Search Results for "engineering" - Page 15
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Showing 16938 open source projects for "engineering"
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Pydantic Logfire
Python observability platform for tracing apps, metrics, and logs
Pydantic Logfire is an observability platform designed to help developers monitor, analyze, and understand the behavior of their applications in real time. It is built by the team behind Pydantic and follows a philosophy of combining powerful capabilities with ease of use, making it accessible to entire engineering teams. Pydantic Logfire provides deep visibility into application performance by capturing traces, metrics, and logs through an OpenTelemetry-based architecture. It is particularly strong in Python environments, offering detailed insights into Python objects, event loops, database queries, and validation flows. Logfire also integrates closely with Pydantic models, enabling developers to inspect and analyze how data moves through validation layers. ... -
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Made With ML
Learn how to develop, deploy and iterate on production-grade ML
...It provides structured lessons and practical code examples that demonstrate how to design machine learning workflows, manage datasets, train models, evaluate performance, and deploy inference services. The repository organizes these concepts into modular Python scripts that follow software engineering best practices such as testing, configuration management, logging, and version control. Through a combination of tutorials, notebooks, and production-ready scripts, the project demonstrates how machine learning applications should be developed as maintainable systems rather than isolated experiments. -
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JAX
Composable transformations of Python+NumPy programs
With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order. What’s new is that JAX uses XLA to compile and run your NumPy programs on GPUs and... -
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Potpie
Create custom engineering agents for your codebase
Potpie is an AI-powered data analysis tool that automates the exploration and visualization of datasets, assisting users in uncovering insights without extensive coding. -
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Transformers & LLMs cheatsheet
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language
...It is designed to help students and practitioners understand the technical foundations behind contemporary AI systems such as GPT-style models and multimodal architectures. The repository emphasizes conceptual clarity while still addressing practical engineering considerations involved in training and scaling transformer models. It serves as both a study companion and a technical reference for researchers exploring the rapidly evolving LLM ecosystem. -
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PromptingTools.jl
Streamline your life using PromptingTools.jl
PromptingTools.jl is a Julia-based toolkit designed to simplify prompt engineering and unify interactions with multiple large language model providers through a consistent interface. It focuses on reducing the complexity of prompt creation by introducing templating systems, macros, and reusable functions that standardize how prompts are constructed and executed. The library provides a family of ai* functions that handle tasks such as generation, embeddings, classification, and data extraction, all following a consistent structure. ... -
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System Prompts Leaks
Collection of extracted System Prompts from popular chatbots
System Prompts Leaks is a curated repository that collects known leaked or publicly exposed system prompts used by large language models, organized so researchers, developers, and AI safety advocates can analyze them in one place. The project highlights how system prompts — instructions that strongly influence model behavior — have been inadvertently shared in forums, datasets, and open repositories, illustrating common patterns and potential vulnerabilities in prompt design and deployment.... -
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OpenMeter
Metering and Billing for AI, API and DevOps
...OpenMeter integrates with payment processors, CRMs, and analytics systems, letting teams launch complex pricing models or subscription tiers without heavy custom engineering work. -
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Cucumber JVM
Cucumber for the JVM
...Cucumber-JVM also integrates with all the popular Dependency Injection containers. It’s simple. Whether open source or commercial, our collaboration tools will boost your engineering team's performance by employing Behavior-Driven Development (BDD). And with our world-class training, take it to places it’s never been. Validate executable specifications against your code on any modern development stack. 40+ million open source downloads, the #1 tool for BDD. Define the feature files with all your stakeholders using Behavior-Driven Development (BDD). ... -
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EGO
A simple and component-based microservice kit for go
EGO is a microservice-oriented governance framework implemented by golang, which integrates various engineering practices. Through the component-based design pattern, it is guaranteed that the business development can use various components in a unified way. For us engineers to improve component proficiency, we must first read a lot of open-source component documentation and code, and then insist on using it for a long time in order to form muscle memory and improve our speed of doing business. ... -
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WireMock.Net
WireMock.Net is a product for stubbing and mocking web HTTP responses
Free and Open Source tool for building mock APIs. Create stable development environments, isolate yourself from flakey 3rd parties and simulate APIs that don't exist yet. WireMock frees you from dependency on unstable APIs and allows you to develop with confidence. It's easy to launch a mock API server and simulate a host of real-world scenarios and APIs - including REST, SOAP, OAuth2 and more. WireMock is a free API mocking tool that can be run as a standalone server, or in a hosted version... -
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wipEout Rewrite
This is a re-implementation of the 1995 PSX game wipEout
wipEout Rewrite is a reverse-engineering and reimplementation project focused on recreating the original Wipeout game engine in modern portable C code. The project aims to preserve and modernize the classic futuristic racing game by rebuilding its engine architecture while improving compatibility with contemporary hardware and operating systems. It includes systems for rendering, physics, input handling, audio, and gameplay logic while remaining faithful to the original PlayStation-era experience. ... -
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JeecgBoot
Low-code enterprise web development platform
...Multi-tenancy, API scaffolding, and pluginable modules make it suitable for both monolith and microservice deployments. In practice, it shortens the path from schema to usable back-office systems, leaving custom logic and integrations as the primary engineering focus. -
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aie-book
Resources for AI engineers
