Search Results for "Observability Open Source & DevTools" - Page 8
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Showing 264 open source projects for "Observability Open Source & DevTools"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Mastra
The TypeScript AI agent framework
Mastra is a TypeScript-first framework for building AI-powered applications and agents, designed to take projects from prototype to production on a modern JavaScript/TypeScript stack. It integrates cleanly with React, Next.js, and Node-based backends, but can also run as a standalone server, giving teams flexibility in how they deploy their AI logic. At its core, Mastra provides abstractions for agents, workflows, tools, memory, retrieval, and model routing, so developers can focus on... -
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WebF
Build flutter apps with HTML/CSS and JavaScript.
WebF (Web on Flutter) is a W3C standards-compliant web rendering engine based on Flutter, allowing web applications to run natively on Flutter. W3C Standards Compliant: WebF uses HTML/CSS and JavaScript to render content on Flutter, achieving 100% consistency with browser rendering. Front-End Framework Supports: As WebF is W3C standards compliant, it can be used with many front-end frameworks, such as React, Vue. Expand your Web App with Flutter: WebF is fully customizable. You can define a... -
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TurboGears
Python web framework with full-stack layer
TurboGears is a hybrid web framework able to act both as a Full Stack framework or as a Microframework. TurboGears helps you get going fast and gets out of your way when you want it! TurboGears can be used both as a full stack framework or as a microframework in single-file mode. TurboGears 2 is built on top of the experience of several next-generation web frameworks including TurboGears 1 (of course), Django, and Rails. All of these frameworks had limitations that frustrated us, and TG2 was... -
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Solid
A declarative JavaScript library for building user interfaces
Solid is a declarative JavaScript library for creating user interfaces. Instead of using a Virtual DOM, it compiles its templates to real DOM nodes and updates them with fine-grained reactions. Declare your state and use it throughout your app, and when a piece of state changes, only the code that depends on it will rerun. Check out our intro video or read on! Fine-grained updates to the real DOM. Declarative data: model your state as a system with reactive primitives. Render-once mental... -
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.
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Radar
The missing open source Kubernetes UI
Radar is a modern, local-first Kubernetes visibility and management tool that provides a unified interface for exploring, debugging, and operating cluster resources in real time. It runs as a single lightweight binary with no required cloud account, connecting directly to clusters using existing kubeconfig credentials. The platform combines multiple observability features such as topology graphs, event timelines, and traffic visualization into one cohesive UI. It allows users to inspect... -
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MyPerf4J
High performance Java APM. Powered by ASM
MyPerf4J is an open source Java performance monitoring and profiling tool designed to help developers and operations teams analyze application behavior with minimal overhead. It focuses on providing lightweight yet high-precision metrics collection for method execution times, throughput, and latency, making it particularly useful in high-performance production environments. -
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Dafthunk
A workflow execution platform built on top of the fantastic Cloudflare
Dafthunk is a browser-first visual workflow automation platform that lets you build, run, and monitor workflows without standing up a traditional server stack. It’s designed around durable, multi-step execution so workflows can keep going (and recover) even when individual steps fail, time out, or need retries. The platform is closely aligned with Cloudflare’s ecosystem, using edge-native building blocks for execution, orchestration, and storage so workflows can run near users with low... -
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Pathway
Python ETL framework for stream processing, real-time analytics, LLM
Pathway is an open-source framework designed for building real-time data applications using reactive and declarative paradigms. It enables seamless integration of live data streams and structured data into analytical pipelines with minimal latency. Pathway is especially well-suited for scenarios like financial analytics, IoT, fraud detection, and logistics, where high-velocity and continuously changing data is the norm. Unlike traditional batch processing frameworks, Pathway continuously... -
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AWS SDK for Java 2.0
The official AWS SDK for Java - Version 2
The AWS SDK for Java v2 is a modern, modular rewrite that reduces dependencies, improves performance, and embraces non-blocking I/O. Each AWS service ships as its own small artifact, so applications include only what they use, cutting footprint and cold-start time. The SDK provides both synchronous clients and a high-performance asynchronous stack built on event-driven HTTP, enabling reactive pipelines and high-throughput services. Models are immutable and builders are pervasive, leading to... -
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
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Langroid
Harness LLMs with Multi-Agent Programming
Given the remarkable abilities of recent Large Language Models (LLMs), there is an unprecedented opportunity to build intelligent applications powered by this transformative technology. The top question for any enterprise is: how best to harness the power of LLMs for complex applications? For technical and practical reasons, building LLM-powered applications is not as simple as throwing a task at an LLM system and expecting it to do it. Effectively leveraging LLMs at scale requires a... -
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Self-hosted AI Package
Run all your local AI together in one package
Self-hosted AI Package is an open-source Docker Compose-based starter kit that makes it easy to bootstrap a full local AI and low-code development environment with commonly used open tools, empowering developers to run LLMs and AI workflows entirely on their infrastructure. The stack typically includes Ollama for running local large language models, n8n as a low-code workflow automation platform, Supabase for database and vector storage, Open WebUI for interacting with models, Flowise for agent building, and additional services like SearXNG, Neo4j, and Langfuse for search, knowledge graphs, and observability. ... -
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Paddler
Open-source LLM load balancer and serving platform for hosting LLMs
Paddler is an open-source LLM infrastructure platform designed to deploy, manage, and scale large language models on private infrastructure. The system acts as a specialized load balancer and serving layer for language models, enabling organizations to run inference workloads without relying on external API providers. It supports running models locally through engines such as llama.cpp while distributing requests across multiple compute nodes to improve performance and reliability. The... -
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trench
Open-Source Analytics Infrastructure
