Tevale is the tiny evaluator of expressions, which accepts a set of variables (named objects with properties) and an expression, validates its syntax and evaluates the expression.

@codefresh-io/yaml-validator

An NPM module/CLI for validating the Codefresh YAML

remote-backend

In some casese you don't want (or can't) to run all your project backend locally. Instead of it you prefer to use production server or any other environment as backend. It happens when you want to debug any complex issue which happens only for specific cu