aie-book is an open-source companion repository that supports a comprehensive guide to building real-world applications with modern AI systems, particularly those based on foundation models. It focuses on bridging the gap between theoretical machine learning knowledge and practical engineering workflows required to deploy AI systems in production. The material emphasizes system design, data pipelines, evaluation strategies, and deployment considerations rather than just model training. It explores how to work with large language models, retrieval systems, and agent-based architectures, providing a practical perspective on how AI is actually used in industry. ... -
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Machine Learning Study
This repository is for helping those interested in machine learning
...The project compiles notebooks, explanatory documents, and practical code examples that illustrate common machine learning workflows. Topics covered include supervised learning algorithms, feature engineering, model training, and performance evaluation techniques. The repository is structured as a learning resource that guides readers through building machine learning models step by step. It often demonstrates how to implement algorithms using widely used libraries such as NumPy, pandas, scikit-learn, and TensorFlow. Many examples include dataset preparation, visualization of results, and experimentation with different modeling approaches. -
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ERAlchemy
Entity Relation Diagrams generation tool
ERAlchemy is a tool that generates Entity-Relationship (ER) diagrams from databases or SQLAlchemy models and vice versa. It’s useful for database documentation, reverse engineering, and understanding complex schemas. ERAlchemy can export diagrams in formats like Graphviz and Mermaid, making it easy to include in reports or markdown files. -
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Perfect Roadmap To Learn Data Science
Basic To Intermediate Python data science guide
...The roadmap is organized to guide learners systematically: starting with Python fundamentals and math/statistics, then progressing through classical machine-learning, deep-learning, data preprocessing, feature engineering, and onto domain-specific applications like computer vision or NLP, ending with deployment, real-world project construction, and best practices for production readiness. What makes it particularly valuable is its holistic nature: rather than focusing only on modeling or theory, it also addresses the broader lifecycle of data-science work, data ingestion, cleaning, EDA, feature engineering, model building, validation, deployment, etc. -
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Agentic Context Engine
Make your agents learn from experience
Agentic Context Engine (ACE) is an open-source framework designed to help AI agents improve their performance by learning from their own execution history. Instead of relying solely on model training or fine-tuning, the framework focuses on structured context engineering, allowing agents to accumulate knowledge from past successes and failures during task execution. The system treats context as a dynamic “playbook” that evolves over time through a process of generation, reflection, and curation, enabling agents to refine strategies across repeated tasks. In this workflow, one component generates solutions, another reflects on outcomes, and a third curates useful knowledge so it can be reused in future interactions. ... -
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Coze Loop
Next-generation AI Agent Optimization Platform
Coze Loop is a developer-oriented platform that provides full lifecycle management for AI agents, covering everything from prompt engineering to production monitoring. The project aims to simplify the increasingly complex workflow of building reliable AI agents by offering integrated tools for debugging, evaluation, observability, and optimization. Through its visual playground, developers can test prompts interactively and compare outputs across different language models. -
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Antigravity Kit
AI Agent templates with Skills, Agents, and Workflows
...It comes with an extensive library of predefined agent personas and domain-specific skills that help in performing targeted tasks such as frontend development, backend engineering, quality assurance, and more. With this kit, developers can rapidly initialize a project scaffold and gain access to specialist agents and command workflows that guide the agent through multi-step tasks and slash-command procedures. The repository follows a clear pattern for defining agents and their behaviors, making it easier to extend with new skills or tailor existing ones to your use case. ... -
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Magnetar Quantum Vacuum Engineering
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20 pipelines of the QCAUS/PDPBioGen suites are undergoing consolidation for high-scale institutional research. Core 'Ford 2026' algorithms remain the proprietary IP of the Ford Peace aJustice Foundation. Academic users at partner institutions are currently performing validation; all other commercial inquiries must contact the author.quantum nature of the universe – from the early cosmos to extreme astrophysical... -
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Modern C++ Programming
Modern C++ Programming Course
Modern-CPP-Programming is a teaching repository that introduces practical C++11/14/17 features through focused examples, exercises, and notes. It walks through core language topics like RAII, move semantics, templates and metaprogramming, lambdas, and smart pointers with an eye toward real-world patterns. Concurrency and performance enter the picture via threads, atomics, futures, and memory considerations, helping learners reason about correctness and speed. The materials highlight best... -
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Synkra AIOS
AI-Orchestrated System for Full Stack Development
...The framework includes features for project setup, environment configuration, deployment scaffolding, and intelligent code generation, potentially reducing time spent on boilerplate and repetitive engineering tasks. Synkra AIOS positions itself as a productivity middleware that integrates AI reasoning within traditional devops, front-end, and back-end workflows, allowing teams to produce production-ready applications faster. -
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Aim
An easy-to-use & supercharged open-source experiment tracker
...Aim is an open-source, self-hosted AI Metadata tracking tool designed to handle 100,000s of tracked metadata sequences. The two most famous AI metadata applications are: experiment tracking and prompt engineering. Aim provides a performant and beautiful UI for exploring and comparing training runs, and prompt sessions. -
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Npgsql Entity Framework Core PostgreSQL
Entity Framework Core provider for PostgreSQL
Npgsql.EntityFrameworkCore.PostgreSQL is the open source EF Core provider for PostgreSQL. It allows you to interact with PostgreSQL via the most widely-used .NET O/RM from Microsoft, and use familiar LINQ syntax to express queries. It's built on top of Npgsql. The provider looks and feels just like any other Entity Framework Core provider. Aside from providing general EF Core support for PostgreSQL, the provider also exposes some PostgreSQL-specific capabilities, allowing you to query JSON,...