Trench is an open-source analytics infrastructure designed for tracking events and performing real-time analysis of application data at scale. The system is built on top of high-performance data technologies including Apache Kafka and ClickHouse, which allows it to ingest and process very large volumes of events while maintaining fast query performance. -
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Statsviz
Visualize Go runtime metrics in real time
Statsviz is a Go library that provides real-time visualization of Go runtime metrics through an embedded web dashboard. By registering HTTP handlers in an application, developers can instantly expose live charts showing heap usage, garbage collection activity, goroutines, scheduler behavior, and other runtime statistics. The system streams metrics to the browser via WebSocket, enabling near-real-time updates with minimal overhead. statsviz is designed to integrate easily into existing Go... -
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Zypher Agent
A minimal yet powerful framework for creating AI agents
Zypher Agent is an open-source framework for building full-featured AI agents that can be embedded directly into applications, enabling reactive decision loops where the agent dynamically chooses its next actions. Unlike workflow-style orchestrators, it uses a reactive agent loop that interprets the task, reasons about next steps via LLMs, and integrates directly with extensible tools and external services. -
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Percona Toolkit
A collection of advanced open source command-line tools
Percona Toolkit is a collection of battle-tested command-line tools for MySQL and MariaDB that help diagnose performance, verify integrity, and perform online maintenance safely. Utilities such as pt-query-digest analyze slow logs and packet captures to surface hotspots and regressions, while pt-online-schema-change applies ALTERs with minimal blocking by copying and swapping tables. Consistency tools like pt-table-checksum and pt-table-sync detect and reconcile replication drift across... -
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ACI.dev
Open platform connecting AI agents to tools via unified MCP server
ACI is an open source platform designed to enable AI agents to interact with external tools through a unified and structured interface. It focuses on simplifying tool integration by connecting hundreds of pre-built services into agentic environments, allowing developers to avoid building custom API clients and authentication flows for each service. ACI provides intent-aware tool access, meaning agents can dynamically discover and use tools based on context rather than rigid configurations.... -
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AgentField
Build and run AI agents like microservices
AgentField is an open-source control plane designed to run AI agents as production-grade backend services, applying cloud-native principles similar to Kubernetes to the world of autonomous software. Instead of treating agents as isolated scripts or prototypes, the system elevates them to first-class infrastructure components that can be deployed, orchestrated, and managed at scale across distributed environments. Developers define agents as typed functions, and the platform automatically... -
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Rig
Rust framework for building modular and scalable LLM-powered apps
Rig is an open source Rust framework designed to help developers build modular and scalable applications powered by large language models. It provides a unified set of abstractions that allow applications to interact with many AI model providers and vector databases through a single interface. Its architecture emphasizes modularity, enabling developers to integrate only the components and integrations they need for a specific application. Rig includes built-in support for agent workflows,... -
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Sandstorm
One API call, pull Claude agent, completely sandboxed
Sandstorm is an open-source project that wraps a powerful Claude-based AI agent within a completely sandboxed, ephemeral API service designed to make agentic AI workflows easy to deploy and scale without infrastructure complexity. The core idea is to provide “one API call” access to a robust Claude agent loop that runs inside a secure sandbox, so you can upload files, connect tools, and run long-running tasks — all managed behind a simple REST-style interface that disappears when the work is done. ... -
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Agent Reinforcement Trainer
Train multi-step agents for real-world tasks using GRPO
Agent Reinforcement Trainer, or ART is an open-source reinforcement learning framework tailored to training large language model agents through experience, making them more reliable and performant on multi-turn, multi-step tasks. Instead of just manually crafting prompts or relying on supervised fine-tuning, ART uses techniques like Group Relative Policy Optimization (GRPO) to let agents learn from environmental feedback and reward signals. -
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c15t
The Developer-First Cookie Banner
c15t is a developer-first, open-source consent management platform designed to help modern web applications manage user privacy and compliance, especially for things like cookie banners, consent dialogs, and script loading in a way that supports GDPR and other privacy regulations. Rather than relying on heavy third-party scripts or services, it offers a flexible, headless engine that web teams can integrate directly into their front-end and edge stacks with minimal overhead, giving full control over user experience and data handling. c15t runs entirely in the front end or at the edge, blocking or allowing scripts based on user decisions and tracking those states for observability and auditing. ... -
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DoKit
A platform for the life cycle of pan-front-end product development
DoKit is a debugging and quality-of-experience toolkit for mobile (primarily Android) apps that provides an in-app overlay with tools for inspection, monitoring, and interaction. It offers features like CPU/memory monitoring, frame rate detection, network logging, view hierarchy inspection, and plugin support to expand capabilities. Developers can interactively explore UI layouts, measure layout times, simulate slow networks, or trace touch events—all while the app is running on the device.... -
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TraceRoot
Find the Root Cause in Your Code's Trace
TraceRoot.AI is an open source, AI-native observability and debugging platform designed to help engineering teams resolve production issues faster. It consolidates telemetry into a single correlated execution tree that provides causal context for failures. AI agents operate over this structured view to summarize issues, pinpoint likely root causes, and even suggest actionable fixes or draft GitHub issues and pull requests. -
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KaibanJS
JS-native framework for building and managing multi-agent systems
JavaScript-native framework for building multi-agent AI systems. Multi-agent AI systems promise to revolutionize how we build interactive and intelligent applications. However, most AI frameworks cater to Python, leaving JavaScript developers at a disadvantage. KaibanJS fills this void by providing a first-of-its-kind, JavaScript-native framework designed specifically for building and integrating AI Agents. Harness the power of specialization by configuring AI agents to excel in distinct,...
