Search Results for "dynamicreports-examples" - Page 41
Sort By:
Showing 4615 open source projects for "dynamicreports-examples"
View related business solutions-
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
-
1
Blade Heroicons
A package to easily make use of Heroicons in your Laravel Blade views
A package to easily make use of Heroicons in your Laravel Blade views. For a full list of available icons see the SVG directory or preview them at heroicons.com. Heroicons are originally developed by Steve Schoger and Adam Wathan. -
2
Laravel PDF
Create PDF files in Laravel apps
This package provides a simple way to create PDFs in Laravel apps. Under the hood it uses Chromium to generate PDFs from Blade views. You can use modern CSS features like grid and flexbox to create beautiful PDFs. -
3
Laravel Schemaless Attributes
Add schemaless attributes to Eloquent models
Wouldn't it be cool if you could have a bit of the spirit of NoSQL available in Eloquent? This package does just that. It provides a trait that when applied on a model, allows you to store arbitrary values in a single JSON column. -
4
S3Mock
A simple mock implementation of the AWS S3 API startable as Docker
S3Mock is a lightweight server that implements parts of the Amazon S3 API. It has been created to support local integration testing by reducing infrastructure dependencies. The S3Mock server can be started as a standalone Docker container, using Test containers, JUnit4, JUnit5 and TestNG support, or programmatically. -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
-
5
graphql upload typescript
Middleware and an Upload scalar to add support for GraphQL
Minimalistic and developer-friendly middleware and an Upload scalar to add support for GraphQL multipart requests (file uploads via queries and mutations) to various Node.js GraphQL servers. This module was forked from the amazing graphql-upload-minimal. The original module is exceptionally well-documented and well-written. It was very easy to fork and amend. -
6
Jupyter Notebook Tools for Sphinx
Sphinx source parser for Jupyter notebooks
nbsphinx is a Sphinx extension that provides a source parser for *.ipynb files. Custom Sphinx directives are used to show Jupyter Notebook code cells (and of course their results) in both HTML and LaTeX output. Un-evaluated notebooks – i.e. notebooks without stored output cells – will be automatically executed during the Sphinx build process. -
7
Calculus.jl
Calculus functions in Julia
The Calculus package provides tools for working with the basic calculus operations of differentiation and integration. You can use the Calculus package to produce approximate derivatives by several forms of finite differencing or to produce exact derivatives using symbolic differentiation. You can also compute definite integrals by different numerical methods. -
8
Claude Code CLI
A comprehensive guide for setting up Claude Code CLI
...It emphasizes real-world development scenarios, helping users apply AI assistance to tasks such as UI creation, debugging, and feature implementation. The guide also includes examples and patterns that demonstrate how to maintain code quality while leveraging AI tools. It is particularly useful for developers transitioning into AI-assisted workflows within mobile development. Overall, it serves as a practical handbook for combining AI capabilities with iOS engineering practices. -
9
min-sized-rust
How to minimize Rust binary size
...This project systematically explores how to invert those priorities, focusing instead on minimizing output size for use cases such as embedded systems, WebAssembly, and constrained deployment environments. It provides concrete examples and configurations showing how to strip symbols, reduce panic overhead, optimize linking, and eliminate unused code paths. The repository also highlights trade-offs between size, performance, and safety, helping developers understand the implications of each optimization step. -
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
10
AI Agent Deep Dive
AI Agent Source Code Deep Research Report
AI Agent Deep Dive is a comprehensive educational repository designed to provide a deep and structured understanding of how modern AI agents work, focusing on architecture, workflows, and real-world implementation patterns. It breaks down complex concepts such as planning, tool usage, memory management, and multi-step reasoning into digestible explanations and practical examples. The project is organized as a learning resource rather than a standalone framework, making it particularly useful for developers who want to move beyond surface-level prompt engineering into full agent system design. It explores how agents interact with environments, execute tasks, and maintain context over time, highlighting both strengths and limitations of current approaches. ... -
11
Clean Code concepts for .NET/.NET Core
Clean Code concepts and tools adapted for .NET
Clean Code concepts for .NET/.NET Core is a comprehensive guide and collection of best practices aimed at helping developers write clean, maintainable, and efficient code in .NET applications. It adapts widely accepted clean code principles to the .NET ecosystem, providing examples, explanations, and guidelines tailored to C# and related technologies. The repository covers topics such as naming conventions, code structure, error handling, and design patterns, emphasizing readability and long-term maintainability. It encourages developers to adopt disciplined coding habits that reduce technical debt and improve collaboration within teams. ... -
12
Rust Training Books
Beginner, advanced, expert level Rust training material
Rust Training Books is a comprehensive educational repository created to teach developers the Rust programming language through structured lessons, exercises, and practical examples. It is designed to guide learners from basic concepts such as ownership and borrowing to more advanced topics like concurrency, performance optimization, and system-level programming. The material emphasizes hands-on learning, encouraging users to actively write and experiment with code rather than passively reading documentation. ... -
13
Angular Style Guide
Angular Style Guide: A starting point for Angular development teams
...It covers topics such as modular architecture, component-based design, and separation of concerns, which are essential for building large-scale applications. The style guide also includes practical examples and explanations that illustrate why certain patterns are preferred. It is designed to be flexible, allowing developers to adapt its recommendations to their specific needs while maintaining core principles. The guide has been influential in shaping Angular development practices across the community. -
14
BigQuery Utils
Useful scripts, udfs, views, and other utilities for migration
