
DataEngineeringPilipinas
Data Engineering Pilipinas is a community for data engineers, data analysts, data scientists, developers, AI / ML engineers, and users of closed and open source data tools and methods / techniques in the Philippines. Data Engineering Pilipinas is a PyData group.
Stars: 128

DataEngineeringPilipinas is a repository dedicated to data engineering resources in the Philippines. It serves as a platform for data engineering professionals to contribute and access high-quality content related to data engineering. The repository provides guidelines for contributing, including forking the repository, making changes, and submitting contributions. It emphasizes the importance of quality, relevance, and respect in the contributions made to the project. By following the guidelines and contributing to the repository, users can help build a valuable resource for the data engineering community in the Philippines and beyond.
README:
Landing page for dataengineering.ph
Welcome to the Data Engineering Pilipinas Quarto website project! We're excited to have you contribute to our growing repository of data engineering resources. To ensure a smooth contribution process for everyone, please follow these guidelines.
-
Fork the Repository: Start by forking the main repository to your GitHub account. This creates your own copy of the project where you can make changes.
-
Clone Your Fork: Clone your forked repository to your local machine using Git. This allows you to work on the files locally.
git clone https://github.com/yourusername/DataEngineeringPilipinas.git
-
Set Upstream Remote: Add the original repository as an upstream remote to your local clone. This helps you to keep your fork up to date.
git remote add upstream https://github.com/ogbinar/DataEngineeringPilipinas.git
-
Create a New Branch: Always work on a new branch for your changes. This keeps your contributions organized and separate from the main branch.
git checkout -b feature/your-new-feature-name
-
Add Your Content: Make your changes or additions to the project. If you're adding new content, ensure it's placed in the correct directory and follows the Quarto formatting guidelines.
-
Commit Your Changes: After making your changes, commit them to your branch. Use clear and concise commit messages to describe your updates.
git add . git commit -m "Add a brief description of your changes"
-
Keep Your Fork Updated: Regularly sync your fork's main branch with the upstream repository to keep it up to date. This reduces potential merge conflicts.
git fetch upstream git checkout main git merge upstream/main git push origin main
-
Push Your Changes: Push your changes to your fork on GitHub.
git push origin feature/your-new-feature-name
-
Create a Pull Request (PR): Go to the original Data Engineering Pilipinas repository on GitHub and create a new pull request. Base your PR on your feature branch and target the main branch of the upstream repository.
-
Describe Your Contribution: Provide a clear and detailed description of your pull request. Include the purpose of your changes and any other relevant information.
-
Review and Collaboration: Once your PR is submitted, the project maintainers will review your contributions. Be open to feedback and ready to make additional changes if requested.
- Quality: Ensure your contributions are of high quality, with no spelling or grammatical errors.
- Relevance: Content should be relevant to data engineering and beneficial to the community.
- Respect: Respect the structure and formatting of the existing project. Follow Quarto and Markdown formatting standards.
Thank you for contributing to the Data Engineering Pilipinas Quarto website. Your efforts help make our community a richer and more informative space for data engineering professionals in the Philippines and beyond!
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for DataEngineeringPilipinas
Similar Open Source Tools

DataEngineeringPilipinas
DataEngineeringPilipinas is a repository dedicated to data engineering resources in the Philippines. It serves as a platform for data engineering professionals to contribute and access high-quality content related to data engineering. The repository provides guidelines for contributing, including forking the repository, making changes, and submitting contributions. It emphasizes the importance of quality, relevance, and respect in the contributions made to the project. By following the guidelines and contributing to the repository, users can help build a valuable resource for the data engineering community in the Philippines and beyond.

local_multimodal_ai_chat
Local Multimodal AI Chat is a hands-on project that teaches you how to build a multimodal chat application. It integrates different AI models to handle audio, images, and PDFs in a single chat interface. This project is perfect for anyone interested in AI and software development who wants to gain practical experience with these technologies.

rustcrab
Rustcrab is a repository for Rust developers, offering resources, tools, and guides to enhance Rust programming skills. It is a Next.js application with Tailwind CSS and TypeScript, featuring real-time display of GitHub stars, light/dark mode toggling, integration with daily.dev, and social media links. Users can clone the repository, install dependencies, run the development server, build for production, and deploy to various platforms. Contributions are encouraged through opening issues or submitting pull requests.

