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Utility functions for using the Salesforce Data Cloud API
Simple and fast to implement: best practices and conventions in salesforce development. That includes reasons and examples. Your contribution will be welcome.
A lightweight VS Code extension that makes documenting your Salesforce Apex files an easy, integrated experience.
Salesforce Flow to PlantUML VS Code extension
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Chrome extension to add a metadata layout on top of the standard Salesforce UI to improve the productivity and joy of Salesforce configuration, development, and integration.
Greenlight is an open-source client for xCloud and Xbox home streaming made in Typescript.
An open-source library that takes the repetitive and complex tasks and simplifies them, enabling you to get the most out of Salesforce Marketing Cloud.
How to survive as a developer for Salesforce Marketing Cloud
Source code for Django For Beginners, Fifth Edition.
Cookiecutter Django Vue is a template for Django-Vue projects.
A very simple Salesforce.com REST API client for Python
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
Automatic Human Head Shake Counter using Facial Landmarks and peak detection
Source code for 'Developing Data Migrations and Integrations with Salesforce' by David Masri
SFDMU is a cutting-edge Salesforce data migration tool for seamless org population from other orgs or CSV files. It handles all CRUD operations on multiple related objects in one go.
The SFDMU GUI Desktop Application is a comprehensive tool for Salesforce data migration between SF environments or importing/exporting CSV data into SF environments. It builds upon the capabilities…
Intake is a lightweight package for finding, investigating, loading and disseminating data.
Python interface to the Salesforce.com Bulk API
Python framework for building portable automation for Salesforce projects
A tool for generating fake data that has relations between tables.
A curated list of practical financial machine learning tools and applications.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…