...The repository is especially useful for organizations that need practical building blocks for migration from other database systems, since it includes compatibility-oriented utilities and migration-focused UDFs that mimic behavior from platforms such as Oracle, Redshift, and Netezza. It also supports day-to-day operational work by offering optimization scripts, billing queries, performance testing examples, and dashboards built on INFORMATION_SCHEMA metadata so teams can better understand slot usage, reservations, job execution, and errors. -
15
machine-learning-refined
Master the fundamentals of machine learning, deep learning
machine-learning-refined is an educational repository designed to help students and practitioners understand machine learning algorithms through intuitive explanations and interactive examples. The project accompanies a series of textbooks and teaching materials that focus on making machine learning concepts accessible through visual demonstrations and simple code implementations. Instead of presenting algorithms purely through mathematical derivations, the repository emphasizes geometric intuition, visualization, and step-by-step experimentation. ... -
16
Machine Learning and Data Science Apps
A curated list of applied machine learning and data science notebooks
...The repository organizes resources by industry categories such as finance, healthcare, agriculture, manufacturing, government, and retail, allowing practitioners to explore domain-specific machine learning use cases. Most examples are written in Python and frequently use Jupyter notebooks to present practical implementations and experiments. The project encourages contributions from data scientists and domain experts who want to share applied analytics projects and techniques that address real business challenges. -
17
KIS Open API
Korea Investment & Securities Open API Github
...It includes example scripts that demonstrate how to authenticate with the service, retrieve financial data, and execute trading operations through REST and WebSocket interfaces. The repository organizes its examples into two main groups: code designed for direct user implementation and simplified examples intended for large language model agents or automation workflows. -
18
All Agentic Architectures
Implementation of 17+ agentic architectures
...Each architecture is explained through runnable notebooks that illustrate how the agent works internally and how it interacts with tools, data sources, or other agents. The repository organizes the architectures into a structured learning path that progresses from simple reasoning agents to complex multi-agent systems. Examples include planning agents, tool-using agents, tree-of-thought reasoning systems, and collaborative multi-agent environments. -
19
LLM-Finetuning
LLM Finetuning with peft
...The project focuses on parameter-efficient fine-tuning methods such as LoRA and QLoRA, which allow large models to be adapted to new tasks without requiring full retraining. Instead of requiring specialized hardware or complex training pipelines, many examples are designed to run in cloud notebook environments such as Google Colab. The repository includes step-by-step notebooks demonstrating how to fine-tune models such as LLaMA, Falcon, OPT, Vicuna, and GPT-NeoX. These tutorials show how developers can adapt pretrained models for tasks such as chatbots, classification, and instruction following. ... -
20
Happy-LLM
Large Language Model Principles and Practice Tutorial from Scratch
...The project guides learners through the entire conceptual and practical pipeline of modern LLM development, starting with foundational natural language processing concepts and gradually progressing to advanced architectures and training techniques. It explains the Transformer architecture, pre-training paradigms, and model scaling strategies while also providing hands-on coding examples so readers can implement and experiment with their own models. The tutorial emphasizes practical understanding by walking users through building and training small language models, including tokenizer construction, pre-training workflows, and fine-tuning methods. -
21
handson-ml
Teaching you the fundamentals of Machine Learning in python
handson-ml hosts the notebooks for the first edition of the same hands-on ML book, reflecting the tooling and idioms of its time while teaching durable concepts. It walks through supervised and unsupervised learning with scikit-learn, then introduces deep learning using the earlier TensorFlow 1 graph-execution style. The examples underscore fundamentals like bias-variance trade-offs, regularization, and proper validation, grounding learners before they move to deep nets. Even though the deep learning stack evolved, the classical ML sections remain highly relevant for production data problems. The code is crafted to be clear rather than clever, prioritizing readability for newcomers. ... -
22
Docker Curriculum
A comprehensive tutorial on getting started with Docker
...By the end, readers are comfortable packaging applications and orchestrating them locally, with pointers toward production considerations. The curriculum is written in plain language with clear examples, making it suitable for self-study, workshops, and onboarding sessions. -
23
Hello SQL
Spanish-language course repository that teaches fundamentals of SQL
hello-sql is a beginner-friendly, Spanish-language course repository that teaches the fundamentals of SQL and relational databases through practical examples. It focuses mainly on MySQL for lessons due to its ubiquity in education and professional environments, while also introducing PostgreSQL to broaden learners’ exposure to modern database tooling. The materials emphasize real-world query writing, schema design basics, and the mental model behind SELECT, JOIN, GROUP BY, and subqueries. ... -
24
Python Core 50 Courses
Structured learning path that organizes Python fundamentals
...The curriculum starts with the basics—syntax, variables, data types, and control flow—then advances to functions, modules, object-oriented programming, and common standard-library utilities. Each lesson favors hands-on examples and short exercises so learners can immediately apply new concepts in code. Later sections typically touch on practical topics such as file I/O, error handling, regular expressions, and simple networking, giving learners a toolbox for everyday scripts and utilities. The material aims to be beginner-friendly while still building habits that matter in real projects, like writing readable functions and testing logic. ... -
25
Advanced Shiny
Shiny tips & tricks for improving your apps and solving common problem
The advanced-shiny repository is a curated collection of practical tips, design patterns, and mini Shiny apps focused on solving real-world challenges in R Shiny applications. The author (Dean Attali) collected many of the “harder” or less-documented tricks he uses or encounters frequently—things like controlling UI behavior dynamically, managing reactive logic, optimizing interactivity, and structuring large Shiny codebases. The repo’s structure includes folders of example apps each...