AutoGroq
AutoGroq is a revolutionary tool that dynamically generates tailored teams of AI agents based on project requirements, eliminating manual configuration. It enables users to effortlessly tackle questions, problems, and projects by creating expert agents, workflows, and skillsets with ease and efficiency. With features like natural conversation flow, code snippet extraction, and support for multiple language models, AutoGroq offers a seamless and intuitive AI assistant experience for developers and users.

aiCoder
aiCoder is an AI-powered tool designed to streamline the coding process by automating repetitive tasks, providing intelligent code suggestions, and facilitating the integration of new features into existing codebases. It offers a chat interface for natural language interactions, methods and stubs lists for code modification, and settings customization for project-specific prompts. Users can leverage aiCoder to enhance code quality, focus on higher-level design, and save time during development.

AutoGPT
AutoGPT is a revolutionary tool that empowers everyone to harness the power of AI. With AutoGPT, you can effortlessly build, test, and delegate tasks to AI agents, unlocking a world of possibilities. Our mission is to provide the tools you need to focus on what truly matters: innovation and creativity.

doc2plan
doc2plan is a browser-based application that helps users create personalized learning plans by extracting content from documents. It features a Creator for manual or AI-assisted plan construction and a Viewer for interactive plan navigation. Users can extract chapters, key topics, generate quizzes, and track progress. The application includes AI-driven content extraction, quiz generation, progress tracking, plan import/export, assistant management, customizable settings, viewer chat with text-to-speech and speech-to-text support, and integration with various Retrieval-Augmented Generation (RAG) models. It aims to simplify the creation of comprehensive learning modules tailored to individual needs.

latitude-llm
Latitude is an open-source prompt engineering platform that helps developers and product teams build AI features with confidence. It simplifies prompt management, aids in testing AI responses, and provides detailed analytics on request performance. Latitude offers collaborative prompt management, support for advanced features, version control, API and SDKs for integration, observability, evaluations in batch or real-time, and is community-driven. It can be deployed on Latitude Cloud for a managed solution or self-hosted for control and customization.

ChatGPT-Shortcut
ChatGPT Shortcut is an AI tool designed to maximize efficiency and productivity by providing a concise list of AI instructions. Users can easily find prompts suitable for various scenarios, boosting productivity and work efficiency. The tool offers one-click prompts, optimization for non-English languages, prompt saving and sharing, and a community voting system. It includes a browser extension compatible with Chrome, Edge, Firefox, and other Chromium-based browsers, as well as a Tampermonkey script for custom domain use. The tool is open-source, allowing users to modify the website's nomenclature, usage directives, and prompts for different languages.

LangGraph-learn
LangGraph-learn is a community-driven project focused on mastering LangGraph and other AI-related topics. It provides hands-on examples and resources to help users learn how to create and manage language model workflows using LangGraph and related tools. The project aims to foster a collaborative learning environment for individuals interested in AI and machine learning by offering practical examples and tutorials on building efficient and reusable workflows involving language models.

DevDocs
DevDocs is a platform designed to simplify the process of digesting technical documentation for software engineers and developers. It automates the extraction and conversion of web content into markdown format, making it easier for users to access and understand the information. By crawling through child pages of a given URL, DevDocs provides a streamlined approach to gathering relevant data and integrating it into various tools for software development. The tool aims to save time and effort by eliminating the need for manual research and content extraction, ultimately enhancing productivity and efficiency in the development process.

Open_Data_QnA
Open Data QnA is a Python library that allows users to interact with their PostgreSQL or BigQuery databases in a conversational manner, without needing to write SQL queries. The library leverages Large Language Models (LLMs) to bridge the gap between human language and database queries, enabling users to ask questions in natural language and receive informative responses. It offers features such as conversational querying with multiturn support, table grouping, multi schema/dataset support, SQL generation, query refinement, natural language responses, visualizations, and extensibility. The library is built on a modular design and supports various components like Database Connectors, Vector Stores, and Agents for SQL generation, validation, debugging, descriptions, embeddings, responses, and visualizations.

azure-search-openai-demo
This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval. The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.

WriteNow
Write Now is an all-in-one writing assistant that helps users elevate their text with features like proofreading, rewriting, friendly and professional tones, concise mode, and custom AI server configuration. It prioritizes user privacy and offers a Lite Edition for trial purposes. Users can install Write Now through the Havoc Store and configure AI server endpoints for enhanced functionality.

Smart-Connections-Visualizer
The Smart Connections Visualizer Plugin is a tool designed to enhance note-taking and information visualization by creating dynamic force-directed graphs that represent connections between notes or excerpts. Users can customize visualization settings, preview notes, and interact with the graph to explore relationships and insights within their notes. The plugin aims to revolutionize communication with AI and improve decision-making processes by visualizing complex information in a more intuitive and context-driven manner.

AI-Powered-Resume-Analyzer-and-LinkedIn-Scraper-with-Selenium
Resume Analyzer AI is an advanced Streamlit application that specializes in thorough resume analysis. It excels at summarizing resumes, evaluating strengths, identifying weaknesses, and offering personalized improvement suggestions. It also recommends job titles and uses Selenium to extract vital LinkedIn data. The tool simplifies the job-seeking journey by providing comprehensive insights to elevate career opportunities.
For similar tasks

DataEngineeringPilipinas
DataEngineeringPilipinas is a repository dedicated to data engineering resources in the Philippines. It serves as a platform for data engineering professionals to contribute and access high-quality content related to data engineering. The repository provides guidelines for contributing, including forking the repository, making changes, and submitting contributions. It emphasizes the importance of quality, relevance, and respect in the contributions made to the project. By following the guidelines and contributing to the repository, users can help build a valuable resource for the data engineering community in the Philippines and beyond.
For similar jobs

lollms-webui
LoLLMs WebUI (Lord of Large Language Multimodal Systems: One tool to rule them all) is a user-friendly interface to access and utilize various LLM (Large Language Models) and other AI models for a wide range of tasks. With over 500 AI expert conditionings across diverse domains and more than 2500 fine tuned models over multiple domains, LoLLMs WebUI provides an immediate resource for any problem, from car repair to coding assistance, legal matters, medical diagnosis, entertainment, and more. The easy-to-use UI with light and dark mode options, integration with GitHub repository, support for different personalities, and features like thumb up/down rating, copy, edit, and remove messages, local database storage, search, export, and delete multiple discussions, make LoLLMs WebUI a powerful and versatile tool.

Azure-Analytics-and-AI-Engagement
The Azure-Analytics-and-AI-Engagement repository provides packaged Industry Scenario DREAM Demos with ARM templates (Containing a demo web application, Power BI reports, Synapse resources, AML Notebooks etc.) that can be deployed in a customer’s subscription using the CAPE tool within a matter of few hours. Partners can also deploy DREAM Demos in their own subscriptions using DPoC.

minio
MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.

mage-ai
Mage is an open-source data pipeline tool for transforming and integrating data. It offers an easy developer experience, engineering best practices built-in, and data as a first-class citizen. Mage makes it easy to build, preview, and launch data pipelines, and provides observability and scaling capabilities. It supports data integrations, streaming pipelines, and dbt integration.

AiTreasureBox
AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

tidb
TiDB is an open-source distributed SQL database that supports Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.

airbyte
Airbyte is an open-source data integration platform that makes it easy to move data from any source to any destination. With Airbyte, you can build and manage data pipelines without writing any code. Airbyte provides a library of pre-built connectors that make it easy to connect to popular data sources and destinations. You can also create your own connectors using Airbyte's no-code Connector Builder or low-code CDK. Airbyte is used by data engineers and analysts at companies of all sizes to build and manage their data pipelines.

labelbox-python
Labelbox is a data-centric AI platform for enterprises to develop, optimize, and use AI to solve problems and power new products and services. Enterprises use Labelbox to curate data, generate high-quality human feedback data for computer vision and LLMs, evaluate model performance, and automate tasks by combining AI and human-centric workflows. The academic & research community uses Labelbox for cutting-edge AI research.